Deep Convolutional Neural Network Model For Classification Of Atrial Fibrillation
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Date
2020
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
Atrial fibrillation is a very common heart pathology, which is usually detected from electrocardiogram (ECG). This article presents recognition of atrial fibrillation in ECG using deep convolutional neural network. Data used for training the network includes physiological ECG, atrial fibrillation and nine other pathologies. The detection is performed by algorithm in Python language and is being assessed by accuracy and F1 measure.
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Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 208-211. ISBN 978-80-214-5867-3
https://conf.feec.vutbr.cz/eeict/EEICT2020
https://conf.feec.vutbr.cz/eeict/EEICT2020
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cs
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií