Details
Poster
Presenter(s)
![Maryam Habibollahi Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/24003.png?h=f05f7eac&itok=FLGU0jZx)
Display Name
Maryam Habibollahi
- Affiliation
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AffiliationUniversity College London
- Country
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 ?? CMOS employing neural recording and stimulation. To reduce stimulus artifacts, a 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 46 dB artifact attenuation.