Deep Learning Framework with ECG Feature-Based Kernels for Heart Disease Classification

Heart disease classification with high accuracy can support the physician’s correct decision on patients. This paper proposes a kernel size calculation based on P, Q, R, and S waves of one heartbeat to enhance classification accuracy in a deep learning framework. In addition, Electrocardiogram (ECG)...

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Veröffentlicht in:	Elektronika ir elektrotechnika 2021-02, Vol.27 (1), p.48-59
Hauptverfasser:	Nguyen, Thanh-Nghia, Nguyen, Thanh-Hai
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Arrhythmia Cable television broadcasting industry Electrocardiogram Electrocardiography Heart beat Neural networks
Online-Zugang:	Volltext
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