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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
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
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 (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
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
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
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 Details
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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
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
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
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
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
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
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 Details
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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
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
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
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
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
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
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
Subjects/Keywords: Atriálne fibrilácie; elektrokardiografia; R hrot; krátkodobé RR intervaly; špecificita; senzitivita.; Atrial fibrillation; electrocardiography; R peak; short term RR intervals; specificity; sensitivity.
Record Details
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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
Subjects/Keywords: K-komplex; grafoelement; Elektroencefalografie (EEG); Stockwellova transformace; pásmová propust; TKEO; K-complex; grafoelement; Electroencephalography (EEG); Stockwell transform; bandpass; TKEO
Record Details
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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
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 Details
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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
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 Details
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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
Subjects/Keywords: Epilepsie; vysokofrekvenční oscilace (HFO; vHFO); entropie; cross-frequency coupling; Epilepsy; high and very high frequency oscillations (HFO; vHFO); entropy; crossfrequency coupling
Record Details
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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
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 Details
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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
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
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
Subjects/Keywords: Spánková apnoe; detekce; polysomnografie; Matlab; Sleep apnea; detection; polysomnography; Matlab
Record Details
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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
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
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 Details
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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
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 Details
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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
Subjects/Keywords: Elektrokardiografie; Arduino; Bluetooth; detekce R vlny; Electrocardiography; Arduino; Bluetooth; R wave detection
Record Details
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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