An Energy-Efficient ECG Processor With Weak-Strong Hybrid Classifier for Arrhythmia Detection-Reference-Cited by-同舟云学术

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An Energy-Efficient ECG Processor With Weak-Strong Hybrid Classifier for Arrhythmia Detection

Published:2018-07 Issue:7 Volume:65 Page:948-952
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Chen Zhijian,Luo Jiahui^ORCID,Lin Kaiwen,Wu Jiaquan,Zhu Taotao,Xiang Xiaoyan^ORCID,Meng Jianyi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/8396242/08023766.pdf?arnumber=8023766

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Low-Power Co-Processor to Predict Ventricular Arrhythmia for Wearable Healthcare Devices;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-09

2. A 36-nW Electrocardiogram Anomaly Detector Based on a 1.5-bit Non-Feedback Delta Quantizer for Always-on Cardiac Monitoring;IEEE Transactions on Biomedical Circuits and Systems;2024-06

3. False alarm detection in intensive care unit for monitoring arrhythmia condition using bio-signals;Data Technologies and Applications;2024-02-13

4. An Energy-Efficient ECG Processor Based on HDWT and a Hybrid Classifier for Arrhythmia Detection;Applied Sciences;2023-12-29

5. Design of hardware-efficient PVC recognition and classification system for early detection of sudden cardiac arrests;AEU - International Journal of Electronics and Communications;2023-12

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