A somatosensory evoked potential monitoring algorithm using time frequency filtering

A new method of detecting somatosensory evoked potentials (SSEP) is proposed using a time-frequency based windowing to enhance the signal to noise ratio (SNR) of the recorded SSEP signals. A sequential computation of maxima and minima was then used to find the location of characteristic positive and...

Full description

Saved in:
Bibliographic Details
Published in2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) pp. 351 - 354
Main Authors Motahari, S. M. Amin, Vedala, Krishnatej, Goryawala, Mohammed, Cabrerizo, Mercedes, Yaylali, Ilker, Adjouadi, Malek
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2013
Subjects
Band-pass filters
Detectors
Electric potential
Monitoring
Neurophysiology
Surgery
Time-domain analysis
Online AccessGet full text

Cover

More Information
Summary:A new method of detecting somatosensory evoked potentials (SSEP) is proposed using a time-frequency based windowing to enhance the signal to noise ratio (SNR) of the recorded SSEP signals. A sequential computation of maxima and minima was then used to find the location of characteristic positive and negative peaks of the SSEP. The algorithm rejects trials with high peak value as they are corrupted with noise. The performance of the proposed algorithm was observed to be within acceptable clinical margins even with the use of only 30 consecutive trials at a time, thus proving to be very efficient for intraoperative neurophysiological monitoring during surgical procedures.
ISSN:1948-3546
1948-3554
DOI:10.1109/NER.2013.6695944