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2010 17th Iranian Conference of Biomedical Engineering (ICBME)
This study proposes a three stages technique for automatic detection of epileptic seizure in EEG signals. In practical application of pattern recognition, there are often diverse features extracted from raw data which needs to be recognized. Proposed method is based on time series signal, spectral analysis and recurrent neural networks (RNNs). Decision making was performed in three stages:(i)feature extraction using Welch method power spectrum density estimation (PSD) (ii)dimensionalitydoi:10.1109/icbme.2010.5704931 fatcat:633x2ae265bffasn6cshm2b7qm