FARA

A Fast Artifact Recovery Algorithm with Optimum Stimulation Waveform for Single-Cell Resolution Massively Parallel Neural Interfaces

Conference paper (2022)

Authors

Rohan Brash Student
Wouter Serdijn Bio-Electronics - EEMCS
D.G. Muratore Bio-Electronics - EEMCS
Research Group
Bio-Electronics (EEMCS) (TU Delft)
Copyright: © 2022 Rohan Brash, W.A. Serdijn, D.G. Muratore
DOI: https://doi.org/10.1109/ISCAS48785.2022.9937814
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Bio-Electronics

Abstract

This paper introduces a fast artifact recovery algorithm (FARA) that uses electrochemical impedance spectroscopy to model the electrode-tissue interface and design an optimum stimulation waveform to minimize the residual artifact duration in single-cell resolution neural interfaces. Results in saline solution with a custom PCB and a 30 $\mu \mathrm{m}$ diameter microelectrode array show a worst case artifact recovery time of 160 $\mu \mathrm{s}$ when measured from the end of the working phase (anodic 500 $\mathrm{n}\mathrm{A}, 250\mu \mathrm{s})$. On average, the proposed algorithm provides an 81% improvement over a triphasic charge-balanced stimulation waveform.

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