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You searched for +publisher:"Brno University of Technology" +contributor:("Ronzhina, Marina"). Showing records 1 – 30 of 105 total matches.

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Brno University of Technology

1. Kliment, Juraj. Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/194896 

► The bachelor thesis deals with the comparison of EEG signals from the human brain. The aim of this work is to find suitable nonlinear parameters,… (more)

Subjects/Keywords: Elektroencefalogram; Hurstov exponent; Korelačná dimenzia; Lyapunov exponent; Nelineárna analýza EEG; Odhadovaná entropia; Approximate entropy; Correlation Dimension; Electroencephalogram; Hurst Exponent; Lyapunov Exponent; Non-linear EEG Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kliment, J. (2020). Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/194896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kliment, Juraj. “Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/194896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kliment, Juraj. “Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison.” 2020. Web. 07 Mar 2021.

Vancouver:

Kliment J. Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/194896.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kliment J. Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/194896

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

2. Kantor, Marek. Detekce komorových extrasystol v EKG: Detection of premature ventricular contractions in ECG.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/190310 

► This thesis focusses on the detection methods of extrasystoles from ECG and description of electrocardiogram, cardiac conduction system, extrasystoles and ventricular tachycardia. Extrasystoles are premature… (more)

Subjects/Keywords: elektrokardiogram; EKG; komorová extrasystola; KES; komorová tachykardie; detekce KES; detekce blokád Tawarova raménka; BBB; electrocardiogram; ECG; ventricular extrasystole; PVC; ventricular tachycardia; PVC detection; detection of bundle branch block; BBB

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kantor, M. (2020). Detekce komorových extrasystol v EKG: Detection of premature ventricular contractions in ECG. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190310

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kantor, Marek. “Detekce komorových extrasystol v EKG: Detection of premature ventricular contractions in ECG.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/190310.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kantor, Marek. “Detekce komorových extrasystol v EKG: Detection of premature ventricular contractions in ECG.” 2020. Web. 07 Mar 2021.

Vancouver:

Kantor M. Detekce komorových extrasystol v EKG: Detection of premature ventricular contractions in ECG. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/190310.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kantor M. Detekce komorových extrasystol v EKG: Detection of premature ventricular contractions in ECG. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190310

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

3. Martinková, Tereza. Klasifikace spánkových fází z polysomnografických záznamů: Sleep stage classification using polysomnographic records.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/190312 

► The bachelor thesis deals with the description of polysomnography, electroencephalography, electrooculography and electromyography. The work also discusses the issue of individual sleep phases. Followed by… (more)

Subjects/Keywords: spánkové fáze; polysomnografie; analýza dat; EEG; EMG; EOG; klasifikace; neuronové sítě; sleep stages; polysomnography; data analysis; EEG; EMG; EOG; classification; neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Martinková, T. (2020). Klasifikace spánkových fází z polysomnografických záznamů: Sleep stage classification using polysomnographic records. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190312

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Martinková, Tereza. “Klasifikace spánkových fází z polysomnografických záznamů: Sleep stage classification using polysomnographic records.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/190312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Martinková, Tereza. “Klasifikace spánkových fází z polysomnografických záznamů: Sleep stage classification using polysomnographic records.” 2020. Web. 07 Mar 2021.

Vancouver:

Martinková T. Klasifikace spánkových fází z polysomnografických záznamů: Sleep stage classification using polysomnographic records. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/190312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Martinková T. Klasifikace spánkových fází z polysomnografických záznamů: Sleep stage classification using polysomnographic records. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190312

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Němečková, Karolína. Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/190314 

► This bachelor thesis deals with application of cluster analysis to different ECG records in order to identify particular cardiac pathologies. The work is mainly focused… (more)

Subjects/Keywords: EKG; RR interval; korelace; detekce extrasystol; shlukování srdečních rytmů; fuzzy interferenční systém; ECG; RR interval; correlation; extrasystols detection; cardiac beats clustering; fuzzy inference system

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Němečková, K. (2020). Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Němečková, Karolína. “Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/190314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Němečková, Karolína. “Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles.” 2020. Web. 07 Mar 2021.

Vancouver:

Němečková K. Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/190314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Němečková K. Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

5. Kliment, Juraj. Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/190330 

► The bachelor thesis deals with the comparison of EEG signals from the human brain. The aim of this work is to find suitable nonlinear parameters,… (more)

Subjects/Keywords: Elektroencefalogram; Hurstov exponent; Korelačná dimenzia; Lyapunov exponent; Nelineárna analýza EEG; Odhadovaná entropia; Approximate entropy; Correlation Dimension; Electroencephalogram; Hurst Exponent; Lyapunov Exponent; Non-linear EEG Analysis

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❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kliment, J. (2020). Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kliment, Juraj. “Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/190330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kliment, Juraj. “Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison.” 2020. Web. 07 Mar 2021.

