Quantification of spinal cord injury level using somatosensory evoked potentials

Hasan S. Mir, Hasan Al-Nashash, Angelo Homayoun All, Nitish V Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper uses a modified correlation metric to study the somatosensory evoked potential (SEP) in rodents afflicted with spinal cord injury (SCI). It has been shown that specific features of the SEP signal are a strong indicator of the integrity of the spinal pathway. The metric used in this paper exploits an adaptive template tailored to specific features of interest in the SEP signal, thereby providing a more robust assessment of the level of SCI compared to conventional metrics such as Pearson's correlation coefficient. Results are presented using actual SEP signals collected on rodents with various levels of SCI.

Original languageEnglish (US)
Title of host publication2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
DOIs
StatePublished - 2010
Event4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 - Chengdu, China
Duration: Jun 18 2010Jun 20 2010

Other

Other4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
CountryChina
CityChengdu
Period6/18/106/20/10

Fingerprint

Somatosensory Evoked Potentials
Bioelectric potentials
Spinal Cord Injuries
Rodentia

Keywords

  • Adaptive signed correlation index (ASCI)
  • Somatosensory evoked potential (SEP)
  • Spinal cord injury (SCI)

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Mir, H. S., Al-Nashash, H., All, A. H., & Thakor, N. V. (2010). Quantification of spinal cord injury level using somatosensory evoked potentials. In 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 [5515579] https://doi.org/10.1109/ICBBE.2010.5515579

Quantification of spinal cord injury level using somatosensory evoked potentials. / Mir, Hasan S.; Al-Nashash, Hasan; All, Angelo Homayoun; Thakor, Nitish V.

2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010. 2010. 5515579.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mir, HS, Al-Nashash, H, All, AH & Thakor, NV 2010, Quantification of spinal cord injury level using somatosensory evoked potentials. in 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010., 5515579, 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010, Chengdu, China, 6/18/10. https://doi.org/10.1109/ICBBE.2010.5515579
Mir HS, Al-Nashash H, All AH, Thakor NV. Quantification of spinal cord injury level using somatosensory evoked potentials. In 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010. 2010. 5515579 https://doi.org/10.1109/ICBBE.2010.5515579
Mir, Hasan S. ; Al-Nashash, Hasan ; All, Angelo Homayoun ; Thakor, Nitish V. / Quantification of spinal cord injury level using somatosensory evoked potentials. 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010. 2010.
@inproceedings{9dee701161a4410bada1eeead155ed18,
title = "Quantification of spinal cord injury level using somatosensory evoked potentials",
abstract = "This paper uses a modified correlation metric to study the somatosensory evoked potential (SEP) in rodents afflicted with spinal cord injury (SCI). It has been shown that specific features of the SEP signal are a strong indicator of the integrity of the spinal pathway. The metric used in this paper exploits an adaptive template tailored to specific features of interest in the SEP signal, thereby providing a more robust assessment of the level of SCI compared to conventional metrics such as Pearson's correlation coefficient. Results are presented using actual SEP signals collected on rodents with various levels of SCI.",
keywords = "Adaptive signed correlation index (ASCI), Somatosensory evoked potential (SEP), Spinal cord injury (SCI)",
author = "Mir, {Hasan S.} and Hasan Al-Nashash and All, {Angelo Homayoun} and Thakor, {Nitish V}",
year = "2010",
doi = "10.1109/ICBBE.2010.5515579",
language = "English (US)",
isbn = "9781424447138",
booktitle = "2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010",

}

TY - GEN

T1 - Quantification of spinal cord injury level using somatosensory evoked potentials

AU - Mir, Hasan S.

AU - Al-Nashash, Hasan

AU - All, Angelo Homayoun

AU - Thakor, Nitish V

PY - 2010

Y1 - 2010

N2 - This paper uses a modified correlation metric to study the somatosensory evoked potential (SEP) in rodents afflicted with spinal cord injury (SCI). It has been shown that specific features of the SEP signal are a strong indicator of the integrity of the spinal pathway. The metric used in this paper exploits an adaptive template tailored to specific features of interest in the SEP signal, thereby providing a more robust assessment of the level of SCI compared to conventional metrics such as Pearson's correlation coefficient. Results are presented using actual SEP signals collected on rodents with various levels of SCI.

AB - This paper uses a modified correlation metric to study the somatosensory evoked potential (SEP) in rodents afflicted with spinal cord injury (SCI). It has been shown that specific features of the SEP signal are a strong indicator of the integrity of the spinal pathway. The metric used in this paper exploits an adaptive template tailored to specific features of interest in the SEP signal, thereby providing a more robust assessment of the level of SCI compared to conventional metrics such as Pearson's correlation coefficient. Results are presented using actual SEP signals collected on rodents with various levels of SCI.

KW - Adaptive signed correlation index (ASCI)

KW - Somatosensory evoked potential (SEP)

KW - Spinal cord injury (SCI)

UR - http://www.scopus.com/inward/record.url?scp=77956148572&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956148572&partnerID=8YFLogxK

U2 - 10.1109/ICBBE.2010.5515579

DO - 10.1109/ICBBE.2010.5515579

M3 - Conference contribution

AN - SCOPUS:77956148572

SN - 9781424447138

BT - 2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010

ER -