Statistical model applied to motor evoked potentials analysis

Ying Ma, Nitish V Thakor, Xiaofeng Jia

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

Abstract

Motor evoked potentials (MEPs) convey information regarding the functional integrity of the descending motor pathways. Absence of the MEP has been used as a neurophysiological marker to suggest cortico-spinal abnormalities in the operating room. Due to their high variability and sensitivity, detailed quantitative studies of MEPs are lacking. This paper applies a statistical method to characterize MEPs by estimating the number of motor units and single motor unit potential amplitudes. A clearly increasing trend of single motor unit potential amplitudes in the MEPs after each pulse of the stimulation pulse train is revealed by this method. This statistical method eliminates the effects of anesthesia, and provides an objective assessment of MEPs. Consequently this statistical method has high potential to be useful in future quantitative MEPs analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages2001-2004
Number of pages4
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

Fingerprint

Motor Evoked Potentials
Bioelectric potentials
Statistical Models
Statistical methods
Efferent Pathways
Operating Rooms
Operating rooms
Anesthesia

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Ma, Y., Thakor, N. V., & Jia, X. (2011). Statistical model applied to motor evoked potentials analysis. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2001-2004). [6090563] https://doi.org/10.1109/IEMBS.2011.6090563

Statistical model applied to motor evoked potentials analysis. / Ma, Ying; Thakor, Nitish V; Jia, Xiaofeng.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 2001-2004 6090563.

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

Ma, Y, Thakor, NV & Jia, X 2011, Statistical model applied to motor evoked potentials analysis. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6090563, pp. 2001-2004, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6090563
Ma Y, Thakor NV, Jia X. Statistical model applied to motor evoked potentials analysis. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 2001-2004. 6090563 https://doi.org/10.1109/IEMBS.2011.6090563
Ma, Ying ; Thakor, Nitish V ; Jia, Xiaofeng. / Statistical model applied to motor evoked potentials analysis. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. pp. 2001-2004
@inproceedings{be156021c72b4619897469d792e4343b,
title = "Statistical model applied to motor evoked potentials analysis",
abstract = "Motor evoked potentials (MEPs) convey information regarding the functional integrity of the descending motor pathways. Absence of the MEP has been used as a neurophysiological marker to suggest cortico-spinal abnormalities in the operating room. Due to their high variability and sensitivity, detailed quantitative studies of MEPs are lacking. This paper applies a statistical method to characterize MEPs by estimating the number of motor units and single motor unit potential amplitudes. A clearly increasing trend of single motor unit potential amplitudes in the MEPs after each pulse of the stimulation pulse train is revealed by this method. This statistical method eliminates the effects of anesthesia, and provides an objective assessment of MEPs. Consequently this statistical method has high potential to be useful in future quantitative MEPs analysis.",
author = "Ying Ma and Thakor, {Nitish V} and Xiaofeng Jia",
year = "2011",
doi = "10.1109/IEMBS.2011.6090563",
language = "English (US)",
isbn = "9781424441211",
pages = "2001--2004",
booktitle = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

}

TY - GEN

T1 - Statistical model applied to motor evoked potentials analysis

AU - Ma, Ying

AU - Thakor, Nitish V

AU - Jia, Xiaofeng

PY - 2011

Y1 - 2011

N2 - Motor evoked potentials (MEPs) convey information regarding the functional integrity of the descending motor pathways. Absence of the MEP has been used as a neurophysiological marker to suggest cortico-spinal abnormalities in the operating room. Due to their high variability and sensitivity, detailed quantitative studies of MEPs are lacking. This paper applies a statistical method to characterize MEPs by estimating the number of motor units and single motor unit potential amplitudes. A clearly increasing trend of single motor unit potential amplitudes in the MEPs after each pulse of the stimulation pulse train is revealed by this method. This statistical method eliminates the effects of anesthesia, and provides an objective assessment of MEPs. Consequently this statistical method has high potential to be useful in future quantitative MEPs analysis.

AB - Motor evoked potentials (MEPs) convey information regarding the functional integrity of the descending motor pathways. Absence of the MEP has been used as a neurophysiological marker to suggest cortico-spinal abnormalities in the operating room. Due to their high variability and sensitivity, detailed quantitative studies of MEPs are lacking. This paper applies a statistical method to characterize MEPs by estimating the number of motor units and single motor unit potential amplitudes. A clearly increasing trend of single motor unit potential amplitudes in the MEPs after each pulse of the stimulation pulse train is revealed by this method. This statistical method eliminates the effects of anesthesia, and provides an objective assessment of MEPs. Consequently this statistical method has high potential to be useful in future quantitative MEPs analysis.

UR - http://www.scopus.com/inward/record.url?scp=84055184422&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84055184422&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2011.6090563

DO - 10.1109/IEMBS.2011.6090563

M3 - Conference contribution

C2 - 22254727

SN - 9781424441211

SP - 2001

EP - 2004

BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

ER -