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» Dispersion measures and entropy for seizure detection
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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
FSKD
2005
Springer
212views Fuzzy Logic» more  FSKD 2005»
13 years 10 months ago
Application of Fuzzy Similarity to Prediction of Epileptic Seizures Using EEG Signals
The prediction of epileptic seizures is a very attractive issue for all patients suffering from epilepsy in EEG (electroencephalograph) signals. It can assist to develop an interve...
Xiaoli Li, Xin Yao
NOMS
2010
IEEE
251views Communications» more  NOMS 2010»
13 years 3 months ago
Online detection of utility cloud anomalies using metric distributions
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...
Chengwei Wang, Vanish Talwar, Karsten Schwan, Part...