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A signal-agnostic compressed sensing acquisition system for wireless and implantable sensors

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3 Author(s)
Chen, F. ; Dept. of EECS, Massachusetts Inst. of Technol., Cambridge, MA, USA ; Chandrakasan, A.P. ; Stojanovic, V.

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.

Published in:

Custom Integrated Circuits Conference (CICC), 2010 IEEE

Date of Conference:

19-22 Sept. 2010