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dc.contributor.authorWu, Hung-Tsaien_US
dc.contributor.authorWu, Yi-Tingen_US
dc.contributor.authorChang, Wen-Wheien_US
dc.date.accessioned2019-04-03T06:36:16Z-
dc.date.available2019-04-03T06:36:16Z-
dc.date.issued2015-10-01en_US
dc.identifier.issn1745-1361en_US
dc.identifier.urihttp://dx.doi.org/10.1587/transinf.2015EDP7035en_US
dc.identifier.urihttp://hdl.handle.net/11536/129427-
dc.description.abstractIn wireless telecardiology applications, electrocardiogram (ECG) signals are often represented in compressed format for efficient transmission and storage purposes. Incorporation of compressed ECG based biometric enables faster person identification as it by-passes the full decompression. This study presents a new method to combine ECG biometrics with data compression within a common JPEG2000 framework. To this end, an ECG signal is considered as an image and the JPEG2000 standard is applied for data compression. Features relating to ECG morphology and heartbeat intervals are computed directly from the compressed ECG. Different classification approaches are used for person identification. Experiments on standard ECG databases demonstrate the validity of the proposed system for biometric identification with high accuracies on both healthy and diseased subjects.en_US
dc.language.isoen_USen_US
dc.subjectECG biometricen_US
dc.subjectperson identificationen_US
dc.subjectJPEG2000en_US
dc.titleBiometric Identification Using JPEG2000 Compressed ECG Signalsen_US
dc.typeArticleen_US
dc.identifier.doi10.1587/transinf.2015EDP7035en_US
dc.identifier.journalIEICE TRANSACTIONS ON INFORMATION AND SYSTEMSen_US
dc.citation.volumeE98Den_US
dc.citation.issue10en_US
dc.citation.spage1829en_US
dc.citation.epage1837en_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.identifier.wosnumberWOS:000364422400011en_US
dc.citation.woscount1en_US
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