Sciweavers

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
ENGL
2007
160views more  ENGL 2007»
13 years 4 months ago
Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
R. Sukanesh, R. Harikumar
ISNN
2010
Springer
13 years 6 months ago
Multi-modal EEG Online Visualization and Neuro-Feedback
Brain computer interface (BCI) is a communication pathway between brain and peripheral devices, which is promising in the field of rehabilitation and helps to improve the life qual...
Kan Hong, Liqing Zhang, Jie Li, Junhua Li
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