Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

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

[1] [2] [3] [4]

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Brno University of Technology

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

Degree: 2020, Brno University of Technology

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

[1] [2] [3] [4]

.