In-silico Phantom Axon: Emulation of an Action Potential Propagating Along Artificial Nerve Fiber

Olivier Rossel 1 Fabien Soulier 2 Serge Bernard 2 David Guiraud 1 Guy Cathébras 2
1 DEMAR - Artificial movement and gait restoration
CRISAM - Inria Sophia Antipolis - Méditerranée , LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 SmartIES - Smart Integrated Electronic Systems
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents an original method to emulate a single fiber action potential in a quasi-infinite conductive volume, suitable for reproducible testing of bio-potential recording systems. The model is accurate for reproducing the bio-potential even for a small electrode to fiber radial distances. Established current activities of axon is used and programmed in the developed FPGA-based instrument, the model takes into consideration action potential propagation properties, electrode to fiber radial distances, medium conductivity. This paper investigates differences in the action potential amplitude for two longitudinal probe positions one in front of a node of Ranvier (NOR) and one between two NOR, for a large range of radial distances. Results are reported and compared with simulation with a correlation level of 97.6 %. The model is realistic enough to help the design of new recording systems.
Document type :
Conference papers
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01237977
Contributor : Olivier Rossel <>
Submitted on : Friday, December 4, 2015 - 9:56:01 AM
Last modification on : Wednesday, August 28, 2019 - 7:12:02 PM
Long-term archiving on: Saturday, April 29, 2017 - 4:46:30 AM

File

silico-phantom-axonVF.pdf
Files produced by the author(s)

Identifiers

Collections

CNRS | INRIA | DEMAR | LIRMM | LIRMM_MIC | MIC | MIPS | UNIV-MONTPELLIER | SMARTIES | CAMIN

Citation

Olivier Rossel, Fabien Soulier, Serge Bernard, David Guiraud, Guy Cathébras. In-silico Phantom Axon: Emulation of an Action Potential Propagating Along Artificial Nerve Fiber. ISVLSI: International Symposium on Very Large Scale Integration, Jul 2015, Montpellier, France. pp.228-230, ⟨10.1109/ISVLSI.2015.123⟩. ⟨lirmm-01237977⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

403

Files downloads

616

Contact

Informations

CCSD