FARA

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

Brash, Rohan (Student TU Delft)
Serdijn, W.A. (TU Delft Bio-Electronics)
Muratore, D.G. (TU Delft Bio-Electronics)

2022

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.

http://resolver.tudelft.nl/uuid:0b14c8bf-8387-4e1a-842d-1eb6614b5c73

https://doi.org/10.1109/ISCAS48785.2022.9937814

IEEE, Danvers

2023-07-01

978-1-6654-8486-2

Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS)

2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022-05-27 → 2022-06-01, Austin, United States

Proceedings - IEEE International Symposium on Circuits and Systems, 0271-4310, 2022-May

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2022 Rohan Brash, W.A. Serdijn, D.G. Muratore