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 | |
| 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 |
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Keywords
- Somatosensory Evoked Potential (SEP)
- Spinal Cord Injury (SCI)
ASJC Scopus subject areas
- Computer Science Applications
- Modeling and Simulation
Cite this
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
}
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, Angelo Homayoun
PY - 2018/8/1
Y1 - 2018/8/1
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 - http://www.scopus.com/inward/record.url?scp=85051496606&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051496606&partnerID=8YFLogxK
U2 - 10.1109/AMS.2017.11
DO - 10.1109/AMS.2017.11
M3 - Conference contribution
AN - SCOPUS:85051496606
SN - 9781538637524
SP - 13
EP - 17
BT - AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation
PB - Institute of Electrical and Electronics Engineers Inc.
ER -