CardioLike-Net: An edge-end inter-patient arrhythmia classifier with quantization-aware-training for wearable ECG applications

Wearable electrocardiogram monitors equipped with edge-end classifier is a transformative tool for managing cardiovascular diseases. Whereas, electrocardiogram pattern variations have posed difficulties in obtaining robust accuracy among different individuals. To address this issue, this paper propo...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 112; p. 108604
Main Authors:	Xu, Xinzi, Suo, Yanxing, Cai, Qiao, Zhang, Yunfang, Chen, Qinyu, Gao, Chang, Wang, Guoxing, Zhao, Yang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Convolutional neural network Field-programmable gate array implementation Inter-patient arrhythmia classifier Long short-term memory Quantization-aware-training Wearable electrocardiogram applications Inter-patient arrhythmia classifier Long short-term memory Quantization-aware-training Field-programmable gate array implementation Convolutional neural network Wearable electrocardiogram applications
ISSN:	1746-8094
Online Access:	Get full text
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