University of Oulu

H. Mir, H. Al-Nashash, J. Kortelainen and A. All, "Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals," 2017 Asia Modelling Symposium (AMS), Kota Kinabalu, 2017, pp. 13-17. doi: 10.1109/AMS.2017.11

Assessment of spinal cord injury via sparse modeling of somatosensory evoked potential signals

Saved in:
Author: Mir, Hasan1; Al-Nashash, Hasan1; Kortelainen, Jukka2;
Organizations: 1Department of Electrical Engineering American University of Sharjah, UAE
2Center for Machine Vision and Signal Analysis University of Oulu, Finland
3SINAPSE Institute National University of Singapore
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
Persistent link:
Language: English
Published: IEEE Computer Society, 2018
Publish Date: 2019-04-15


The morphological differences between somatosensory evoked potential (SEP) signals from a normal spinal pathway and spinal pathway affected by spinal cord injury (SCI) provide an indication of the degree of SCI. A sparse representation of the fit between these signals is proposed in this paper as an SCI assessment method. The proposed method is tested on actual SEP signals collected from rodents that have been subjected to spinal transection. Results indicate that the proposed method provides a robust measure of the different degrees of SCI resulting from transection of the spinal cord.

see all

Series: Asia Modelling Symposium
ISSN: 2374-8400
ISSN-E: 2376-1172
ISSN-L: 2374-8400
ISBN: 978-1-5386-3752-4
ISBN Print: 978-1-5386-3753-1
Pages: 13 - 17
Article number: 8424281
DOI: 10.1109/AMS.2017.11
Host publication: 2017 Asia Modelling Symposium (AMS 2017), 4-6 December 2017, Kota Kinabalu, Malaysia
Host publication editor: Al-Dabass, David
Shapiai, Mohd Ibrahim
Ibrahim, Zuwairie
Conference: Asia Modelling Symposium
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.