Paper Key : IRJ************845
Author: Tiyyaguara Naga Pavan Reddy,Ms.t.indra Deepika,Shaik Sajjad Ahmed,Pitani Kuswanth,Thota Durga Raghuveer
Date Published: 13 Apr 2025
Abstract
Epilepsy, a long-term neurological disorder, is characterized by sudden seizures that can cause severe health hazards, such as physical injury or even death due to unexpected complications. Traditional emergency measures tend to rely on human observation, which can be inconvenient or delayed, particularly in remote settings. This highlights the urgent need for an automated, reliable system to detect seizure activity early and alert supporting groups, thus improving the security and quality of life for individuals with this disorder. Our system presents a new alert and communication system, developed on an Arduino platform, to solve these problems. The device uses a MEMS sensor to identify abnormal patterns of movement characteristic of a seizure, a GPS module to locate the person's precise location, and a GSM module to send emergency messages with location information to specified parties. It also includes an audible alarm to alert surrounding people and an LCD panel to show real-time system activity, making a strong emergency response network. This budget-friendly and streamlined method represents a considerable step forward in treating epilepsy emergencies by providing swift help in times of need. Utilizing wearable technology and automated alerts, the system eliminates risk delays while simplifying accessibility. Validated through effectiveness and usability testing, this technology opens doors to wider implementation in intelligent healthcare, and better safety and care for epilepsy sufferers are guaranteed.Keywords: Epilepsy, Seizure Detection, Emergency Response, MEMS Sensor, GPS Module, GSM Module, Arduino Uno, Node MCU, LCD Screen, Buzzer
DOI Requested