Vancouver:

Kliment J. Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/190330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kliment J. Metody komparace záznamů elektroencefalografu: Methods for electroencephalogram records comparison. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

6. Prokopová, Ivona. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189311 

► Atrial fibrillation is one of the most common cardiac rhythm disorders characterized by ever-increasing prevalence and incidence in the Czech Republic and abroad. The incidence… (more)

Subjects/Keywords: Převodní systém srdeční; elektrokardiogram; srdeční arytmie; fibrilace síní; detekce fibrilace síní; klasifikační algoritmus; k-nearest neighbor; metoda podpůrných vektorů; vícevrstvá neuronová síť; Cardiac conduction system; electrocardiogram; cardiac arrhythmia; atrial fibrillation; detection of atrial fibrillation; classification algorithm; k-nearest neighbor; support vector machine; multilayer neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Prokopová, I. (2020). Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189311

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Prokopová, Ivona. “Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189311.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Prokopová, Ivona. “Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection.” 2020. Web. 07 Mar 2021.

Vancouver:

Prokopová I. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189311.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Prokopová I. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189311

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

7. Zhorný, Lukáš. Detekce komplexů QRS v signálech EKG: Detection of QRS complexes in ECG signals.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189316 

► This thesis deals with the detection of QRS complexes from electrocardiograms using time-frequency analysis. Detection procedures are based on wavelet and Stockwell transform. The theoretical… (more)

Subjects/Keywords: EKG; komplex QRS; časově-frekvenční transformace; vlnková transformace; Stockwellova transformace; databáze CSE; databáze arytmií MIT-BIH; senzitivita; pozitivní prediktivita; ECG; QRS complex; time-frequency transform; wavelet transform; Stockwell transform; CSE database; MIT-BIH arrhythmia database; sensitivity; positive predictivity

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhorný, L. (2020). Detekce komplexů QRS v signálech EKG: Detection of QRS complexes in ECG signals. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189316

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhorný, Lukáš. “Detekce komplexů QRS v signálech EKG: Detection of QRS complexes in ECG signals.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189316.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhorný, Lukáš. “Detekce komplexů QRS v signálech EKG: Detection of QRS complexes in ECG signals.” 2020. Web. 07 Mar 2021.

Vancouver:

Zhorný L. Detekce komplexů QRS v signálech EKG: Detection of QRS complexes in ECG signals. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189316.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhorný L. Detekce komplexů QRS v signálech EKG: Detection of QRS complexes in ECG signals. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189316

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

8. Ambrožová, Monika. Analýza vybraných fyziologických parametrů sportovců během zátěže: Analysis of selected physiological parameters of athletes during exercise.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189393 

► Regular sport activity is considered as neccessary part of our lifes. Sport is reccomended for preventing various diseases, enhancing immunity system or for controlling weight… (more)

Subjects/Keywords: Ultramaraton; mountbiking; IgA; IgM; leukocyty; kreatinin; CK; LDH; ALT; Na+; K+; statistická analýza; Ultra-maraton; mountbiking; IgA; IgM; leukocyty; kreatinin; CK; LDH; ALT; Na+; K+; statistical analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ambrožová, M. (2020). Analýza vybraných fyziologických parametrů sportovců během zátěže: Analysis of selected physiological parameters of athletes during exercise. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189393

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ambrožová, Monika. “Analýza vybraných fyziologických parametrů sportovců během zátěže: Analysis of selected physiological parameters of athletes during exercise.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189393.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ambrožová, Monika. “Analýza vybraných fyziologických parametrů sportovců během zátěže: Analysis of selected physiological parameters of athletes during exercise.” 2020. Web. 07 Mar 2021.

Vancouver:

Ambrožová M. Analýza vybraných fyziologických parametrů sportovců během zátěže: Analysis of selected physiological parameters of athletes during exercise. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189393.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ambrožová M. Analýza vybraných fyziologických parametrů sportovců během zátěže: Analysis of selected physiological parameters of athletes during exercise. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189393

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

9. Benáček, Petr. Hodnocení kvality spánku: Sleep quality assessment.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/190304 

► The topic of this bachelor thesis is an automatic sleep quality assessment using artificial neural network. To assess the quality of sleep were used the… (more)

Subjects/Keywords: spánek; hodnocení kvality spánku; klasifikace; chytré hodinky; neuronová síť; sleep; sleep assessment; classification; smartwatch; neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Benáček, P. (2020). Hodnocení kvality spánku: Sleep quality assessment. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190304

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Benáček, Petr. “Hodnocení kvality spánku: Sleep quality assessment.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/190304.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Benáček, Petr. “Hodnocení kvality spánku: Sleep quality assessment.” 2020. Web. 07 Mar 2021.

