DocumentCode :
64230
Title :
A Device for Emulating Cuff Recordings of Action Potentials Propagating Along Peripheral Nerves
Author :
Rieger, Robert ; Schuettler, Martin ; Sheng-Chih Chuang
Author_Institution :
Electr. Eng. Dept., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume :
22
Issue :
5
fYear :
2014
fDate :
Sept. 2014
Firstpage :
937
Lastpage :
945
Abstract :
This paper describes a device that emulates propagation of action potentials along a peripheral nerve, suitable for reproducible testing of bio-potential recording systems using nerve cuff electrodes. The system is a microcontroller-based stand-alone instrument which uses established nerve and electrode models to represent neural activity of real nerves recorded with a nerve cuff interface, taking into consideration electrode impedance, voltages picked up by the electrodes, and action potential propagation characteristics. The system emulates different scenarios including compound action potentials with selectable propagation velocities and naturally occurring nerve traffic from different velocity fiber populations. Measured results from a prototype implementation are reported and compared with in vitro recordings from Xenopus Laevis frog sciatic nerve, demonstrating that the electrophysiological setting is represented to a satisfactory degree, useful for the development, optimization and characterization of future recording systems.
Keywords :
bioelectric potentials; biomedical electrodes; microcontrollers; neurophysiology; action potential propagation characteristics; biopotential recording systems; cuff recording emulation; electrode impedance; electrophysiology; microcontroller-based stand-alone instrument; nerve cuff electrodes; nerve cuff interface; neural activity; peripheral nerves; velocity fiber; Electric potential; Electrodes; Microcontrollers; Nerve fibers; Resistance; Testing; Voltage measurement; Cuff electrode recording; device testing instrument; electroneurogram (ENG) emulator; microcontroller; nerve recording; propagation velocity;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2014.2300933
Filename :
6714581
Link To Document :
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