Wearable Seizure Detection Device with Accelerometer and Biosensor

A sudden seizure is a rapid and early abnormality in the electrical activity of the brain that disturbs a part or the entire body. Nearly 60 million people worldwide suffer from various epileptic seizures, which can occasionally trigger cognitive disorders that can cause severe physical injury to the patient. In this study, we present the development and evaluation of a wearable device for seizure detection and classification in epilepsy patients. Epileptic seizures pose significant health risks, requiring instant detection to ensure timely medical intervention. By measuring blood pressure, oxygen saturation, and heart rate with biosensors, a thorough picture of the patient’s condition during a seizure can be obtained. such as temperature, pulse, and accelerometer sensors, to track the physiological indicators linked to seizures. Using machine learning methods, the wearable Device are able to Data from these sensors are processed using advanced algorithms to reliably identify seizure occurrences. The device has the potential to improve patient safety and quality of life by sending out timely signals, according to preliminary research. This strategy emphasizes how crucial easily accessible seizure monitoring tools are to contemporary healthcare.