A Signal-agnostic Compressed Sensing Acquisition System for Wireless and Implantable Sensors
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Author(s) • •
Chen, Fred Fu-Chin
Chandrakasan, Anantha P.
Stojanovic, Vladimir Marko
Date Issued
September 2010
Journal
2010 IEEE Custom Integrated Circuits Conference (CICC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Chen, Fred, Anantha P. Chandrakasan, and Vladimir Stojanovic. “A Signal-agnostic Compressed Sensing Acquisition System for Wireless and Implantable Sensors.” 2010 IEEE Custom Integrated Circuits Conference (CICC), 2010. 1–4. © Copyright 2010 IEEE
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Final published version
Abstract
A signal-agnostic compressed sensing (CS) acquisition system is presented that addresses both the energy and telemetry bandwidth constraints of wireless sensors. The CS system enables continuous data acquisition and compression that are suitable for a variety of biophysical signals. A hardware efficient realization of the CS sampling demonstrates data compression up to 40x on an EEG signal while maintaining low perceptual loss in the reconstructed signal. The proposed system also simultaneously relaxes the noise and resolution constraints of the analog front end (AFE) and ADC by nearly an order of magnitude. The CS sampling hardware is implemented in a 90 nm CMOS process and consumes 1.9 μW at 0.6 V and 20 kS/s.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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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.
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DOI of Published Version
https://doi.org/10.1109/CICC.2010.5617383