Novel Modeling of Somatosensory Evoked Potentials for the Assessment of Spinal Cord Injury

Hasan Mir, Hasan Al-Nashash, Jukka Kortelainen, Angelo Homayoun All

Research output: Contribution to journalArticle

Abstract

Objective: Previous work has shown that differences in the somatosensory evoked potential (SEP) signals between a normal spinal pathway and spinal pathway affected by spinal cord injury (SCI) provide a means to study the degree of injury. This paper proposes a novel quantitative SCI assessment method using time-domain SEP signals. Methods: A pruned and unstructured fit between SEP signals from a normal spinal pathway and a spinal pathway affected by SCI is developed using methods inspired by recent results in sparse reconstruction theory. The coefficients from the resulting fit are used to develop a quantitative assessment of SCI that is tested on actual SEP signals collected from rodents that have been subjected to partial and complete spinal cord transection. Results: The proposed method provides a rich parametric measure that integrates SEP amplitude, time latency, and morphology, while exhibiting a high degree of correlation with existing subjective and quantitative SCI assessment methods. Conclusion: The proposed SCI encapsulates a model of the injury to quantify SCI. Significance: The proposed SCI quantification method may be used to complement existing SCI assessment methods.

Original languageEnglish (US)
Pages (from-to)511-520
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume65
Issue number3
DOIs
StatePublished - Mar 1 2018

Keywords

  • Somatosensory evoked potential (SEP)
  • sparse reconstruction
  • spinal cord injury (SCI)

ASJC Scopus subject areas

  • Biomedical Engineering

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