AI-Driven Heart Attack and Blood Flow Restriction Prediction Using A Smart Band Integrated with Wearable Sensors

Gobinath R., Shahana K., Rajeshwari R., Fahumitha Afrose, Fathima Fazlina M., Durga Devi S.

2025

Abstract

Cardiovascular diseases remain a leading cause of mortality worldwide, often due to the lack of timely detection and intervention. Wearable health monitoring devices have emerged as crucial tools for continuous health tracking and early risk detection. This study introduces Aura Wear, a smart wearable designed to predict heart attack risk and detect blood flow restriction in real-time. The aim is to provide users with early warnings, empowering them to take preventive measures and improve overall well-being. The device integrates multi-sensor technology, including Near-Infrared Spectroscopy, Tissue Perfusion, Heart Rate, Oxygen Saturation, Blood Pressure, Stress Level, and Physical Activity sensors. Gradient Boosting is employed for current risk detection while the wearable is worn whereas LSTM networks predict future risk when the device is not worn. The platform analyses sensor data collected over a 3-4-hour period to predict heart attack risk for the next 20 hours. For blood flow restriction detection, a Gradient Boosting classifier evaluates instantaneous variations in heart rate, oxygen saturation, and perfusion index, ensuring accurate identification. The model demonstrated 80% accuracy for cardiac attack risk forecasting by testing medical datasets. With our application, it successfully notified instantaneous alerts when health parameters deviated from normal thresholds, enabling timely intervention. Aura Wear bridges the gap between conventional wellness tracking and proactive support through offering continuous well-being insights. The device empowers users to manage their health more effectively, potentially reducing the risk of life-threatening conditions.

Paper Citation

in Harvard Style

R. G., K. S., R. R., Afrose F., M. F. and S. D. (2025). AI-Driven Heart Attack and Blood Flow Restriction Prediction Using A Smart Band Integrated with Wearable Sensors. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 716-722. DOI: 10.5220/0013888900004919

in Bibtex Style

@conference{icrdicct`2525,
author={Gobinath R. and Shahana K. and Rajeshwari R. and Fahumitha Afrose and Fathima M. and Durga S.},
title={AI-Driven Heart Attack and Blood Flow Restriction Prediction Using A Smart Band Integrated with Wearable Sensors},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={716-722},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013888900004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI-Driven Heart Attack and Blood Flow Restriction Prediction Using A Smart Band Integrated with Wearable Sensors
SN - 978-989-758-777-1
AU - R. G.
AU - K. S.
AU - R. R.
AU - Afrose F.
AU - M. F.
AU - S. D.
PY - 2025
SP - 716
EP - 722
DO - 10.5220/0013888900004919
PB - SciTePress