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

• Main Authors: Takayuki Okazawa, Ippei Akita
• Format: Article
• Language: English
• Published: MDPI AG 2018-01-01
• Series: Sensors
• Subjects: compressed sensing; time domain analog; spatial
• Online Access: http://www.mdpi.com/1424-8220/18/1/184

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 .