It has been shown that the area measure of the IMFs has given good discrimination performance. The area measured from the trace of the analytic IMFs, which have circular form in the complex plane, has been used as a feature in order to discriminate normal EEG signals from the epileptic seizure EEG signals. The Hilbert transformation of IMFs provides analytic signal representation of IMFs. The EMD decomposes a EEG signal into a finite set of bandlimited signals termed intrinsic mode functions (IMFs). This paper presents the application of empirical mode decomposition (EMD) for analysis of EEG signals. It is a very effective tool for understanding the complex dynamical behavior of the brain. The electroencephalogram (EEG) is an invaluable measurement for the purpose of assessing brain activities, containing information relating to the different physiological states of the brain. Epilepsy is one of the most common neurological disorders characterized by transient and unexpected electrical disturbance of the brain.
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