Continuous Quantitative Motor Evoked Potentials for Spinal Cord Injury Detection

Author

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

Author_Institution

Infinite Biomedical Technol., Baltimore, MD

fYear

2005

fDate

16-19 March 2005

Firstpage

430

Lastpage

433

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

Keywords

bioelectric potentials; medical signal detection; medical signal processing; neurophysiology; patient monitoring; surgery; time-frequency analysis; continuous quantitative motor evoked potentials; motor pathway integrity; quantitative time frequency analysis; spinal cord injury detection; spinal cord integrity; spinal cord surgery monitoring; window energy index; Biomedical monitoring; Continuous wavelet transforms; Delay; Information analysis; Signal analysis; Spinal cord; Spinal cord injury; Surgery; Time frequency analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-8710-4

Type

conf

DOI

10.1109/CNE.2005.1419651

Filename

1419651