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Sensors 2018, 18(1), 184;

A Time-Domain Analog Spatial Compressed Sensing Encoder for Multi-Channel Neural Recording

Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi 441-8580, Japan
Author to whom correspondence should be addressed.
Received: 3 November 2017 / Revised: 8 January 2018 / Accepted: 8 January 2018 / Published: 11 January 2018
(This article belongs to the Section Intelligent Sensors)
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A time-domain analog spatial compressed sensing encoder for neural recording applications is proposed. Owing to the advantage of MEMS technologies, the number of channels on a silicon neural probe array has doubled in 7.4 years, and therefore, a greater number of recording channels and higher density of front-end circuitry is required. Since neural signals such as action potential (AP) have wider signal bandwidth than that of an image sensor, a data compression technique is essentially required for arrayed neural recording systems. In this paper, compressed sensing (CS) is employed for data reduction, and a novel time-domain analog CS encoder is proposed. A simpler and lower power circuit than conventional analog or digital CS encoders can be realized by using the proposed CS encoder. A prototype of the proposed encoder was fabricated in a 180 nm 1P6M CMOS process, and it achieved an active area of 0.0342 mm 2 / ch . and an energy efficiency of 25.0 pJ / ch . · conv . View Full-Text
Keywords: compressed sensing; time domain analog; spatial compressed sensing; time domain analog; spatial

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Okazawa, T.; Akita, I. A Time-Domain Analog Spatial Compressed Sensing Encoder for Multi-Channel Neural Recording. Sensors 2018, 18, 184.

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