Detection of Epileptic Seizures using Wireless Sensor Network and IoT

Abstract

Epilepsy is a neural disorder that occurs due to electrical disturbances in the brain. It is a very tough job to predict the occurrence of seizures, and this is the prominent reason why the time medical staff is not available to reach out to patients and provide the proper care needed by them. Hence, this causes several harm to epileptic patients like falling from bed, several head injuries, unconsciousness, etc. This paper mainly enlightens the role of Wireless Sensor Networks in Health-based monitoring systems. The major focus of this paper is on epileptic patients that have frequent seizures. The concern for these patients led to the need for autonomous data handling and predicting system that collects data and forecasts the occurring frequency of seizures in a day by processing the collected data and comparing it with the past data. This paper involves using the domain area of WSN’s which enables various wirelessly connected sensors to communicate with each other. The project assembled as an outcome of this research involves Accelerometer, HR sensors, an MCC unit, a cloud platform, Microcontroller board.