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Title: A 457 nW Near-Threshold Cognitive Multi-Functional ECG Processor for Long-Term Cardiac Monitoring
Authors: Liu, Xin
Zhou, Jun
Yang, Yongkui
Wang, Bo
Lan, Jingjing
Wang, Chao
Luo, Jianwen
Goh, Wang Ling
Kim, Tony Tae-Hyoung
Je, Minkyu
Keywords: Cognitive; ECG; multi-functional; nearthreshold; ultra low power
Ultra low power
Issue Date: 2014
Source: Liu, X., Zhou, J., Yang, Y., Wang, B., Lan, J., Wang, C., et al. (2014). A 457 nW Near-Threshold Cognitive Multi-Functional ECG Processor for Long-Term Cardiac Monitoring. IEEE Journal of Solid-State Circuits, 49(11), 2422-2434.
Series/Report no.: IEEE Journal of Solid-State Circuits
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.
ISSN: 0018-9200
DOI: 10.1109/JSSC.2014.2338870
Schools: School of Electrical and Electronic Engineering 
School of Physical and Mathematical Sciences 
Research Centres: Nanyang Environment and Water Research Institute 
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles
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