Distributed Source Coding for Real-Time ECG Signal Monitoring

Hung-Tsai WU; Wei-Ying TSAI; Wen-Whei CHANG

doi:10.1587/transinf.E97.D.2157

Distributed Source Coding for Real-Time ECG Signal Monitoring

Hung-Tsai WU, Wei-Ying TSAI, Wen-Whei CHANG

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Wireless patient monitoring is an active research area with the goal of ubiquitous health care services. This study presents a novel means of exploiting the distributed source coding (DSC) in low-complexity compression of ECG signals. We first convert the ECG data compression to an equivalent channel coding problem and exploit a linear channel code for the DSC construction. Performance is further enhanced by the use of a correlation channel that more precisely characterizes the statistical dependencies of ECG signals. Also proposed is a modified BCJR algorithm which performs symbol decoding of binary convolutional codes to better exploit the source's a priori information. Finally, a complete setup system for online ambulatory ECG monitoring via mobile cellular networks is presented. Experiments on the MIT-BIH arrhythmia database and real-time acquired ECG signals demonstrate that the proposed system outperforms other schemes in terms of encoder complexity and coding efficiency.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.8 pp.2157-2165

Publication Date: 2014/08/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.2157

Type of Manuscript: PAPER

Category: Biological Engineering

Authors

Hung-Tsai WU
  National Chiao-Tung University
Wei-Ying TSAI
  Garmin Corporation
Wen-Whei CHANG
  National Chiao-Tung University

Keyword

wireless patient monitoring, distributed source coding, ECG data compression, mobile cellular networks

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Hung-Tsai WU, Wei-Ying TSAI, Wen-Whei CHANG, "Distributed Source Coding for Real-Time ECG Signal Monitoring" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 8, pp. 2157-2165, August 2014, doi: 10.1587/transinf.E97.D.2157.
Abstract: Wireless patient monitoring is an active research area with the goal of ubiquitous health care services. This study presents a novel means of exploiting the distributed source coding (DSC) in low-complexity compression of ECG signals. We first convert the ECG data compression to an equivalent channel coding problem and exploit a linear channel code for the DSC construction. Performance is further enhanced by the use of a correlation channel that more precisely characterizes the statistical dependencies of ECG signals. Also proposed is a modified BCJR algorithm which performs symbol decoding of binary convolutional codes to better exploit the source's a priori information. Finally, a complete setup system for online ambulatory ECG monitoring via mobile cellular networks is presented. Experiments on the MIT-BIH arrhythmia database and real-time acquired ECG signals demonstrate that the proposed system outperforms other schemes in terms of encoder complexity and coding efficiency.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E97.D.2157/_p

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@ARTICLE{e97-d_8_2157,
author={Hung-Tsai WU, Wei-Ying TSAI, Wen-Whei CHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Distributed Source Coding for Real-Time ECG Signal Monitoring},
year={2014},
volume={E97-D},
number={8},
pages={2157-2165},
abstract={Wireless patient monitoring is an active research area with the goal of ubiquitous health care services. This study presents a novel means of exploiting the distributed source coding (DSC) in low-complexity compression of ECG signals. We first convert the ECG data compression to an equivalent channel coding problem and exploit a linear channel code for the DSC construction. Performance is further enhanced by the use of a correlation channel that more precisely characterizes the statistical dependencies of ECG signals. Also proposed is a modified BCJR algorithm which performs symbol decoding of binary convolutional codes to better exploit the source's a priori information. Finally, a complete setup system for online ambulatory ECG monitoring via mobile cellular networks is presented. Experiments on the MIT-BIH arrhythmia database and real-time acquired ECG signals demonstrate that the proposed system outperforms other schemes in terms of encoder complexity and coding efficiency.},
keywords={},
doi={10.1587/transinf.E97.D.2157},
ISSN={1745-1361},
month={August},}

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TY - JOUR
TI - Distributed Source Coding for Real-Time ECG Signal Monitoring
T2 - IEICE TRANSACTIONS on Information
SP - 2157
EP - 2165
AU - Hung-Tsai WU
AU - Wei-Ying TSAI
AU - Wen-Whei CHANG
PY - 2014
DO - 10.1587/transinf.E97.D.2157
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2014
AB - Wireless patient monitoring is an active research area with the goal of ubiquitous health care services. This study presents a novel means of exploiting the distributed source coding (DSC) in low-complexity compression of ECG signals. We first convert the ECG data compression to an equivalent channel coding problem and exploit a linear channel code for the DSC construction. Performance is further enhanced by the use of a correlation channel that more precisely characterizes the statistical dependencies of ECG signals. Also proposed is a modified BCJR algorithm which performs symbol decoding of binary convolutional codes to better exploit the source's a priori information. Finally, a complete setup system for online ambulatory ECG monitoring via mobile cellular networks is presented. Experiments on the MIT-BIH arrhythmia database and real-time acquired ECG signals demonstrate that the proposed system outperforms other schemes in terms of encoder complexity and coding efficiency.
ER -