Continuous quantitative motor evoked potentials for spinal cord injury detection

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

doi:10.1109/CNE.2005.1419651

Continuous quantitative motor evoked potentials for spinal cord injury detection

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

School of Medicine

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

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 language	English (US)
Pages	430-433
Number of pages	4
DOIs	https://doi.org/10.1109/CNE.2005.1419651
State	Published - Dec 1 2005
Event	2nd International IEEE EMBS Conference on Neural Engineering, 2005 - Arlington, VA, United States Duration: Mar 16 2005 → Mar 19 2005

Other

Other	2nd International IEEE EMBS Conference on Neural Engineering, 2005
Country/Territory	United States
City	Arlington, VA
Period	3/16/05 → 3/19/05

ASJC Scopus subject areas

General Engineering

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10.1109/CNE.2005.1419651

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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.",

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AU - Zhang, Hongxuan

AU - Oweis, Yaseen

AU - Mozaffari-Naeini, Homayoun

AU - Venkatesha, Santosh

AU - Thakor, Nitish V.

AU - Natarajan, Ananth

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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T2 - 2nd International IEEE EMBS Conference on Neural Engineering, 2005

Y2 - 16 March 2005 through 19 March 2005

ER -

Continuous quantitative motor evoked potentials for spinal cord injury detection

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