Sistema para identificação e monitoramento das características de crises epilépticas integrado ao aplicativo Telegram

This work presents the development of a prototype for the detection and prediction of epileptic seizures, with the goal of improving the quality of life for people with epilepsy (PWE). Epilepsy is a neurological condition that affects millions of people worldwide and often requires continuous monitoring due to the risk of sudden and debilitating seizures. The main goal of this project is to develop a device capable of identifying epileptic seizures through the analysis of biomarkers, primarily heart rate variation, and additionally via self-report. The system should record information that supports the classification of seizure types, as well as emit sound alerts and send messages to Telegram. The prototype uses sensors to monitor heart rate, detecting significant variations that occur before or during seizures. Data about muscle stiffness and movements are also collected to help classify the type of seizure. Communication between the device and caregivers is facilitated by the Telegram application, a messaging platform widely used worldwide, allowing for the immediate sending of alerts and enhancing the safety of PWE. The methods applied involve the use of low-cost and easily programmable microcontrollers, integrated with physiological sensors for real-time data collection. Seizure detection triggers sound alerts and sends instantaneous notifications to Telegram groups, which include family members, caregivers, and healthcare professionals. This system guarantees a quick response in emergency situations, increasing the safety of PWE. The results show that the device is capable of identifying simulated epileptic seizures effectively and emitting timely alerts. Analysis of the collected data enables a more accurate diagnosis, allowing for personalized adjustments in treatment. The ability to predict seizures a few seconds or minutes in advance provides greater autonomy for PWE, reducing the social and psychological impact of unexpected seizures. In conclusion, the development of this prototype represents a significant advancement in the monitoring of epileptic seizures. Integration with Telegram facilitates rapid and efficient communication between the device and caregivers, contributing to more agile medical interventions and the prevention of severe complications, such as sudden unexpected death in epilepsy (SUDEP). Future improvements will include miniaturizing the device, implementing more accurate sensors, and conducting clinical testing to validate its effectiveness in hospital and home environments.