Effective compression and classification of ECG arrhythmia by singular value decomposition

Effective compression and classification of ECG arrhythmia by singular value decomposition

Electrocardiogram (ECG) monitoring systems are widely applied to tele-cardiology healthcare programs nowadays, where ECG signals should always be compressed first during its transmission and storage. Previous studies attempted to achieve high quality decompressed signal with compression ratio as hig...

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Bibliographic Details
Main Authors:	Lijuan Zheng, Zihan Wang, Junqiang Liang, Shifan Luo, Senping Tian
Format:	Article
Language:	English
Published:	Elsevier 2021-12-01
Series:	Biomedical Engineering Advances
Subjects:	ECG arrhythmia Supporting vector machine Convolutional neural network Singular value decomposition
Online Access:	http://www.sciencedirect.com/science/article/pii/S266709922100013X

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