Vancouver:

Benáček P. Hodnocení kvality spánku: Sleep quality assessment. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/190304.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Benáček P. Hodnocení kvality spánku: Sleep quality assessment. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190304

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

10. Budíková, Barbora. Automatická detekce fibrilace síní pomocí metod hlubokého učení: Deep Neural Network for Detection of Atrial Fibrillation.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189149 

► Atrial fibrillation is an arrhythmia commonly detected from ECG using its specific characteristics. An early detection of this arrhythmia is a key to prevention of… (more)

Subjects/Keywords: Fibrilace síní; automatická detekce; EKG; hluboké učení; konvoluční sítě; F1 skóre; Python; Atrial Fibrillation; Automated detection; ECG; Deep Learning; Convolutional Networks; F1 measure; Python

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Budíková, B. (2020). Automatická detekce fibrilace síní pomocí metod hlubokého učení: Deep Neural Network for Detection of Atrial Fibrillation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Budíková, Barbora. “Automatická detekce fibrilace síní pomocí metod hlubokého učení: Deep Neural Network for Detection of Atrial Fibrillation.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Budíková, Barbora. “Automatická detekce fibrilace síní pomocí metod hlubokého učení: Deep Neural Network for Detection of Atrial Fibrillation.” 2020. Web. 07 Mar 2021.

Vancouver:

Budíková B. Automatická detekce fibrilace síní pomocí metod hlubokého učení: Deep Neural Network for Detection of Atrial Fibrillation. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Budíková B. Automatická detekce fibrilace síní pomocí metod hlubokého učení: Deep Neural Network for Detection of Atrial Fibrillation. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Sláma, Štěpán. Pokročilá klasifikace poruch srdečního rytmu v EKG: Advanced classification of cardiac arrhythmias in ECG.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189156 

► This work focuses on a theoretical explanation of heart rhythm disorders and the possibility of their automatic detection using deep learning networks. For the purposes… (more)

Subjects/Keywords: Elektrokardiogram; poruchy srdečního rytmu; hluboké učení; konvoluční neuronová síť; rekurentní neuronová síť; Electrocardiogram; cardiac rhythm disorders; deep learning; convolution neural network; recurrent neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sláma, . (2020). Pokročilá klasifikace poruch srdečního rytmu v EKG: Advanced classification of cardiac arrhythmias in ECG. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sláma, Štěpán. “Pokročilá klasifikace poruch srdečního rytmu v EKG: Advanced classification of cardiac arrhythmias in ECG.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sláma, Štěpán. “Pokročilá klasifikace poruch srdečního rytmu v EKG: Advanced classification of cardiac arrhythmias in ECG.” 2020. Web. 07 Mar 2021.

Vancouver:

Sláma . Pokročilá klasifikace poruch srdečního rytmu v EKG: Advanced classification of cardiac arrhythmias in ECG. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189156.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sláma . Pokročilá klasifikace poruch srdečního rytmu v EKG: Advanced classification of cardiac arrhythmias in ECG. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189156

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Šagát, Martin. Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů: Generative Adversial Network for Artificial ECG Generation.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189246 

► The work deals with the generation of ECG signals using generative adversarial networks (GAN). It examines in detail the basics of artificial neural networks and… (more)

Subjects/Keywords: Generatívne kompetitívne siete; GAN; umelé neurónové siete; neurón; EKG; arytmie; generovanie signálov; Python; CNN; BiLSTM; Generative adversarial networks; GAN; artificial neural networks; neuron; ECG; arrhythmias; signal generation; Python; CNN; BiLSTM

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Šagát, M. (2020). Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů: Generative Adversial Network for Artificial ECG Generation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189246

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Šagát, Martin. “Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů: Generative Adversial Network for Artificial ECG Generation.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189246.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Šagát, Martin. “Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů: Generative Adversial Network for Artificial ECG Generation.” 2020. Web. 07 Mar 2021.

Vancouver:

Šagát M. Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů: Generative Adversial Network for Artificial ECG Generation. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189246.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šagát M. Návrh generativní kompetitivní neuronové sítě pro generování umělých EKG záznamů: Generative Adversial Network for Artificial ECG Generation. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189246

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

13. Navrátilová, Markéta. Nové metody pro analýzu spánku a klasifikaci: Novel methods for sleep analysis and classification.

