Ahmad Mirzaei

  abstract

  Epilepsy is a common neurological disorder, offering 1% of people around the world. No certain cure has yet been found for this brain problem. Nearly 75% of all patients are brought to a normal state with anti epilepsy medicines or by neurosurgery. For the last decades many studies have been conducted in order to determine the onset of an epilepsy seizure. EEG signals are useful means for this purpose. EEG signals are recorded periods of brain activities in a definite long duration. Traditional methods of diagnosis based on Trial and error for their time inefficiency have become a boring procedure while a high rate of failure. Obviously such error and miss diagnosis have adverse effects of healing procedure. This work is a simulation study using hybrid methods of wavelet-entropy to detect the onset of a seizure.

  Entropy parameters are chaotic which measures the amount of randomness in EEG signals.

  Date: 22/4/89 Time: 16

  Place: School of Electrical Eng. Seminar Room