A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals

Qun Wang; Zhiwen Liu

doi:10.1109/BMEI.2011.6098418

A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals

Qun Wang^*, Zhiwen Liu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages	607-611
Number of pages	5
DOIs	https://doi.org/10.1109/BMEI.2011.6098418
Publication status	Published - 2011
Event	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China Duration: 15 Oct 2011 → 17 Oct 2011

Publication series

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

Conference

Conference	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Country/Territory	China
City	Shanghai
Period	15/10/11 → 17/10/11

Keywords

Distributed compressed sensing
regularized orthogonal matching pursuit
sparsity adaptive

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10.1109/BMEI.2011.6098418

Cite this

Wang, Q., & Liu, Z. (2011). A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 (pp. 607-611). Article 6098418 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 2). https://doi.org/10.1109/BMEI.2011.6098418

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title = "A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals",

abstract = "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.",

keywords = "Distributed compressed sensing, regularized orthogonal matching pursuit, sparsity adaptive",

author = "Qun Wang and Zhiwen Liu",

year = "2011",

doi = "10.1109/BMEI.2011.6098418",

language = "English",

isbn = "9781424493524",

series = "Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011",

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booktitle = "Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011",

note = "2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 ; Conference date: 15-10-2011 Through 17-10-2011",

}

Wang, Q & Liu, Z 2011, A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals. in Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011., 6098418, Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, vol. 2, pp. 607-611, 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, 15/10/11. https://doi.org/10.1109/BMEI.2011.6098418

A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals. / Wang, Qun; Liu, Zhiwen.
Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 607-611 6098418 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - sparsity adaptive

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

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Wang Q, Liu Z. A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 607-611. 6098418. (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011). doi: 10.1109/BMEI.2011.6098418

A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals

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