Referenced Items are not available for this document.
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 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.
Published in:
Solid-State Circuits, IEEE Journal of
(Volume:46
,
Issue:
7
)
Date of Publication: July 2011
- Page(s):
- 1742 - 1753
- ISSN :
- 0018-9200
- INSPEC Accession Number:
- 12073027
- Digital Object Identifier :
- 10.1109/JSSC.2011.2144450
- Date of Publication :
- 06 June 2011
- Date of Current Version :
- 23 June 2011
- Issue Date :
- July 2011
- Sponsored by :
- IEEE Solid-State Circuits Society
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