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dc.contributor.authorWang, Hui-Minen_US
dc.contributor.authorLai, You-Liangen_US
dc.contributor.authorHou, Mark C.en_US
dc.contributor.authorLin, Shih-Hsiangen_US
dc.contributor.authorYen, Brad S.en_US
dc.contributor.authorHuang, Yu-Chiehen_US
dc.contributor.authorChou, Lei-Chunen_US
dc.contributor.authorHsu, Shao-Youen_US
dc.contributor.authorHuang, Sheng-Chiehen_US
dc.contributor.authorJan, Ming-Yieen_US
dc.date.accessioned2014-12-08T15:38:30Z-
dc.date.available2014-12-08T15:38:30Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-5309-2en_US
dc.identifier.issn0271-4302en_US
dc.identifier.urihttp://hdl.handle.net/11536/26354-
dc.description.abstractHealthcare issues arose from population aging. Meanwhile, electrocardiogram (ECG) is a powerful measurement tool. The first step of ECG is to detect QRS complexes. A state-of-the-art QRS detection algorithm was modified and implemented. By the dedicated architecture design, the novel ASIC is proposed with 2.21 mu W power consumption and 0.68mm(2) core area. It is the smallest QRS detection ASIC so far in the world. In addition, the positive prediction of the ASIC is 99.36% based on the MIT/BIH arrhythmia database certification.en_US
dc.language.isoen_USen_US
dc.titleA +/- 6ms-Accuracy, 0.68mm(2) and 2.21 mu W QRS Detection ASICen_US
dc.typeArticleen_US
dc.identifier.journal2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMSen_US
dc.citation.spage1372en_US
dc.citation.epage1375en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000287216001150-
Appears in Collections:Conferences Paper