Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Hui-Min | en_US |
dc.contributor.author | Lai, You-Liang | en_US |
dc.contributor.author | Hou, Mark C. | en_US |
dc.contributor.author | Lin, Shih-Hsiang | en_US |
dc.contributor.author | Yen, Brad S. | en_US |
dc.contributor.author | Huang, Yu-Chieh | en_US |
dc.contributor.author | Chou, Lei-Chun | en_US |
dc.contributor.author | Hsu, Shao-You | en_US |
dc.contributor.author | Huang, Sheng-Chieh | en_US |
dc.contributor.author | Jan, Ming-Yie | en_US |
dc.date.accessioned | 2014-12-08T15:38:30Z | - |
dc.date.available | 2014-12-08T15:38:30Z | - |
dc.date.issued | 2010 | en_US |
dc.identifier.isbn | 978-1-4244-5309-2 | en_US |
dc.identifier.issn | 0271-4302 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/26354 | - |
dc.description.abstract | Healthcare 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.iso | en_US | en_US |
dc.title | A +/- 6ms-Accuracy, 0.68mm(2) and 2.21 mu W QRS Detection ASIC | en_US |
dc.type | Article | en_US |
dc.identifier.journal | 2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS | en_US |
dc.citation.spage | 1372 | en_US |
dc.citation.epage | 1375 | en_US |
dc.contributor.department | 電機工程學系 | zh_TW |
dc.contributor.department | Department of Electrical and Computer Engineering | en_US |
dc.identifier.wosnumber | WOS:000287216001150 | - |
Appears in Collections: | Conferences Paper |