Title :
A survey on soft computing techniques in epileptic seizure detection
Author :
Prince, P. Grace Kanmani ; Hemamalini, Rani
Author_Institution :
Sathyabama Univ., Chennai, India
Abstract :
This paper provides a survey of different soft computing methods used in epileptic seizure detection from the EEG signal of the patient. The soft computing algorithms discussed here are Neural Network, fuzzy logic and probabilistic reasoning. The methodology, application and accuracy of each method are analyzed.
Keywords :
electroencephalography; fuzzy logic; inference mechanisms; medical signal processing; neural nets; seizure; EEG signal; electroencephalogram; epileptic seizure detection; fuzzy logic; neural network; probabilistic reasoning; soft computing techniques; Accuracy; Artificial neural networks; Electroencephalography; Feature extraction; Probabilistic logic; Signal resolution; Time frequency analysis; Electroencephalogram (EEG); Epilepsy; seizure; soft computing;
Conference_Titel :
Emerging Trends in Robotics and Communication Technologies (INTERACT), 2010 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-9004-2
DOI :
10.1109/INTERACT.2010.5706183
