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김성진

Kim, Seong-Jin
Bio-inspired Advanced Sensors Lab.
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A 0.5-V Sub-μW/Channel Neural Recording IC with Delta-Modulation-Based Spike Detection

Author(s)
Kim, Seong-JinLiu, LeiYao, LeiGoh, Wang LingGao, YuanJe, Minkyu
Issued Date
2014-11-12
DOI
10.1109/ASSCC.2014.7008892
URI
https://scholarworks.unist.ac.kr/handle/201301/32419
Fulltext
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7008892
Citation
2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014, pp.189 - 192
Abstract
A neural recording IC with a new spike detection scheme is proposed to minimize power dissipation while preserving the waveform information of the detected spikes. A delta modulator is employed in the recording IC to reduce signal dynamic range and enable low-voltage operation. A series of output values from the delta modulator are stored in a small amount of analog memory to extract two key features of the neural signal - amplitude and frequency, which are used for accurate spike detection. Using the stored delta values, the precise spike waveform information can be conserved. A prototype recording IC with 16 channels has been fabricated using 0.18-μm CMOS technology. Measurement results demonstrate the spike detection capability successfully. The fabricated IC consumes only 0.88 μW/channel at 0.5-V supply.
Publisher
2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014

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