Epileptic Seizure Detection Using Wavelets and EMD

Complex information about the brain dynamics is given by Electroencephalography (EEG). For identifying epileptic seizures, skilled interpreters are required and it is difficult. Unexpected occurrence of seizure disturbs the quality of life and causes physical damage. This paper uses methods such as Discrete Wavelet Transform and Empirical Mode Decomposition for extraction of features from EEG and detection of epilepsy. This paper describes what wavelet is chosen for analysis and why is it suitable for this study. It also talks about the number of levels of decomposition of the wavelet and why. EMD is another tool used for signal decomposition. The Detection of epileptic seizures using wavelets and EMD gave results of good accuracy of over 92% for single and multiple subjects. It can be used as a clinical application for the diagnosis and effective epilepsy management.