Title: Compressed sensing-based method for electrocardiogram monitoring on wireless body sensor using binary matrix

Authors: Ren Ren; Xianxiang Chen; Xinyu Hu; Yu Wang; Shanhong Xia

Addresses: State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China ' State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China ' State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China ' State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China ' State Key Laboratory of Transducer Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, China

Abstract: Reducing the amount of wireless transmission data is beneficial for energy efficiency and lifetime of Wireless Body Sensor Networks (WBSN). Compressed Sensing (CS) approach can be applied to Electrocardiogram (ECG) data compression with its low execution complexity in node end. However, sensor node is often resource-constrained which means reduced memory space for measurement matrix storage. This paper presents a compressed sensing based method for real-time multi-node ECG monitoring. A minimum 512 bytes binary random measurement matrix is designed which is very suitable for resource constrained WBSN sensor node. Result of R-point extraction indicates that heart beat rate can be precisely derived from recovered signal. Finally, real-time measurement based on compressed sensing is accomplished by using the ECG node we developed. Simulation and experiment show that the proposed method of compressed sensing with measurement matrix can fulfil the requirements of WBSN enabled ECG node both in reconstruction quality and reconstruction time.

Keywords: electrocardiograms; ECG monitoring; wireless body sensors; compressed sensing; measurement matrix; wireless sensor networks; WSNs; data compression; heart rate; simulation.

DOI: 10.1504/IJWMC.2015.068623

International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.2, pp.114 - 121

Received: 21 Jul 2014
Accepted: 26 Aug 2014

Published online: 28 Mar 2015 *

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