International Journal of Advanced and Applied Sciences

Int. j. adv. appl. sci.

EISSN: 2313-3724

Print ISSN: 2313-626X

Volume 4, Issue 10  (October 2017), Pages:  124-129

Original Research Paper

Title: A mathematical framework simulating nerve fiber physiology

Author(s): M. Z. Ul Haque 1, 2, *, Peng Du 2, Leo K. Cheng 2

Affiliation(s):

1Department of Biomedical Engineering, Barrett Hodgson University, Karachi, Pakistan
2Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

https://doi.org/10.21833/ijaas.2017.010.017

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Abstract:

Nerves are an important part in human body which not only controls the movement and locomotion of the body but also but also contains sensory receptors from other parts of the body which provide continuous feedback to the brain and spinal cord. Various diagnostic methods are used to detect the specific damage response of the nerve but they do not identify the precise location of the nerve damage. A computational nerve model may help to identify the exact location of nerve damage. Therefore, in this study the organization of a one-dimensional (1D) synthetic single element structural and functional model which typify the anatomy and physiology of the nerve is proposed. The geometrical model was developed using 1D linear Lagrange basis function while the functional model was developed by applying external stimulus and solving the bidomain model. The unmyelinated and myelinated nerve electrophysiological models were used to generate and propagate the action potential in this 1D synthetic single element model (SSEM). The nerve conduction velocity (NCV) was also computed in this proposed model and found that the myelinated nerve model has a higher NCV in contrast to unmyelinated model. This model will provide a platform for the development of the complete anatomical and functional model of the nerves in the various location of the body and may be helpful for clinician and physiologists in the evaluation and diagnosis of the structural as well as functional consequences of diabetic neuropathy in its initial stages. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Action potential, Computational model, Diagnostic method, Electrophysiological nerve model, Lagrange basis function, Nerve conduction velocity

Article History: Received 15 June 2017, Received in revised form 20 August 2017, Accepted 29 August 2017

Digital Object Identifier: 

https://doi.org/10.21833/ijaas.2017.010.017

Citation:

Ul Haque MZ, Du P, and Cheng LK (2017). A mathematical framework simulating nerve fiber physiology. International Journal of Advanced and Applied Sciences, 4(10): 124-129

Permanent Link:

http://www.science-gate.com/IJAAS/V4I10/Haque.html

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