DocumentCode :
658893
Title :
A 457-nW cognitive multi-functional ECG processor
Author :
Xin Liu ; Jun Zhou ; Yongkui Yang ; Bo Wang ; Jingjing Lan ; Chao Wang ; Jianwen Luo ; Wang Ling Goh ; Kim, Tony Tae-Hyoung ; Minkyu Je
Author_Institution :
Inst. of Microelectron., A*STAR (Agency for Sci., Technol. & Res.), Singapore, Singapore
fYear :
2013
fDate :
11-13 Nov. 2013
Firstpage :
141
Lastpage :
144
Abstract :
In this paper, a multi-functional ECG signal processor for wearable and implantable real-time monitoring is presented. To enable extremely long-term ambulatory monitoring, several power saving techniques are proposed, including global cognitive clocking, pseudo-downsampling wavelet transform, adaptive storing, and denoising-based run-length compression. An on-chip low-complexity cardiac signal analysis module is proposed to realize comprehensive analysis functions. Near-threshold circuit technique is applied to the overall system. Implemented in 0.18 μm CMOS, the proposed cognitive ECG processor consumes only 457 nW at 0.5 V supply for real-time ambulatory monitoring. Compared with existing designs, the presented ECG processor achieves the lowest power consumption.
Keywords :
CMOS integrated circuits; biomedical electronics; cognition; data compression; electrocardiography; low-power electronics; medical signal processing; microprocessor chips; patient monitoring; power consumption; signal denoising; wavelet transforms; wearable computers; CMOS; adaptive storing; cognitive multifunctional ECG signal processor; denoising-based run-length compression; global cognitive clocking; implantable real-time monitoring; long-term ambulatory monitoring; near-threshold circuit technique; on-chip low-complexity cardiac signal analysis module; power 457 nW; power consumption; power saving techniques; pseudodownsampling wavelet transform; real-time ambulatory monitoring; size 0.18 mum; voltage 0.5 V; wearable real-time monitoring; Clocks; Electrocardiography; Monitoring; Power demand; Signal analysis; Switches; Wavelet transforms; ECG; low power; processor; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State Circuits Conference (A-SSCC), 2013 IEEE Asian
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-0277-4
Type :
conf
DOI :
10.1109/ASSCC.2013.6691002
Filename :
6691002
Link To Document :
بازگشت