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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

Kim, Seong-JinLiu, LeiYao, LeiGoh, Wang LingGao, YuanJe, Minkyu
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2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014, pp.189 - 192
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.
2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014


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