Work

An Active Microchannel Neural Interface with Artifact Reduction

Year: 2021

Type: conference-paper

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.

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas51556.2021.9401318

Authors: Maryam Habibollahi, Farnaz Fahimi Hanzaee, Dai Jiang, Henry Lancashire, Andreas Demosthenous

Institution: University College London

Language: English

Topic: Analog and Mixed-Signal Circuit Design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Engineering and Physical Sciences Research Council

Award: Active Neural Interfaces for Bioelectronic Medicines