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.