S Sadrafshari
The Design of a Low Noise, Multi-Channel Recording System for Use in Implanted Peripheral Nerve Interfaces
Sadrafshari, S; Metcalfe, B; Donaldson, N; Granger, N; Prager, J; Taylor, J
Authors
B Metcalfe
N Donaldson
N Granger
J Prager
J Taylor
Abstract
In the development of implantable neural interfaces, the recording of signals from the peripheral nerves is a major challenge. Since the interference from outside the body, other biopotentials, and even random noise can be orders of magnitude larger than the neural signals, a filter network to attenuate the noise and interference is necessary. However, these networks may drastically affect the system performance, especially in recording systems with multiple electrode cuffs (MECs), where a higher number of electrodes leads to complicated circuits. This paper introduces formal analyses of the performance of two commonly used filter networks. To achieve a manageable set of design equations, the state equations of the complete system are simplified. The derived equations help the designer in the task of creating an interface network for specific applications. The noise, crosstalk and common-mode rejection ratio (CMRR) of the recording system are computed as a function of electrode impedance, filter component values and amplifier specifications. The effect of electrode mismatches as an inherent part of any multi-electrode system is also discussed, using measured data taken from a MEC implanted in a sheep. The accuracy of these analyses is then verified by simulations of the complete system. The results indicate good agreement between analytic equations and simulations. This work highlights the critical importance of understanding the effect of interface circuits on the performance of neural recording systems.
Citation
Sadrafshari, S., Metcalfe, B., Donaldson, N., Granger, N., Prager, J., & Taylor, J. (2022). The Design of a Low Noise, Multi-Channel Recording System for Use in Implanted Peripheral Nerve Interfaces. Sensors, 22(9), https://doi.org/10.3390/s22093450
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 23, 2022 |
Publication Date | Apr 30, 2022 |
Deposit Date | Aug 23, 2022 |
Publicly Available Date | Aug 23, 2022 |
Electronic ISSN | 1424-8220 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 22 |
Issue | 9 |
DOI | https://doi.org/10.3390/s22093450 |
Keywords | neural recording; multiple electrode cuff (MEC); interface filter network; common-mode rejection ratio (CMRR); noise performance; crosstalk; electrode mismatch; VELOCITY |
Files
The Design of a Low Noise, Multi-Channel Recording System for Use in Implanted Peripheral Nerve Interfaces
(2.1 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Version
VoR
Downloadable Citations
About RVC Repository
Administrator e-mail: publicationsrepos@rvc.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search