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

Mir, Hasan; Al-Nashash, Hasan; Kortelainen, Jukka; All, Angelo (2018-08-02)
 
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https://doi.org/10.1109/AMS.2017.11

Mir, Hasan
Al-Nashash, Hasan
Kortelainen, Jukka
All, Angelo
IEEE Computer Society
02.08.2018

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

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doi:https://doi.org/10.1109/AMS.2017.11
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https://urn.fi/URN:NBN:fi-fe2019041512347
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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.

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