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Keywords: electroencephalography
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Journal Articles

An Approach to Seizure Onset Detection Using Fuzzy Logic Based on Seizure Evolution in Intracranial EEG

Ahmed Rabbi, Reza Fazel-Rezai
Journal: Journal of Medical Devices
Publisher: ASME
Article Type: Design Of Medical Devices Conference Abstracts
J. Med. Devices. June 2011, 5(2): 027537.
https://doi.org/10.1115/1.3591388
Published Online: June 15, 2011
...Ahmed Rabbi; Reza Fazel-Rezai 15 06 2011 15 06 2011 electroencephalography feature extraction fuzzy logic medical disorders medical signal detection neurophysiology We present a fuzzy rule-based system for epileptic seizure onset detection. Two features based...
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Topics: Electroencephalography, Fuzzy logic, Feature extraction, Medical disorders, Medical signal detection, Neurophysiology
Journal Articles

Determining the Region Accuracy of a Region-Based P300 Speller Paradigm

Waqas Ahmad, Scott Gavett, Eric Schneider, Reza Fazel-Rezai
Journal: Journal of Medical Devices
Publisher: ASME
Article Type: Design Of Medical Devices Conference Abstracts
J. Med. Devices. June 2011, 5(2): 027540.
https://doi.org/10.1115/1.3591405
Published Online: June 15, 2011
...Waqas Ahmad; Scott Gavett; Eric Schneider; Reza Fazel-Rezai 15 06 2011 15 06 2011 brain-computer interfaces electroencephalography handicapped aids natural language interfaces natural language processing visual evoked potentials Since the brain-computer interface (BCI...
View Article titled, Determining the Region Accuracy of a Region-Based P300 Speller Paradigm
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Topics: Brain, Computers, Electroencephalography, Natural language interfaces, Natural language processing, Visual evoked potentials
Journal Articles

Seizure Prediction With Spectral Power of EEG Using Cost-Sensitive Support Vector Machines

Yun Park, Theoden Netoff, Keshab Parhi
Journal: Journal of Medical Devices
Publisher: ASME
Article Type: Design Of Medical Devices Conference Abstracts
J. Med. Devices. June 2010, 4(2): 027542.
https://doi.org/10.1115/1.3455144
Published Online: August 12, 2010
...-ictal recordings. Classification with the feature obtained from time/space-differential ECoG demonstrates the performance of 86.25% sensitivity and 0.1281 false positives per hour in out-of-sample testing. electroencephalography medical signal processing pattern classification support vector...
View Article titled, Seizure Prediction With Spectral Power of EEG Using Cost-Sensitive Support Vector Machines
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Topics: Electroencephalography, Support vector machines