A 0.0094mm 2 /Channel Time-Based Beat Frequency ADC in 65nm CMOS for Intra-Electrode Neural Recording

Luke R Everson, Somnath Kundu, Gang Chen, Zhi Yang, Timothy J Ebner, Chris H. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A digital-intensive, low-area, time-based ADC optimized for in-situ neural recording is fabricated in a 65nm test chip and validated with in-vivo data. The intrinsic inversely proportional gain of a beat frequency based quantizer allows recording of sub-millivolt neural signals without any sophisticated amplifiers or filters. A low-area analog-front-end (AFE) is implemented with a standard digital logic inverter transimpedance amplifier and tunable low pass and high pass filters. The test chip achieves 20.9dB SNDR for a 1mVpp input at 416Hz with a bandwidth of 4.2 kHz and consumes 52μW at 0.8V. In-vivo evoked potentials and spontaneous activity were measured directly from a mouse cerebellum without any external components, validating the efficacy of the aggressive tradeoffs. These results are achieved in an area of 0.0094mm 2 /channel, including on-chip AC coupling and filter passives, which makes this an attractive architecture for complete integration in ultra-high channel count neural recording systems.

Original languageEnglish (US)
Title of host publication2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538636039
DOIs
StatePublished - Dec 20 2018
Event2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Cleveland, United States
Duration: Oct 17 2018Oct 19 2018

Publication series

Name2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings

Other

Other2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018
CountryUnited States
CityCleveland
Period10/17/1810/19/18

Fingerprint

Passive filters
High pass filters
beat frequencies
Operational amplifiers
Bioelectric potentials
Evoked Potentials
Cerebellum
CMOS
Electrodes
recording
chips
Bandwidth
electrodes
amplifiers
cerebellum
high pass filters
filters
tradeoffs
logic
mice

Cite this

Everson, L. R., Kundu, S., Chen, G., Yang, Z., Ebner, T. J., & Kim, C. H. (2018). A 0.0094mm 2 /Channel Time-Based Beat Frequency ADC in 65nm CMOS for Intra-Electrode Neural Recording In 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings [8584754] (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIOCAS.2018.8584754

A 0.0094mm 2 /Channel Time-Based Beat Frequency ADC in 65nm CMOS for Intra-Electrode Neural Recording . / Everson, Luke R; Kundu, Somnath; Chen, Gang; Yang, Zhi; Ebner, Timothy J; Kim, Chris H.

2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8584754 (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Everson, LR, Kundu, S, Chen, G, Yang, Z, Ebner, TJ & Kim, CH 2018, A 0.0094mm 2 /Channel Time-Based Beat Frequency ADC in 65nm CMOS for Intra-Electrode Neural Recording in 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings., 8584754, 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018, Cleveland, United States, 10/17/18. https://doi.org/10.1109/BIOCAS.2018.8584754
Everson LR, Kundu S, Chen G, Yang Z, Ebner TJ, Kim CH. A 0.0094mm 2 /Channel Time-Based Beat Frequency ADC in 65nm CMOS for Intra-Electrode Neural Recording In 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. 8584754. (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings). https://doi.org/10.1109/BIOCAS.2018.8584754
Everson, Luke R ; Kundu, Somnath ; Chen, Gang ; Yang, Zhi ; Ebner, Timothy J ; Kim, Chris H. / A 0.0094mm 2 /Channel Time-Based Beat Frequency ADC in 65nm CMOS for Intra-Electrode Neural Recording 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings).
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