Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Liu, Xin | - |
dc.contributor.author | Zhou, Jun | - |
dc.contributor.author | Yang, Yongkui | - |
dc.contributor.author | Wang, Bo | - |
dc.contributor.author | Lan, Jingjing | - |
dc.contributor.author | Wang, Chao | - |
dc.contributor.author | Luo, Jianwen | - |
dc.contributor.author | Goh, Wang Ling | - |
dc.contributor.author | Kim, Tony Tae-Hyoung | - |
dc.contributor.author | Je, Minkyu | - |
dc.date.available | 2017-07-11T05:25:15Z | - |
dc.date.created | 2017-04-10 | - |
dc.date.issued | 2014-11 | - |
dc.identifier.issn | 0018-9200 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/2639 | - |
dc.description.abstract | A low-power multi-functional electrocardiogram (ECG) signal processor is presented in this paper. To enable long-term monitoring, several architecture-level power saving techniques are proposed, including global cognitive clocking, pseudo-downsampling wavelet transform, adaptive storing, and denoising-based run-length compression. An ultra-low-voltage ADC is designed for low-power signal digitization with adaptive clocking. Through these architecture-level techniques, the total power consumption can be significantly reduced by 63% as compared to the conventional design. Several circuit-level design techniques are also developed, including ultra-low-voltage operation and near-threshold level shifting, to further reduce the power consumption by 33%. In addition, a low-complexity cardiac analysis scheme is proposed to realize comprehensive on-chip cardiac analysis. Implemented in 0.18 μm CMOS process, the proposed cognitive ECG processor consumes only 457 nW at 0.5 V for real-time ECG recording and diagnosis. © IEEE. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A 457 nW Near-Threshold Cognitive Multi-Functional ECG Processor for Long-Term Cardiac Monitoring | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/JSSC.2014.2338870 | - |
dc.identifier.scopusid | 2-s2.0-84908403743 | - |
dc.identifier.bibliographicCitation | IEEE Journal of Solid-State Circuits, v.49, no.11, pp.2422 - 2434 | - |
dc.description.isOpenAccess | FALSE | - |
dc.subject.keywordAuthor | Cognitive | - |
dc.subject.keywordAuthor | ECG | - |
dc.subject.keywordAuthor | multi-functional | - |
dc.subject.keywordAuthor | nearthreshold | - |
dc.subject.keywordAuthor | ultra low power | - |
dc.subject.keywordPlus | WAVELET TRANSFORM | - |
dc.citation.endPage | 2434 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 2422 | - |
dc.citation.title | IEEE Journal of Solid-State Circuits | - |
dc.citation.volume | 49 | - |
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