Title :
Ultra-low-energy near-threshold biomedical signal processor for versatile wireless health monitoring
Author :
Xin Liu ; Jun Zhou ; Xiongfei Liao ; Chao Wang ; Jianwen Luo ; Madihian, Mohammad ; Minkyu Je
Author_Institution :
Inst. of Microelectron., A*STAR, Singapore, Singapore
Abstract :
In this paper, an ultra-low-energy biomedical signal processor (BSP) is proposed for wireless multi-channel physiological signal monitoring. This BSP integrates a RISC core and application-specific hardware accelerators (ASHAs) to achieve ultra low power consumption while meeting required performance. Various low power design techniques from system to circuit levels are applied, including event-driven signal processing, dynamic clock management, near-threshold operation, glitch-free clock generation, fine-grain clock gating, and ultra-low-voltage level shifting. The BSP can operate with supply from 1.8V down to 0.5V. With integrated ECG ASHAs based on the discrete wavelet transform, its overall energy consumption is 20.4pJ/cycle at 0.5V and 10MHz when performing a real-time wireless ECG monitoring.
Keywords :
application specific integrated circuits; biomedical electronics; clocks; digital signal processing chips; discrete wavelet transforms; electrocardiography; low-power electronics; medical signal processing; patient monitoring; reduced instruction set computing; wireless sensor networks; RISC core; application-specific hardware accelerators; biomedical signal processor; discrete wavelet transform; dynamic clock management; event-driven signal processing; fine-grain clock gating; frequency 10 MHz; glitch-free clock generation; integrated ECG ASHA; near-threshold operation; ultralow-energy BSP; ultralow-voltage level shifting; voltage 1.8 V to 0.5 V; wireless multichannel physiological signal monitoring;
Conference_Titel :
Solid State Circuits Conference (A-SSCC), 2012 IEEE Asian
Conference_Location :
Kobe
DOI :
10.1109/ASSCC.2012.6570806