Continuous quantitative motor evoked potentials for spinal cord injury detection

Hongxuan Zhang, Yaseen Oweis, Homayoun Mozaffari-Naeini, Santosh Venkatesha, Nitish V. Thakor, Ananth Natarajan

Research output: Contribution to conferencePaper

Abstract

Motor evoked potential (MEP) monitoring is a complementary approach to directly monitor the integrity of the motor pathway and is another modality designed to ensure the integrity of the spinal cord during surgery. However, conventional interpretation of MEP signal based on amplitude and latency tracking is subjective and not always accurate, and usually a significant learning curve has been demonstrated. Hence, we proposed a quantitative time frequency analysis method, Window Energy Index, for monitoring spinal cord surgery. The preliminary results suggest the proposed analysis has better sensitivity than conventional amplitude analysis.

Original languageEnglish (US)
Pages430-433
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2nd International IEEE EMBS Conference on Neural Engineering, 2005 - Arlington, VA, United States
Duration: Mar 16 2005Mar 19 2005

Other

Other2nd International IEEE EMBS Conference on Neural Engineering, 2005
CountryUnited States
CityArlington, VA
Period3/16/053/19/05

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Zhang, H., Oweis, Y., Mozaffari-Naeini, H., Venkatesha, S., Thakor, N. V., & Natarajan, A. (2005). Continuous quantitative motor evoked potentials for spinal cord injury detection. 430-433. Paper presented at 2nd International IEEE EMBS Conference on Neural Engineering, 2005, Arlington, VA, United States. https://doi.org/10.1109/CNE.2005.1419651