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» High Accuracy Classification of EEG Signal
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ICPR
2004
IEEE
14 years 5 months ago
High Accuracy Classification of EEG Signal
Improving classification accuracy is a key issue to advancing brain computer interface (BCI) research from laboratory to real world applications. This article presents a high accu...
Chng Eng Siong, Cuntai Guan, Jiankang Wu, M. Thula...
ICASSP
2011
IEEE
12 years 8 months ago
Dispersion measures and entropy for seizure detection
Electroencephalogram (EEG) is an important technique for detecting epileptic seizures. In this paper a method of classification of EEG signal into normal, interictal and ictal cla...
M. Bedeeuzzaman, Omar Farooq, Yusuf U. Khan
CBMS
2007
IEEE
13 years 4 months ago
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...
Alexandros T. Tzallas, Markos G. Tsipouras, Dimitr...
ICMLA
2009
13 years 2 months ago
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms....
Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumer...
ISCAS
2007
IEEE
152views Hardware» more  ISCAS 2007»
13 years 10 months ago
Reduced Complexity Space-Time-Frequency Model for Multi-Channel EEG and Its Applications
— Searching for an efficient summarization of multi-channel electroencephalogram (EEG) behavior is a challenging signal analysis problem. Recently, parallel factor analysis (PAR...
Yodchanan Wongsawat, Soontorn Oraintara, K. R. Rao