Eliminating diathermy-induced artifacts during intraoperative monitoring of somatosensory-evoked potentials: A hardware solution

1991 ◽  
Vol 7 (4) ◽  
pp. 320-324 ◽  
Author(s):  
Cor J. Kalkman ◽  
Kees Romijn ◽  
Wim Denslagen
Keyword(s):  
Evoked Potentials ◽  
Somatosensory Evoked Potentials ◽  
Intraoperative Monitoring

Combined motor and somatosensory evoked potentials for intraoperative monitoring: intra- and postoperative data in a series of 69 operations

2007 ◽  
Vol 30 (2) ◽  
pp. 109-116 ◽  
Author(s):  
M. R. Weinzierl ◽  
P. Reinacher ◽  
J. M. Gilsbach ◽  
V. Rohde
Keyword(s):  
Evoked Potentials ◽  
Somatosensory Evoked Potentials ◽  
Intraoperative Monitoring

Considerations after intraoperative monitoring of somatosensory evoked potentials during carotid endarterectomy

1989 ◽  
Vol 10 (3) ◽  
pp. 315-320 ◽  
Author(s):  
L. Carenini ◽  
E. Bottacchi ◽  
M. Camerlingo ◽  
A. Mamoli
Keyword(s):  
Evoked Potentials ◽  
Carotid Endarterectomy ◽  
Somatosensory Evoked Potentials ◽  
Intraoperative Monitoring

Intraoperative monitoring during carotid surgery with somatosensory evoked potentials and transcranial Doppler

1995 ◽  
Vol 3 ◽  
pp. 89-89
Author(s):  
S HORSCH ◽  
K KTENIDIS ◽  
S RICKE ◽  
K HEYE ◽  
C KONSTANTIS
Keyword(s):  
Evoked Potentials ◽  
Somatosensory Evoked Potentials ◽  
Transcranial Doppler ◽  
Intraoperative Monitoring ◽  
Carotid Surgery

Intraoperative Monitoring of Median Nerve Somatosensory Evoked Potentials in Cervical Syringomyelia: Analysis of 28 Cases

1995 ◽  
Vol 38 (01) ◽  
pp. 27-31 ◽  
Author(s):  
W. Wagner ◽  
A. Perneczky ◽  
J. Mäurer ◽  
N. Hüwel
Keyword(s):  
Evoked Potentials ◽  
Median Nerve ◽  
Somatosensory Evoked Potentials ◽  
Intraoperative Monitoring

scholarly journals Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Krishnatej Vedala ◽  
S. M. Amin Motahari ◽  
Mohammed Goryawala ◽  
Mercedes Cabrerizo ◽  
Ilker Yaylali ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Evoked Potentials ◽  
Surgical Procedures ◽  
Somatosensory Evoked Potentials ◽  
Execution Time ◽  
Intraoperative Monitoring ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Neurophysiological Monitoring ◽  
Monitoring Process

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.

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