Browsing by Author "Tsai, Wei-Ying"

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Distributed Source Coding for Mobile ECG Signal Monitoring
(2012-01-01)
Wu, Hung-Tsai
;
Tsai, Wei-Ying
;
Chang, Wen-Whei
;
電信工程研究所
;
Institute of Communications Engineering
This paper describes the design and implementation of an ECG signal monitoring system that is compatible with existing mobile telecommunications networks. First, a two-dimensional ECG signal compression scheme is presented using the distributed source coding (DSC). Also proposed is a modified BCJR algorithm which further enhances the DSC decoding by exploiting the symbol-level a priori information. Finally, we implement a novel integrated system comprising a mobile telephone, with sensors for patient monitoring, and a remote receiver linked by cellular networks. The system, when fully developed, will become powerful aids to monitoring a patient for mobile telemedicine and for emergency situations.
Distributed Source Coding for Real-Time ECG Signal Monitoring
(2014-08-01)
Wu, Hung-Tsai
;
Tsai, Wei-Ying
;
Chang, Wen-Whei
;
電信工程研究所
;
Institute of Communications Engineering
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.