An Intelligent and Wearable Epileptic Seizure Detection Device

Epilepsy is an abnormal electrical activity of the central nervous system in the brain and results in seizures. Unpredictable seizure occurrence rates exist and temporary loss of consciousness and sudden loss of body control in the patient. This can result in serious or minor injury. Prevention of injury is crucial in lowering patient risk. In this work, an intelligent device is proposed to predict the onset of seizure, preventing the fall or injury. The real-time epileptic seizure detection proposed by this work makes use of Galvanic Skin Response (GSR), temperature, pulse sensor and accelerometer. The features are extracted from the sensor data. These features are compared with the predefined threshold value using a machine learning algorithm. Once the input exceeds the threshold an alert is initiated to the nearby public. This prototype is designed to be a glove. Hence the proposed device is designed to be wearable and aid quick prediction of seizure with an alert system.