A Smart and Reliable Wearable Design for Seizure Detection

Epileptic seizures are unpredictable neurological disturbances that can lead to severe physical injury or potentially fatal outcomes if not promptly identified. Patients must be closely monitored to ensure their safety and receive medical attention promptly. But traditional ways of finding seizures, like watching someone in a hospital or using an EEG, are often too expensive, take too long, and aren't practical for everyday use. This study proposes an intelligent, portable, and dependable wearable IoT-based seizure detection device for real-time seizure identification, aiming to overcome these limitations. The system uses an ESP32 microcontroller and an MPU6050 gyroscope and accelerometer sensor to find unusual motion patterns that are linked to tonic-clonic seizures. The device uses Wi-Fi to send immediate alerts to caregivers through a mobile app after it finds something. This makes it easier for them to act and respond quickly. The suggested wearable is light, doesn't use much power, and can detect things with up to 95% accuracy, so it will always work. This proposed work moves intelligent healthcare technologies forward by giving people with epilepsy a solution that is practical, affordable, and easy to use.