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dc.contributor.authorWu, Hung-Tsaien_US
dc.contributor.authorTsai, Wei-Yingen_US
dc.contributor.authorChang, Wen-Wheien_US
dc.date.accessioned2019-04-03T06:40:50Z-
dc.date.available2019-04-03T06:40:50Z-
dc.date.issued2014-08-01en_US
dc.identifier.issn1745-1361en_US
dc.identifier.urihttp://dx.doi.org/10.1587/transinf.E97.D.2157en_US
dc.identifier.urihttp://hdl.handle.net/11536/25393-
dc.description.abstractWireless 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.en_US
dc.language.isoen_USen_US
dc.subjectwireless patient monitoringen_US
dc.subjectdistributed source codingen_US
dc.subjectEGG data compressionen_US
dc.subjectmobile cellular networksen_US
dc.titleDistributed Source Coding for Real-Time ECG Signal Monitoringen_US
dc.typeArticleen_US
dc.identifier.doi10.1587/transinf.E97.D.2157en_US
dc.identifier.journalIEICE TRANSACTIONS ON INFORMATION AND SYSTEMSen_US
dc.citation.volumeE97Den_US
dc.citation.issue8en_US
dc.citation.spage2157en_US
dc.citation.epage2165en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000342784500026en_US
dc.citation.woscount0en_US
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