A Daily-Wear CPR Support Device with AI-Based Heart Attack and Stroke Prediction System

Author(s)	Mr. Chalamala Sri Sairam
Country	India
Abstract	Ischemic strokes, myocardial infarction, and sudden cardiac arrest continue to be serious worldwide health issues. A large number of losses are caused by delayed diagnosis, a lack of early symptoms, and delayed cardiopulmonary resuscitation (CPR). Current wearable technology can not provide real-time CPR or anticipate emergencies, but it does offer basic monitoring. In this study, a novel daily-wear CPR support device that integrates ECG, PPG, BP, SpO₂, temperature, and IMU sensors is proposed. It is constructed as a lightweight banyan-style band. The gadget predicts heart attacks and strokes using AI models (CNN, LSTM, Random Forest). During collapse or pulse absence, a vibration-based CPR guidance and a special tiny air-pouch CPR aid mechanism immediately operate. IoT-based alerting is part of the system to alert emergency services and family. By lowering the critical response time and providing ongoing monitoring, the suggested method increases survival rates.
Keywords	IoT wearables, emergency alert systems, wearable CPR devices, AI in healthcare, ECG monitoring, heart attack prediction, and stroke detection
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-07
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.62803

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