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dc.contributor.authorChang, Po-Yaoen_US
dc.contributor.authorHsu, Shu-Yuen_US
dc.contributor.authorLee, Chen-Yien_US
dc.date.accessioned2014-12-08T15:30:05Z-
dc.date.available2014-12-08T15:30:05Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-2293-5en_US
dc.identifier.issn2163-4025en_US
dc.identifier.urihttp://hdl.handle.net/11536/21550-
dc.description.abstractThis work presents a low power ECG delineator based on the dyadic wavelet transform. The delineator detects the five most significant ECG fiducial points (P, QRS(on), R, QRS(end), and T waves) for the advanced signal analysis. The detection result is evaluated on two annotated databases including MIT-BIH arrhythmia database and QT database. The obtained sensitivity and positive predictivity are over 99.4% and 96.1% for the five ECG features, respectively. Implemented using UMC 90nm technology with 0.5V supply voltage scaling, duty-cycled operation and power gating technique, the average power dissipation of the delineator is 4.88 mu W for real-time ECG monitoring.en_US
dc.language.isoen_USen_US
dc.titleA 4.88 mu W ECG Delineator Using Wavelet Transform for Mobile Healthcare Applicationen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): INTELLIGENT BIOMEDICAL ELECTRONICS AND SYSTEM FOR BETTER LIFE AND BETTER ENVIRONMENTen_US
dc.citation.spage376en_US
dc.citation.epage379en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000316563200109-
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