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Brno University of Technology

1. 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 of atrial fibrillation is reported at 2-4 % of the population, but due to the often asymptomatic course, the real prevalence is even higher. The aim of this work is to design an algorithm for automatic detection of atrial fibrillation in the ECG record. In the practical part of this work, an algorithm for the detection of atrial fibrillation is proposed. For the detection itself, the k-nearest neighbor method, the support vector method and the multilayer neural network were used to classify ECG signals using features indicating the variability of RR intervals and the presence of the P wave in the ECG recordings. The best detection was achieved by a model using a multilayer neural network classification with two hidden layers. Results of success indicators: Sensitivity 91.23 %, Specificity 99.20 %, PPV 91.23 %, F-measure 91.23 % and Accuracy 98.53 %. Advisors/Committee Members: Ronzhina, Marina (advisor), Kolářová, Jana (referee).

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 (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 August 11, 2020. 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. 11 Aug 2020.

Vancouver:

Prokopová I. Detekce fibrilace síní v EKG: ECG based atrial fibrillation detection. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Aug 11]. 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

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