A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals

Qun Wang*, Zhiwen Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

In this paper we propose a novel algorithm for Distributed Compressed Sensing (DCS) problem, referred as Regularized Sparsity Adaptive Matching Pursuit (RSAMP), which is a modified version of Regularized Orthogonal Matching Pursuit (ROMP) method. It can provide a fast runtime and reconstruct several input signals simultaneously without prior information of their sparseness. This makes it as a promising candidate for many practical applications, such as Telecardiology Sensor Network (TSN). Numerical experiments are performed to demonstrate the validity and high performance of the proposed algorithm for multichannel Electrocardiography (ECG) signals joint acquisition and reconstruction.

源语言英语
主期刊名Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
607-611
页数5
DOI
出版状态已出版 - 2011
活动2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, 中国
期限: 15 10月 201117 10月 2011

出版系列

姓名Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
2

会议

会议2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
国家/地区中国
Shanghai
时期15/10/1117/10/11

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