Degree: 2020, Brno University of Technology

URL: http://hdl.handle.net/11012/189281 

► This diploma thesis deals with methods for sleep analysis and classification. Sleep stagesand biosignals patterns during sleep are described as well as methods for classification.Features… (more)

Subjects/Keywords: Fáze spánku; variabilita srdečního rytmu; elektrodermální aktivita; respirační indukčnípletysmografie; náhodný les; t-SNE; Sleep stages; heart rate variability; electrodermal activity; respiratory inductance plethys-mography; random forest; t-SNE

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Navrátilová, M. (2020). Nové metody pro analýzu spánku a klasifikaci: Novel methods for sleep analysis and classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189281

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Navrátilová, Markéta. “Nové metody pro analýzu spánku a klasifikaci: Novel methods for sleep analysis and classification.” 2020. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/189281.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Navrátilová, Markéta. “Nové metody pro analýzu spánku a klasifikaci: Novel methods for sleep analysis and classification.” 2020. Web. 07 Mar 2021.

Vancouver:

Navrátilová M. Nové metody pro analýzu spánku a klasifikaci: Novel methods for sleep analysis and classification. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/189281.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Navrátilová M. Nové metody pro analýzu spánku a klasifikaci: Novel methods for sleep analysis and classification. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189281

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

14. Němčáková, Jesika. Automatická detekce blokády levého Tawarova raménka dle striktních kritérií: Automatic detection of strict left bundle branch block.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/173606 

► The aim of this paper is to introduce the theory behind electrophysiology of hearth and pathology of left bundle branch. Furthermore, algorithms for automatic detection… (more)

Subjects/Keywords: EKG; blokáda levého Tawarova raménka; Straussova kritéria; CRT; ECG; left bundle branch block; strict criteria; CRT

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Němčáková, J. (2019). Automatická detekce blokády levého Tawarova raménka dle striktních kritérií: Automatic detection of strict left bundle branch block. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Němčáková, Jesika. “Automatická detekce blokády levého Tawarova raménka dle striktních kritérií: Automatic detection of strict left bundle branch block.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/173606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Němčáková, Jesika. “Automatická detekce blokády levého Tawarova raménka dle striktních kritérií: Automatic detection of strict left bundle branch block.” 2019. Web. 07 Mar 2021.

Vancouver:

Němčáková J. Automatická detekce blokády levého Tawarova raménka dle striktních kritérií: Automatic detection of strict left bundle branch block. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/173606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Němčáková J. Automatická detekce blokády levého Tawarova raménka dle striktních kritérií: Automatic detection of strict left bundle branch block. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

15. Jagošová, Petra. Analýza polysomnografických dat: Polysomnographic data analysis.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/173620 

► The bachelor´s thesis is focused on analysis of polysomnographic signals based on various parameters in time and frequency domain. The parameters are acquired from 30… (more)

Subjects/Keywords: Spánkové fáze; polysomnografie; analýza PSG dat; časová analýza; frekvenční analýza.; Sleep stages; polysomnography; PSG data analysis; time-domain analysis; frequency-domain analysis.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jagošová, P. (2019). Analýza polysomnografických dat: Polysomnographic data analysis. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jagošová, Petra. “Analýza polysomnografických dat: Polysomnographic data analysis.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/173620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jagošová, Petra. “Analýza polysomnografických dat: Polysomnographic data analysis.” 2019. Web. 07 Mar 2021.

Vancouver:

Jagošová P. Analýza polysomnografických dat: Polysomnographic data analysis. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/173620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jagošová P. Analýza polysomnografických dat: Polysomnographic data analysis. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

16. Repčík, Tomáš. Detekce pádu a autonehody prostřednictvím Android smartphonu: Detection of car accident and collapse by Android smartphone.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/173624 

► Bachelor thesis “Detection of car accident and collapse by Android smartphone” describes theoretical basics of a collapse and a car accident. With help of 23… (more)

Subjects/Keywords: Pád; autohavária; Android; Python; Java; strojové učenie; neurónová sieť; Collapse; car accident; Android; Python; Java; machine learning; neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Repčík, T. (2019). Detekce pádu a autonehody prostřednictvím Android smartphonu: Detection of car accident and collapse by Android smartphone. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Repčík, Tomáš. “Detekce pádu a autonehody prostřednictvím Android smartphonu: Detection of car accident and collapse by Android smartphone.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/173624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Repčík, Tomáš. “Detekce pádu a autonehody prostřednictvím Android smartphonu: Detection of car accident and collapse by Android smartphone.” 2019. Web. 07 Mar 2021.

