An Energy-Efficient Biomedical Signal Processing Platform

被引：77

作者：

Kwong, Joyce ^{[1
]}

Chandrakasan, Anantha P. ^{[2
]}

机构：

[1] Texas Instruments Inc, Dallas, TX 75243 USA

[2] MIT, Microsyst Technol Labs, Cambridge, MA 02139 USA

来源：

IEEE JOURNAL OF SOLID-STATE CIRCUITS | 2011年 / 46卷 / 07期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Accelerators; biomedical signal processing; low-voltage;

D O I：

10.1109/JSSC.2011.2144450

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents an energy-efficient processing platform for wearable sensor nodes, designed to support diverse biological signals and algorithms. The platform features a 0.5 V-1.0 V 16-bit microcontroller, SRAM, and accelerators for biomedical signal processing. Voltage scaling and block-level power gating allow optimizing energy efficiency under applications of varying complexity. Programmable accelerators support numerous usage scenarios and perform signal processing tasks at 133 to 215x lower energy than the general-purpose CPU. When running complete EEG and EKG applications using both CPU and accelerators, the platform achieves 10.2x and 11.5x energy reduction respectively compared to CPU-only implementations.

引用

页码：1742 / 1753

页数：12

共 32 条

[1]

[Anonymous], 1977, DISCRETE TIME SIGNAL

[2] Characterizing and modeling minimum energy operation for subthreshold circuits [J].