Compressed Sensing for Wireless Pulse Wave Signal Acquisition

被引：0

作者：

Luo, Kan ^{[1
]}

Wu, Jianfeng ^{[1
]}

Li, Jianqing ^{[1
]}

Yang, Hua ^{[1
]}

Cai, Zhipeng ^{[1
]}

机构：

[1] Southeast Univ, Sch Instrument Sci & Engn, Nanjing 210096, Jiangsu, Peoples R China

来源：

2013 SEVENTH INTERNATIONAL CONFERENCE ON SENSING TECHNOLOGY (ICST) | 2013年

关键词：

compressed sensing (CS); Pulse wave(PW) signal; health care; wireless biosensor; low-power; ECG; RECOVERY; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wireless-enable pulse wave (PW) biosensor is generally used for pervasive and non-invasive health care monitoring. However, the energy efficiency of the present devices still needs to be improved due to the high energy consumption during wireless communication. In this paper, a compressed sensing (CS) scheme for wireless PW signal acquisition is proposed. With the CS-based scheme, airtime over energy-hungry wireless links can be reduced and energy efficiency of the wireless biosensor can be improved. PW signal is sparse under the discrete cosine transform (DCT) basis. Therefore, the CS-based scheme can efficiently compress and recover the signal by the 1-bit sparse quasi-Toeplitz measurement matrix and the basis pursuit de-noising (BPDN) model. The efficiency improvement of node was evidenced by the practical experiments on a MICAz node. By using the proposed scheme, the average percentage root-mean-square difference (PRD) of 4.23%, energy saving of 35.15% and node prolonging of 54.20% can be achieved.

引用

页码：345 / 350

页数：6

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