Vancouver:

Repčík T. Detekce pádu a autonehody prostřednictvím Android smartphonu: Detection of car accident and collapse by Android smartphone. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/173624.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Repčík T. Detekce pádu a autonehody prostřednictvím Android smartphonu: Detection of car accident and collapse by Android smartphone. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173624

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

17. Ředina, Richard. Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/173641 

► The bachelor thesis explores the aplication of cluster analysis on diferent ECGs in order to create a reliable algorithm for detecting different QRS complexes. Algorithm… (more)

Subjects/Keywords: EKG; QRS komplex; srdeční arytmie; shluková analýza; k-means; PCA; korelace; siluety; ECG; QRS complex; cardiac arytmias; cluster analysis; k-means; PCA; correlation; silhouette

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ředina, R. (2019). Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173641

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ředina, Richard. “Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/173641.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ředina, Richard. “Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles.” 2019. Web. 07 Mar 2021.

Vancouver:

Ředina R. Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/173641.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ředina R. Třídění EKG cyklů pomoci shlukové analýzy: Clustering of ECG cycles. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173641

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

18. Sámel, Maroš. Detekce atriálních fibrilací metodami v časové oblasti: Atrial fibrillation detection using time-domain methods.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/173647 

► The purpose of this work is to get better understanding of the problems of atrial fibrillation followed by the processing methods for detection of atrial… (more)

Subjects/Keywords: Atriálne fibrilácie; elektrokardiografia; R hrot; krátkodobé RR intervaly; špecificita; senzitivita.; Atrial fibrillation; electrocardiography; R peak; short term RR intervals; specificity; sensitivity.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sámel, M. (2019). Detekce atriálních fibrilací metodami v časové oblasti: Atrial fibrillation detection using time-domain methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sámel, Maroš. “Detekce atriálních fibrilací metodami v časové oblasti: Atrial fibrillation detection using time-domain methods.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/173647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sámel, Maroš. “Detekce atriálních fibrilací metodami v časové oblasti: Atrial fibrillation detection using time-domain methods.” 2019. Web. 07 Mar 2021.

Vancouver:

Sámel M. Detekce atriálních fibrilací metodami v časové oblasti: Atrial fibrillation detection using time-domain methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/173647.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sámel M. Detekce atriálních fibrilací metodami v časové oblasti: Atrial fibrillation detection using time-domain methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173647

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

19. Hlaváčová, Kristýna. Detekce K-komplexů ve spánkových signálech EEG: Detection of K-complexes in sleep EEG signals.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177631 

► This master’s thesis deals with issues of the detection of K-complexes in EEG sleep signals. Record from an electroencephalograph is important for non-invasive diagnosis and… (more)

Subjects/Keywords: K-komplex; grafoelement; Elektroencefalografie (EEG); Stockwellova transformace; pásmová propust; TKEO; K-complex; grafoelement; Electroencephalography (EEG); Stockwell transform; bandpass; TKEO

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hlaváčová, K. (2019). Detekce K-komplexů ve spánkových signálech EEG: Detection of K-complexes in sleep EEG signals. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177631

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hlaváčová, Kristýna. “Detekce K-komplexů ve spánkových signálech EEG: Detection of K-complexes in sleep EEG signals.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/177631.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hlaváčová, Kristýna. “Detekce K-komplexů ve spánkových signálech EEG: Detection of K-complexes in sleep EEG signals.” 2019. Web. 07 Mar 2021.

Vancouver:

Hlaváčová K. Detekce K-komplexů ve spánkových signálech EEG: Detection of K-complexes in sleep EEG signals. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/177631.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hlaváčová K. Detekce K-komplexů ve spánkových signálech EEG: Detection of K-complexes in sleep EEG signals. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177631

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

20. Ambrožová, Monika. Detekce fibrilace síní v krátkodobých EKG záznamech: Detection of atrial fibrillation in short-term ECG.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177642 

► Atrial fibrillation is diagnosed in 1-2% of the population, in next decades, it expects a significant increase in the number of patients with this arrhythmia… (more)

Subjects/Keywords: Srdce; elektrokardiogram; srdeční arytmie; fibrilace síní; detekce fibrilace síní; metoda podpůrných vektorů; k-nearest neighbor; diskriminační analýza; Heart; electrocardiogram; cardiac arrhythmia; atrial fibrillation; detection of atrial fibrillation; support vector machine; k-nearest neighbor; discriminant analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ambrožová, M. (2019). Detekce fibrilace síní v krátkodobých EKG záznamech: Detection of atrial fibrillation in short-term ECG. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177642

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ambrožová, Monika. “Detekce fibrilace síní v krátkodobých EKG záznamech: Detection of atrial fibrillation in short-term ECG.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/177642.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ambrožová, Monika. “Detekce fibrilace síní v krátkodobých EKG záznamech: Detection of atrial fibrillation in short-term ECG.” 2019. Web. 07 Mar 2021.

