Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals

H. Mir; H. Al-Nashash; J. Kortelainen; Angelo Homayoun All

doi:10.1109/AMS.2017.11

Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals

H. Mir, H. Al-Nashash, J. Kortelainen, Angelo Homayoun All

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English (US)
Title of host publication	AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	13-17
Number of pages	5
ISBN (Print)	9781538637524
DOIs	https://doi.org/10.1109/AMS.2017.11
State	Published - Aug 1 2018
Event	2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation - Kota Kinabalu, Sabah, Malaysia Duration: Dec 4 2017 → Dec 6 2017

Other

Other	2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation
Country	Malaysia
City	Kota Kinabalu, Sabah
Period	12/4/17 → 12/6/17

Keywords

Somatosensory Evoked Potential (SEP)
Spinal Cord Injury (SCI)

ASJC Scopus subject areas

Computer Science Applications
Modeling and Simulation

Access to Document

10.1109/AMS.2017.11

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Mir, H., Al-Nashash, H., Kortelainen, J., & All, A. H. (2018). Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. In AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation (pp. 13-17). [8424281] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AMS.2017.11

Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. / Mir, H.; Al-Nashash, H.; Kortelainen, J.; All, Angelo Homayoun.

AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation. Institute of Electrical and Electronics Engineers Inc., 2018. p. 13-17 8424281.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mir, H, Al-Nashash, H, Kortelainen, J & All, AH 2018, Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. in AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation., 8424281, Institute of Electrical and Electronics Engineers Inc., pp. 13-17, 2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation, Kota Kinabalu, Sabah, Malaysia, 12/4/17. https://doi.org/10.1109/AMS.2017.11

Mir H, Al-Nashash H, Kortelainen J, All AH. Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. In AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation. Institute of Electrical and Electronics Engineers Inc. 2018. p. 13-17. 8424281 https://doi.org/10.1109/AMS.2017.11

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