Research on electrocardiogram classification using deep residual network with pyramid convolution structure

Recently, deep neural networks (DNNs) have been widely used in the field of electrocardiogram (ECG) signal classification, but the previous models have limited ability to extract features from raw ECG data. In this paper, a deep residual network model based on pyramidal convolutional layers (PC-DRN)...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sheng wu yi xue gong cheng xue za zhi 2020-08, Vol.37 (4), p.692-698
Hauptverfasser:	Jiang, Mingfeng, Lu, Yi, Li, Yang, Xiang, Yikun, Zhang, Jucheng, Wang, Zhikang
Format:	Artikel
Sprache:	chi
Schlagworte:	Arrhythmia Arrhythmias, Cardiac Artificial neural networks Cardiac arrhythmia Cardiology Classification Convolution Disease Progression EKG Electrocardiography Feature extraction Humans Neural networks Neural Networks, Computer Signal classification
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!