Vancouver:

Ambrožová M. Detekce fibrilace síní v krátkodobých EKG záznamech: Detection of atrial fibrillation in short-term ECG. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/177642.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ambrožová M. Detekce fibrilace síní v krátkodobých EKG záznamech: Detection of atrial fibrillation in short-term ECG. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177642

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

21. Tyshchenko, Bohdan. Klasifikace patologických obratlů v CT snímcích páteře s využitím metod strojového učení: Detection of pathological vertebrae in spinal CTs utilised by machine learning methods.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177658 

► This master's thesis focuses on detection of pathological vertebrae in spinal CT utilized by machine learning. Theoretical part describes anatomy of the spine and occurrence… (more)

Subjects/Keywords: Neuronová síť; Klasifikace; CT data; Strojové učení; Patologie páteře; Analýza hlavních komponent; Obratel; Neural network; Classification; CT data; Machine learning; Pathologies of spine; Principal component analysis; Vertebra

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tyshchenko, B. (2019). Klasifikace patologických obratlů v CT snímcích páteře s využitím metod strojového učení: Detection of pathological vertebrae in spinal CTs utilised by machine learning methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tyshchenko, Bohdan. “Klasifikace patologických obratlů v CT snímcích páteře s využitím metod strojového učení: Detection of pathological vertebrae in spinal CTs utilised by machine learning methods.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/177658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tyshchenko, Bohdan. “Klasifikace patologických obratlů v CT snímcích páteře s využitím metod strojového učení: Detection of pathological vertebrae in spinal CTs utilised by machine learning methods.” 2019. Web. 07 Mar 2021.

Vancouver:

Tyshchenko B. Klasifikace patologických obratlů v CT snímcích páteře s využitím metod strojového učení: Detection of pathological vertebrae in spinal CTs utilised by machine learning methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/177658.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tyshchenko B. Klasifikace patologických obratlů v CT snímcích páteře s využitím metod strojového učení: Detection of pathological vertebrae in spinal CTs utilised by machine learning methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177658

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

22. Macíčková, Magda. Klasifikace vysokofrekvenčních oscilací v intrakraniálním EEG: Classification of high frequency oscillations in intracranial EEG.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177663 

► This Master’s thesis deals with investigation of high-frequency oscillations in intracranial electroencephalography in patients with pharmacoresistant epilepsy. It describes individual types of oscillations with respect… (more)

Subjects/Keywords: Epilepsie; vysokofrekvenční oscilace (HFO; vHFO); entropie; cross-frequency coupling; Epilepsy; high and very high frequency oscillations (HFO; vHFO); entropy; crossfrequency coupling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Macíčková, M. (2019). Klasifikace vysokofrekvenčních oscilací v intrakraniálním EEG: Classification of high frequency oscillations in intracranial EEG. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177663

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Macíčková, Magda. “Klasifikace vysokofrekvenčních oscilací v intrakraniálním EEG: Classification of high frequency oscillations in intracranial EEG.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/177663.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Macíčková, Magda. “Klasifikace vysokofrekvenčních oscilací v intrakraniálním EEG: Classification of high frequency oscillations in intracranial EEG.” 2019. Web. 07 Mar 2021.

Vancouver:

Macíčková M. Klasifikace vysokofrekvenčních oscilací v intrakraniálním EEG: Classification of high frequency oscillations in intracranial EEG. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/177663.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Macíčková M. Klasifikace vysokofrekvenčních oscilací v intrakraniálním EEG: Classification of high frequency oscillations in intracranial EEG. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177663

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

23. Schwanzer, Miroslav. Automatická klasifikace spánkových fází: Automatic sleep scoring.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177691 

► This master thesis deals with classification of sleep stages on the base of polysomnographic signals. On several signals was performed analysis and feature extraxtion in… (more)

Subjects/Keywords: Elektroencefalografie (EEG); Výkonová spektrální hustota (PSD); Umělá neuronová síť; Polysomnografie (PSG); Automatická klasifikace; klasifikátor K-NN; klasifikátor SVM.; Electroencephalography (EEG); Power spectral density (PSD); Artifical neural network; Polysomnography (PSG); Automatical classification; K-NN classificator; SVM classificator.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Schwanzer, M. (2019). Automatická klasifikace spánkových fází: Automatic sleep scoring. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177691

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schwanzer, Miroslav. “Automatická klasifikace spánkových fází: Automatic sleep scoring.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/177691.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schwanzer, Miroslav. “Automatická klasifikace spánkových fází: Automatic sleep scoring.” 2019. Web. 07 Mar 2021.

