Wearable Seizure Detection and Alert System for Neurodegenerative Patients

Neurodegenerative disorders, such as epilepsy, pose a significant threat to patients quality of life. Seizures can occur unexpectedly, leading to injuries, emotional trauma, and social stigma. The study presents a wearable seizure detection and alert system designed for neurodegenerative patients. Our system utilizes a multimodal sensor approach, incorporating electrodermal activity (EDA) sensors to measure skin conductance, gyroscope and accelerometer sensors for motion detection, and pulse oximetry (SpO2) and heart rate sensors for vital sign monitoring. Machine learning algorithms are employed to analyze the sensor data and detect seizure onset. Upon detection, the system alerts caregivers and emergency services through a mobile application, ensuring timely intervention and support. The results demonstrate the effectiveness of the proposed system in detecting seizures with high accuracy, sensitivity, and specificity. The wearable system has the potential to improve the lives of neurodegenerative patients, enhancing their safety, independence, and overall well-being.