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

ABSTRACT: 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 .

SUBMITTER: Okazawa T

PROVIDER: S-EPMC5795473 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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

Okazawa Takayuki T Akita Ippei I

Sensors (Basel, Switzerland) 20180111 1

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 ...[more]

PMID: 29324675

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