Quantification of Spinal Cord Injury Level Using Somatosensory Evoked Potentials

Hasan S. Mir; Hasan Al-Nashash; Angelo H. All; Nitish V. Thakor

doi:10.1109/ICBBE.2010.5515579

Quantification of Spinal Cord Injury Level Using Somatosensory Evoked Potentials

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

Department of Chemistry

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

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 language	English
Title of host publication	2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781424447138
ISBN (Print)	9781424447121
DOIs	https://doi.org/10.1109/ICBBE.2010.5515579
Publication status	Published - 18 Jun 2010
Event	4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 - Chengdu, China Duration: 18 Jun 2010 → 20 Jun 2010 https://ieeexplore.ieee.org/xpl/conhome/5513048/proceeding (Conference Proceedings)

Publication series

Name	International Conference on Bioinformatics and Biomedical Engineering, iCBBE
ISSN (Print)	2151-7614
ISSN (Electronic)	2151-7622

Conference

Conference	4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010
Country/Territory	China
City	Chengdu
Period	18/06/10 → 20/06/10
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5513048/proceeding (Conference Proceedings)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

User-Defined Keywords

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

Access to Document

10.1109/ICBBE.2010.5515579

Cite this

@inproceedings{64c16e5bf407419697a7579ab5adf05d,

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 = "Somatosensory evoked potential (SEP), Spinal cord injury (SCI), Adaptive signed correlation index (ASCI)",

author = "Mir, \{Hasan S.\} and Hasan Al-Nashash and All, \{Angelo H.\} and Thakor, \{Nitish V.\}",

note = "Publisher Copyright: {\textcopyright} 2010 IEEE. Funding Information: This work was supported by the Maryland Stem Cell Research Fund 2007-MSCRFII-0159-00.; 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010 ; Conference date: 18-06-2010 Through 20-06-2010",

year = "2010",

month = jun,

day = "18",

doi = "10.1109/ICBBE.2010.5515579",

language = "English",

isbn = "9781424447121",

series = "International Conference on Bioinformatics and Biomedical Engineering, iCBBE",

publisher = "IEEE",

booktitle = "2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/5513048/proceeding",

}

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. International Conference on Bioinformatics and Biomedical Engineering, iCBBE, IEEE, 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010, Chengdu, China, 18/06/10. 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 H. et al.
2010 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010. IEEE, 2010. (International Conference on Bioinformatics and Biomedical Engineering, iCBBE).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Quantification of Spinal Cord Injury Level Using Somatosensory Evoked Potentials

AU - Mir, Hasan S.

AU - Al-Nashash, Hasan

AU - All, Angelo H.

AU - Thakor, Nitish V.

PY - 2010/6/18

Y1 - 2010/6/18

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 - Somatosensory evoked potential (SEP)

KW - Spinal cord injury (SCI)

KW - Adaptive signed correlation index (ASCI)

UR - https://www.scopus.com/pages/publications/77956148572

U2 - 10.1109/ICBBE.2010.5515579

DO - 10.1109/ICBBE.2010.5515579

M3 - Conference proceeding

AN - SCOPUS:77956148572

SN - 9781424447121

T3 - International Conference on Bioinformatics and Biomedical Engineering, iCBBE

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

PB - IEEE

T2 - 4th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2010

Y2 - 18 June 2010 through 20 June 2010

ER -

Quantification of Spinal Cord Injury Level Using Somatosensory Evoked Potentials

Abstract

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UN SDGs

User-Defined Keywords

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