Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries
Joint Authors
Cabrerizo, Mercedes
Vedala, Krishnatej
Motahari, S. M. Amin
Yaylali, Ilker
Goryawala, Mohammed
Adjouadi, Malek
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We present a study and application of quasi-stationarity of electroencephalogram for intraoperative neurophysiological monitoring (IONM) and an application of Chebyshev timewindowing for preconditioning SSEP trials to retain the morphological characteristics ofsomatosensory evoked potentials (SSEP).
This preconditioning was followed by the application of a principal component analysis (PCA)-based algorithm utilizing quasi-stationarityof 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 toextract an SSEP signal, as compared to conventional methods, which take several minutes.
The monitoring process using the algorithm was successful and proved conclusive under theclinical 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 theSSEP signals provide a much improved and effective neurophysiological monitoring process.
American Psychological Association (APA)
Vedala, Krishnatej& Motahari, S. M. Amin& Goryawala, Mohammed& Cabrerizo, Mercedes& Yaylali, Ilker& Adjouadi, Malek. 2014. Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049729
Modern Language Association (MLA)
Vedala, Krishnatej…[et al.]. Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1049729
American Medical Association (AMA)
Vedala, Krishnatej& Motahari, S. M. Amin& Goryawala, Mohammed& Cabrerizo, Mercedes& Yaylali, Ilker& Adjouadi, Malek. Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1049729
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049729