DSCSSA: A Classification Framework for Spatiotemporal Features Extraction of Arrhythmia Based on the Seq2Seq Model With Attention Mechanism
Author:
Affiliation:
1. School of Software and Internet of Things Engineering, Jiangxi University of Finance and Economics, Nanchang, China
2. Department of Information Systems, Dalarna University, Falun, Sweden
Funder
Science and Technology Project of Jiangxi Education Department
Natural Science Foundation Project of Jiangxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/9717300/09844775.pdf?arnumber=9844775
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3. A Multitier Deep Learning Model for Arrhythmia Detection
4. LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
5. Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats
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