Epilepsy is a neurological disorder disease that affects the central nervous system of the human brain that can disrupt the activity of the nervous cells in the brain which will result in unusual behavior that can lead to loss of consciousness called epileptic seizure that can endanger the life of the patient. Therefore, automated epilepsy seizure detection is the solution to the limitation and time consuming of manual epilepsy monitoring and detection using EEG signals. Thus, using MATLAB R2014b, we developed a technique for epilepsy seizure detection using EEG signals, and we achieved an accuracy of 97%. For our main contribution, we developed an Android-based smartphone application for monitoring epilepsy detection based on the classification results of the EEG signal. A notification will be sent to the patient, doctors, and family members when an epilepsy seizure occurs. Once the EEG signal is classified as epileptic, the App will display a visual notification indicating that Epileptic Seizure has been detected. Moreover, it will trigger an alarm and send a message notification to all associated phone numbers. The main goal of our research is to develop an APP that will read the signal from the brain through a Bluetooth device, and process the signal on the APP to determine if it is normal or abnormal.
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