A Novel Distributed Compressed Sensing Algorithm For Multichannel Electrocardiography Signals

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.

关键词： Distributed compressed sensing sparsity adaptive regularized orthogonal matching pursuit

作者: Qun Wang ZhiWen Liu

作者单位: Department of Electronic Engineering,Beijing Institute of Technology Beijing, 100081, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 605-609

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）