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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rieger, R. Schuettler, M. Sheng-Chih Chuang |
| Copyright Year | 2001 |
| 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. |
| Sponsorship | IEEE Engineering in Medicine and Biology Society |
| Starting Page | 937 |
| Ending Page | 945 |
| Page Count | 9 |
| File Size | 1381384 |
| File Format | |
| ISSN | 15344320 |
| Volume Number | 22 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrodes Resistance Microcontrollers Electric potential Nerve fibers Testing Voltage measurement propagation velocity Cuff electrode recording device testing instrument electroneurogram (ENG) emulator microcontroller nerve recording |
| Content Type | Text |
| Resource Type | Article |
| Subject | Neuroscience Rehabilitation Internal Medicine Biomedical Engineering Computer Science Applications |
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