@inproceedings{f212aa117e5e47958b0a18c498d746ec,
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",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Asia Modelling Symposium, AMS 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation ; Conference date: 04-12-2017 Through 06-12-2017",
year = "2018",
month = aug,
day = "1",
doi = "10.1109/AMS.2017.11",
language = "English (US)",
isbn = "9781538637524",
series = "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",
editor = "Zuwairie Ibrahim and David Al-Dabass and Shapiai, {Mohd Ibrahim}",
booktitle = "AMS 2017 - Asia Modelling Symposium 2017 and 11th International Conference on Mathematical Modelling and Computer Simulation",
}