An Energy-Efficient Biomedical Signal Processing Platform
Name
Chandrakasan-An Energy-efficient.pdf
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1.24 MB
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Adobe PDF
Checksum (MD5)
394bb1520a65aa9cf3ce5d60ec85e520
Author(s)
Kwong, Joyce
Chandrakasan, Anantha P.
Date Issued
September 2010
Journal
2010 Proceedings of the ESSCIRC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Kwong, Joyce, and Anantha P. Chandrakasan. “An Energy-efficient Biomedical Signal Processing Platform.” 2010 Proceedings of the ESSCIRC, 2010. 526–529.
Version
Final published version
Abstract
This paper presents an energy-efficient processing platform for wearable sensor nodes, designed to support diverse biological signals and algorithms. The platform features a 0.5V-1.0V 16b 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 215× lower energy than the general-purpose CPU. When running complete EEG and EKG applications using both CPU and accelerators, the platform achieves 10.2× and 11.5× energy reduction respectively compared to CPU-only implementations.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ESSCIRC.2010.5619759
