Multi-lead model-based ECG signal denoising by guided filter

The electrocardiogram (ECG) denoising is of paramount importance for accurate disease diagnosis, but individual differences bring great difficulties for ECG denoising, especially for Dynamic Electrocardiography (DCG). In this paper, a multi-lead model-based ECG signal denoising method is proposed, i...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 79; pp. 34 - 44
Main Authors:	Hao, Huaqing, Liu, Ming, Xiong, Peng, Du, Haiman, Zhang, Hong, Lin, Feng, Hou, Zengguang, Liu, Xiuling
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2019
Subjects:	Electrocardiograph (ECG) denoising Guided filter Multi-lead model-based ECG signal Sparse autoencoder 99-00 Electrocardiograph (ECG) denoising Multi-lead model-based ECG signal Guided filter Sparse autoencoder 00-01
ISSN:	0952-1976, 1873-6769
Online Access:	Get full text
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