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Assessment of spinal cord injury via sparse modeling of somatosensory evoked potential signals |
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| 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: | http://urn.fi/urn:nbn:fi-fe2019041512347 |
| Language: | English |
| Published: |
IEEE Computer Society,
2018
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| Publish Date: | 2019-04-15 |
| Description: |
AbstractThe 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
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| 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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| Copyright information: |
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