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IoT-Driven Cardiorespiratory Health Monitoring and Risk Prediction System for Personalized Preventive Care

Author(s) V. V. Manjula Kumari
Country United States
Abstract Cardiopulmonary disorders, including Atrial Fibrillation (AFib) and Obstructive Sleep Apnea (OSA), are leading causes of mortality worldwide, often remaining undiagnosed until critical stages. This paper presents an innovative health monitoring system utilizing Internet of Things (IoT) technology to measure vital signs such as heart rate, oxygen saturation, electrocardiogram (ECG), and body temperature. The system collects real-time data through wearable sensors and employs advanced data analytics to predict health risks associated with cardiopulmonary conditions. Alerts are generated when abnormal readings are detected, enabling proactive interventions. The system is designed for both individuals and healthcare providers, offering a personalized health dashboard with historical trends, visualizations, and health recommendations. By integrating cloud-based storage and continuous monitoring, the solution provides a novel approach to preventive care and remote health management, empowering users to make informed decisions and seek timely medical advice.
Field Engineering
Published In Volume 5, Issue 12, December 2024
Published On 2024-12-07
Cite This IoT-Driven Cardiorespiratory Health Monitoring and Risk Prediction System for Personalized Preventive Care - V. V. Manjula Kumari - IJLRP Volume 5, Issue 12, December 2024. DOI 10.70528/IJLRP.v5.i12.1594
DOI https://doi.org/10.70528/IJLRP.v5.i12.1594
Short DOI https://doi.org/g9sf66
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