Details
Presenter(s)
![Rohan Brash Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/17121_0.jpg?h=b5e7ecd0&itok=Du2Zccle)
Display Name
Rohan Brash
- Affiliation
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AffiliationDelft University of Technology
- Country
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 30μm diameter microelectrode array show a worst-case artifact recovery time of 160μswhen measured from the end of the working phase (anodic 500 nA, 250μs). On average, the proposed algorithm provides an 81% improvement over a triphasic charge-balanced stimulation waveform.