EPILEPTIC SEIZURE PREDICTION AND ALERT SYSTEM

Epilepsy is a neurological disease that is a disorder caused in central nervous system of the brain which is characterized by loss of consciousness, abnormal heart rate, convulsions etc.,. Epileptic seizures are caused due to abnormal electrical discharges in brain. Approximately 50 million people around the world are diagnosed with epilepsy, and old people in the age range 65-70 years old are affected the most. The main objective of this proposed system is to develop the real-time monitoring and alert system to help epilepsy affected persons in their day to day activities in life. The proposed model predicts the epileptic seizures in epileptic patients before it occurs and detect at early stages after its occurrence and provide an alert to the doctors and caretakers regarding the occurrence and severity. Early prediction of epileptic seizures ensures enough time before it actually occurs; it is very useful because the attack can be avoided by the drug. To implement all the above process four modules are used. They are sensors module which consists of heartbeat, GSR and accelerometer sensors, ARDUINO module, GSM module to send an SMS, and GPS module to track the location of the patient.