Title
Heartbeats Classification Using Hybrid Time-Frequency Analysis and Transfer Learning Based on ResNet
Abstract
The classification of heartbeats is an important method for cardiac arrhythmia analysis. This study proposes a novel heartbeat classification method using hybrid time-frequency analysis and transfer learning based on ResNet-101. The proposed method has the following major advantages over the afore-mentioned methods: it avoids the need for manual features extraction in the traditional machine learn...
Year
DOI
Venue
2021
10.1109/JBHI.2021.3085318
IEEE Journal of Biomedical and Health Informatics
Keywords
DocType
Volume
Electrocardiography,Heart beat,Time-frequency analysis,Feature extraction,Transforms,Databases,Heart rate variability
Journal
25
Issue
ISSN
Citations 
11
2168-2194
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yatao Zhang101.01
Junyan Li200.34
Shoushui Wei3239.45
Fengyu Zhou411.02
Dong Li500.34