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Kim, Seong-Jin
Bio-inspired Advanced Sensors Lab.
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dc.citation.conferencePlace CH -
dc.citation.conferencePlace 85 Sky Tower HotelKaohsiung -
dc.citation.endPage 192 -
dc.citation.startPage 189 -
dc.citation.title 2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014 - Kim, Seong-Jin - Liu, Lei - Yao, Lei - Goh, Wang Ling - Gao, Yuan - Je, Minkyu - 2023-12-19T23:08:00Z - 2023-12-19T23:08:00Z - 2015-07-16 - 2014-11-12 -
dc.description.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. -
dc.identifier.bibliographicCitation 2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014, pp.189 - 192 -
dc.identifier.doi 10.1109/ASSCC.2014.7008892 -
dc.identifier.scopusid 2-s2.0-84922567355 -
dc.identifier.uri -
dc.identifier.url -
dc.language 영어 -
dc.publisher 2014 10th IEEE Asian Solid-State Circuits Conference, A-SSCC 2014 -
dc.title A 0.5-V Sub-μW/Channel Neural Recording IC with Delta-Modulation-Based Spike Detection -
dc.type Conference Paper - 2014-11-10 -


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