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

H. Mir; H. Al-Nashash; J. Kortelainen; A. 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
, A. All

Department of Chemistry

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

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
Title of host publication	AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation
Editors	Zuwairie Ibrahim, David Al-Dabass, Mohd Ibrahim Shapiai
Publisher	IEEE
Pages	13-17
Number of pages	5
ISBN (Electronic)	9781538637524, 9781538637517
ISBN (Print)	9781538637531
DOIs	https://doi.org/10.1109/AMS.2017.11
Publication status	Published - 4 Dec 2017
Event	2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation - Kota Kinabalu, Sabah, Malaysia Duration: 4 Dec 2017 → 6 Dec 2017 https://doi.org/10.1109/AMS43045.2017 (Conference Proceeding)

Publication series

Name	AMS - Asia Modelling Symposium
ISSN (Electronic)	2376-1172

Conference

Conference	2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation
Abbreviated title	2017 AMS
Country/Territory	Malaysia
City	Kota Kinabalu, Sabah
Period	4/12/17 → 6/12/17
Internet address	https://doi.org/10.1109/AMS43045.2017 (Conference Proceeding)

User-Defined Keywords

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

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10.1109/AMS.2017.11

Cite this

Mir, H., Al-Nashash, H., Kortelainen, J., & All, A. (2017). Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. In Z. Ibrahim, D. Al-Dabass, & M. I. Shapiai (Eds.), AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation (pp. 13-17). (AMS - Asia Modelling Symposium). IEEE. https://doi.org/10.1109/AMS.2017.11

Mir, H. ; Al-Nashash, H. ; Kortelainen, J. et al. / Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation. editor / Zuwairie Ibrahim ; David Al-Dabass ; Mohd Ibrahim Shapiai. IEEE, 2017. pp. 13-17 (AMS - Asia Modelling Symposium).

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title = "Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals",

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.",

keywords = "Somatosensory Evoked Potential (SEP), Spinal Cord Injury (SCI)",

author = "H. Mir and H. Al-Nashash and J. Kortelainen and A. All",

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language = "English",

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Mir, H, Al-Nashash, H, Kortelainen, J & All, A 2017, Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. in Z Ibrahim, D Al-Dabass & MI Shapiai (eds), AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation. AMS - Asia Modelling Symposium, IEEE, pp. 13-17, 2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation, Kota Kinabalu, Sabah, Malaysia, 4/12/17. 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. et al.
AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation. ed. / Zuwairie Ibrahim; David Al-Dabass; Mohd Ibrahim Shapiai. IEEE, 2017. p. 13-17 (AMS - Asia Modelling Symposium).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals

AU - Mir, H.

AU - Al-Nashash, H.

AU - Kortelainen, J.

AU - All, A.

PY - 2017/12/4

Y1 - 2017/12/4

N2 - 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.

AB - 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.

KW - Somatosensory Evoked Potential (SEP)

KW - Spinal Cord Injury (SCI)

UR - https://www.scopus.com/pages/publications/85051496606

U2 - 10.1109/AMS.2017.11

DO - 10.1109/AMS.2017.11

M3 - Conference proceeding

AN - SCOPUS:85051496606

SN - 9781538637531

T3 - AMS - Asia Modelling Symposium

SP - 13

EP - 17

BT - AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation

A2 - Ibrahim, Zuwairie

A2 - Al-Dabass, David

A2 - Shapiai, Mohd Ibrahim

PB - IEEE

T2 - 2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation

Y2 - 4 December 2017 through 6 December 2017

ER -

Mir H, Al-Nashash H, Kortelainen J, All A. Assessment of Spinal Cord Injury via Sparse Modeling of Somatosensory Evoked Potential Signals. In Ibrahim Z, Al-Dabass D, Shapiai MI, editors, AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation. IEEE. 2017. p. 13-17. (AMS - Asia Modelling Symposium). doi: 10.1109/AMS.2017.11

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

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