Vancouver:

Schwanzer M. Automatická klasifikace spánkových fází: Automatic sleep scoring. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/177691.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schwanzer M. Automatická klasifikace spánkových fází: Automatic sleep scoring. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177691

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

24. Lokaj, Jiří. Hodnocení vztahu mezi kardiovaskulárními signály pomocí nelineárních metod: Analysis of interaction between cardiovascular signals using non-linear methods.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/177816 

► The short-term regulation of blood pressure is influenced by many influences, some being represented by cardiovascular signals and their changes. Because of the complexity of… (more)

Subjects/Keywords: Kardiovaskulární signály; entropie; podmíněná entropie; nelineární vztahy; Cardio-vascular signals; entropy; conditional entropy; nonlinear relationship

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lokaj, J. (2019). Hodnocení vztahu mezi kardiovaskulárními signály pomocí nelineárních metod: Analysis of interaction between cardiovascular signals using non-linear methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/177816

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lokaj, Jiří. “Hodnocení vztahu mezi kardiovaskulárními signály pomocí nelineárních metod: Analysis of interaction between cardiovascular signals using non-linear methods.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/177816.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lokaj, Jiří. “Hodnocení vztahu mezi kardiovaskulárními signály pomocí nelineárních metod: Analysis of interaction between cardiovascular signals using non-linear methods.” 2019. Web. 07 Mar 2021.

Vancouver:

Lokaj J. Hodnocení vztahu mezi kardiovaskulárními signály pomocí nelineárních metod: Analysis of interaction between cardiovascular signals using non-linear methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/177816.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lokaj J. Hodnocení vztahu mezi kardiovaskulárními signály pomocí nelineárních metod: Analysis of interaction between cardiovascular signals using non-linear methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/177816

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

25. Plch, Vít. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/180554 

► This diploma thesis deals with detection of atrial fibrillation from HRV, classification of Poincare map and in the end the divide into two groups, one… (more)

Subjects/Keywords: Detekce síňové fibrilace; AF; RR Tachograf; Poincarého graf; Neuronová síť; SD 1; SD 2; R-R entropie; VAI; ROC; AUC; Detection of atrial fibrillation; FIS; RR Tachograph; Poincare plot; Neural networks; SD1; SD2; R-R entropy; VAI; ROC; AUC

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Plch, V. (2019). Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180554

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Plch, Vít. “Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/180554.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Plch, Vít. “Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection.” 2019. Web. 07 Mar 2021.

Vancouver:

Plch V. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/180554.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Plch V. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180554

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

26. Hastík, Matěj. Detekce spánkové apnoe: Sleep apnea detection.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/38946 

► This master‘s thesis deals with a detailed description of sleep apnea and methods of detection of sleep apnea. The first part of the work is… (more)

Subjects/Keywords: Spánková apnoe; detekce; polysomnografie; Matlab; Sleep apnea; detection; polysomnography; Matlab

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hastík, M. (2019). Detekce spánkové apnoe: Sleep apnea detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38946

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hastík, Matěj. “Detekce spánkové apnoe: Sleep apnea detection.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/38946.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hastík, Matěj. “Detekce spánkové apnoe: Sleep apnea detection.” 2019. Web. 07 Mar 2021.

Vancouver:

Hastík M. Detekce spánkové apnoe: Sleep apnea detection. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/38946.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hastík M. Detekce spánkové apnoe: Sleep apnea detection. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/38946

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

27. Doležalová, Radka. Hodnocení míry mentální zátěže za použití mozkové konektivity: Classification of mental workload using brain connectivity measure.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/42799 

► This thesis deals with possibilities of using EEG connectivity measures for automatic classification of mental workload levels. The theoretical principles of EEG recording and different… (more)

Subjects/Keywords: EEG; klasifikace mentální zátěže; měření mozkové konektivity; korelace; kovariance; koherence; míra fázové soudržnosti.; EEG; automatic classification of mental workload; brain connectivity measure; cross-correlation; covariance; coherence; phase locking value.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Doležalová, R. (2019). Hodnocení míry mentální zátěže za použití mozkové konektivity: Classification of mental workload using brain connectivity measure. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/42799

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Doležalová, Radka. “Hodnocení míry mentální zátěže za použití mozkové konektivity: Classification of mental workload using brain connectivity measure.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/42799.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Doležalová, Radka. “Hodnocení míry mentální zátěže za použití mozkové konektivity: Classification of mental workload using brain connectivity measure.” 2019. Web. 07 Mar 2021.

