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An active microchannel neural interface with artifact reduction

Habibollahi, M; Hanzaee, FF; Jiang, D; Lancashire, H; Demosthenous, A; (2021) An active microchannel neural interface with artifact reduction. In: (Proceedings) 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE Green open access

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Abstract

High-density neural electrodes in microchannel interfaces require in-situ amplification of the neural signals and rejection of high-voltage stimulus pulses leaking to the channel in order to adequately detect neural signals in the presence of concurrent stimulation. This paper presents the design of an active microchannel neural interface in 0.18 μm CMOS employing neural recording and stimulation. To reduce stimulus artifacts, a novel method is proposed that disconnects the recording module during concurrent channel stimulation and automatically applies detection and reduction of stimulus artifacts from adjacent channels using a tunable filter. Simulations show that the method provides at least 54 dB artifact attenuation.

Type: Proceedings paper
Title: An active microchannel neural interface with artifact reduction
Event: 2021 IEEE International Symposium on Circuits and Systems (ISCAS)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ISCAS51556.2021.9401318
Publisher version: https://doi.org/10.1109/ISCAS51556.2021.9401318
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10131616
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