| Literature DB >> 34483356 |
Aria Samiei1, Hossein Hashemi1.
Abstract
We present a 180-nm CMOS bidirectional neural interface system-on-chip that enables simultaneous recording and stimulation with on-chip stimulus artifact cancelers. The front-end cancellation scheme incorporates a least-mean-square engine that adapts the coefficients of a 2-tap infinite-impulse-response filter to replicate the stimulation artifact waveform and subtract it at the front-end. Measurements demonstrate the efficacy of the canceler in mitigating artifacts up to 700 mVpp and reducing the front-end amplifier saturation recovery time in response to a 2.5 Vpp artifact. Each recording channel houses a pair of adaptive infinite-impulse-response filters, which enable cancellation of the artifacts generated by the simultaneous operation of the 2 on-chip stimulators. The analog front-end consumes 2.5 μW of power per channel, has a maximum gain of 50 dB and a bandwidth of 9.0 kHz with 6.2 μVrms integrated input-referred noise.Entities:
Keywords: IIR filter; adaptive LMS; artifact cancellation; neural recording; neural stimulation
Year: 2021 PMID: 34483356 PMCID: PMC8409175 DOI: 10.1109/jssc.2021.3056040
Source DB: PubMed Journal: IEEE J Solid-State Circuits ISSN: 0018-9200 Impact factor: 6.126