Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems
AbstractThis paper presents a minimally-invasive neural interface for distributed wireless electrocorticogram (ECoG) recording systems. The proposed interface equips all necessary components for ECoG recording, such as the high performance front-end integrated circuits, a fabricated flexible microelectrode array, and wireless communication inside a miniaturized custom-made platform. The multiple units of the interface systems can be deployed to cover a broad range of the target brain region and transmit signals via a built-in intra-skin communication (ISCOM) module. The core integrated circuit (IC) consists of 16-channel, low-power push-pull double-gated preamplifiers, in-channel successive approximation register analog-to-digital converters (SAR ADC) with a single-clocked bootstrapping switch and a time-delayed control unit, an ISCOM module for wireless data transfer through the skin instead of a power-hungry RF wireless transmitter, and a monolithic voltage/current reference generator to support the aforementioned analog and mixed-signal circuit blocks. The IC was fabricated using 250 nm CMOS processes in an area of 3.2 × 0.9 mm2 and achieved the low-power operation of 2.5 µW per channel. Input-referred noise was measured as 5.62 µVrms for 10 Hz to 10 kHz and ENOB of 7.21 at 31.25 kS/s. The implemented system successfully recorded multi-channel neural activities in vivo from a primate and demonstrated modular expandability using the ISCOM with power consumption of 160 µW. View Full-Text
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Chang, S.-I.; Park, S.-Y.; Yoon, E. Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems. Sensors 2018, 18, 263.
Chang S-I, Park S-Y, Yoon E. Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems. Sensors. 2018; 18(1):263.Chicago/Turabian Style
Chang, Sun-Il; Park, Sung-Yun; Yoon, Euisik. 2018. "Minimally-Invasive Neural Interface for Distributed Wireless Electrocorticogram Recording Systems." Sensors 18, no. 1: 263.