Vancouver:

Doležalová R. Hodnocení míry mentální zátěže za použití mozkové konektivity: Classification of mental workload using brain connectivity measure. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/42799.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Doležalová R. Hodnocení míry mentální zátěže za použití mozkové konektivity: Classification of mental workload using brain connectivity measure. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/42799

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

28. Noremberczyk, Adam. Automatická detekce ischemie v EKG: Automatic detection of ischemia in ECG.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/59751 

► This thesis discusses the utilization of the artificial neural networks (ANN) for detection of coronary artery disease (CAD) in frequency area. The first part of… (more)

Subjects/Keywords: Umělá neuronová síť; ischemická choroba srdeční; ISCH; infarkt myokardu; IM; EKG; elektrokardiogram; změny na EKG; frekvenční parametry; FFT; Fourierova transformace; UNS; gradient; moment; metoda zpětného šíření; Neural Network Toolbox; Matlab; detektor; klasifikace; perceptron; přenosová funkce; neuron.; Artificial neural network; coronary artery disease; CAD; myocardial infarction; MI; ECG; electrocardiogram; ECG changes; frequency parameters; FFT; Fourier transform; ANN; gradient; moment; backpropagation method; Neural Network Toolbox; Matlab; detector; classification; perceptron; transfer function; neuron.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Noremberczyk, A. (2019). Automatická detekce ischemie v EKG: Automatic detection of ischemia in ECG. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/59751

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Noremberczyk, Adam. “Automatická detekce ischemie v EKG: Automatic detection of ischemia in ECG.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/59751.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Noremberczyk, Adam. “Automatická detekce ischemie v EKG: Automatic detection of ischemia in ECG.” 2019. Web. 07 Mar 2021.

Vancouver:

Noremberczyk A. Automatická detekce ischemie v EKG: Automatic detection of ischemia in ECG. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/59751.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Noremberczyk A. Automatická detekce ischemie v EKG: Automatic detection of ischemia in ECG. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/59751

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

29. Pecníková, Michaela. Automatická detekce K-komplexů ve spánkových signálech EEG: Automatic detection of K-complexes in sleep EEG signals.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/59865 

► This paper addresses the problem of detecting K-complexes in sleep EEG. The study of sleep has become very essential to diagnose the brain disorders and… (more)

Subjects/Keywords: Elektroencefalografie(EEG); Polysomnografie(PSG); spánkové grafoelementy; Kkomplex; vlnková transformace; TKEO; umělá neuronová síť; MATLAB; Electroencephalography(EEG); Polysomnography(PSG); sleeping graphoelements; Kcomplex; wavelet transform; TKEO; artificial neural network; MATLAB

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pecníková, M. (2019). Automatická detekce K-komplexů ve spánkových signálech EEG: Automatic detection of K-complexes in sleep EEG signals. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/59865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pecníková, Michaela. “Automatická detekce K-komplexů ve spánkových signálech EEG: Automatic detection of K-complexes in sleep EEG signals.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/59865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pecníková, Michaela. “Automatická detekce K-komplexů ve spánkových signálech EEG: Automatic detection of K-complexes in sleep EEG signals.” 2019. Web. 07 Mar 2021.

Vancouver:

Pecníková M. Automatická detekce K-komplexů ve spánkových signálech EEG: Automatic detection of K-complexes in sleep EEG signals. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/59865.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pecníková M. Automatická detekce K-komplexů ve spánkových signálech EEG: Automatic detection of K-complexes in sleep EEG signals. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/59865

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

30. Fajmon, František. Akviziční systém pro snímání elektrogramu: The acquisition system for electrogram recording.

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/65438 

► This thesis deals with acquisition and wireless transmission of EKG from isolated heart. Basic of heart anatomy and physiology are discussed in thesis. Practical part… (more)

Subjects/Keywords: Elektrokardiografie; Arduino; Bluetooth; detekce R vlny; Electrocardiography; Arduino; Bluetooth; R wave detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fajmon, F. (2019). Akviziční systém pro snímání elektrogramu: The acquisition system for electrogram recording. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/65438

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fajmon, František. “Akviziční systém pro snímání elektrogramu: The acquisition system for electrogram recording.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021. http://hdl.handle.net/11012/65438.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fajmon, František. “Akviziční systém pro snímání elektrogramu: The acquisition system for electrogram recording.” 2019. Web. 07 Mar 2021.

Vancouver:

Fajmon F. Akviziční systém pro snímání elektrogramu: The acquisition system for electrogram recording. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11012/65438.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fajmon F. Akviziční systém pro snímání elektrogramu: The acquisition system for electrogram recording. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/65438

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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