Quasi-stationarity of EEG for intraoperative monitoring during spinal surgeries.
We present a study and application of quasi-stationarity of electroencephalogram for intraoperative neurophysiological monitoring (IONM) and an application of Chebyshev time windowing for preconditioning SSEP trials to retain the morphological characteristics of somatosensory evoked potentials (SSEP). This preconditioning was followed by the application of a principal component analysis (PCA)-based algorithm utilizing quasi-stationarity of EEG on 12 preconditioned trials. This method is shown empirically to be more clinically viable than present day approaches. In all twelve cases, the algorithm takes 4 sec to extract an SSEP signal, as compared to conventional methods, which take several minutes. The monitoring process using the algorithm was successful and proved conclusive under the clinical constraints throughout the different surgical procedures with an accuracy of 91.5%. Higher accuracy and faster execution time, observed in the present study, in determining the SSEP signals provide a much improved and effective neurophysiological monitoring process.
Center for Advanced Technology and Education, FIU College of Engineering and Computing, Room Number EC2672, 10555 West Flagler Street, Miami, FL 33174, USA.
Krishnatej
0000-0002-0119-6063
K
Vedala
Center for Advanced Technology and Education, FIU College of Engineering and Computing, Room Number EC2672, 10555 West Flagler Street, Miami, FL 33174, USA.
S M Amin
SM
Motahari
Center for Advanced Technology and Education, FIU College of Engineering and Computing, Room Number EC2672, 10555 West Flagler Street, Miami, FL 33174, USA.
Mohammed
0000-0002-6875-2191
M
Goryawala
Center for Advanced Technology and Education, FIU College of Engineering and Computing, Room Number EC2672, 10555 West Flagler Street, Miami, FL 33174, USA.
Mercedes
0000-0002-0302-7300
M
Cabrerizo
Department of Clinical Neurophysiology, Oregon Health and Science University, Portland, OR 97239-3098, USA.
Ilker
I
Yaylali
Center for Advanced Technology and Education, FIU College of Engineering and Computing, Room Number EC2672, 10555 West Flagler Street, Miami, FL 33174, USA.
Malek
0000-0001-5380-3155
M
Adjouadi
D000465:Algorithms; D004569:Electroencephalography / Q000379:methods*; D005073:Evoked Potentials, Somatosensory; D006801:Humans; D002532:Intracranial Aneurysm / Q000601:surgery; D016343:Monitoring, Intraoperative / Q000379:methods*; D019635:Neurosurgical Procedures; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013131:Spine / Q000601:surgery