• Dr.Prathibha Kiran
• Dr.S.Jagadeesha
• Bhavya J
• Harshitha k
• Bharath Kumar P N

Paroxysms, which are sudden episodes of abnormal activity or symptoms, can occur unpredictably and may lead to severe health consequences if not detected in time. This project proposes the design and development of a Smart Paroxysm Prediction Device using ESP8266 and MATLAB to continuously monitor vital physiological parameters and predict abnormal conditions leading to paroxysms. The system integrates heart rate, Galvanic Skin Response (GSR), temperature, and ECG sensors with an ESP8266 microcontroller. Sensor readings are displayed on an LCD screen, transmitted wirelessly to MATLAB, and processed using a fine decision tree machine learning algorithm to determine whether the parameters indicate normal or abnormal conditions. Additionally, an SOS button and GPS module are integrated for emergency alerts and real-time location tracking. Sensor data and prediction results are also sent to the ThingSpeak IoT platform for continuous monitoring and visualization, enabling proactive healthcare interventions

IoT-Based Wearable Device,Heart Rate Variability(HRV),SpO₂Monitoring,GalvanicSkin Response (GSR),SOS Alert System,AI-Powered Prediction

"Smart Paroxysm Prediction System and Life Saver system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.c456-c461, November-2025, Available :http://www.jetir.org/papers/JETIR2511254.pdf

"Smart Paroxysm Prediction System and Life Saver system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppc456-c461, November-2025, Available at : http://www.jetir.org/papers/JETIR2511254.pdf