Artificial Intelligence in Remote Cardiac Monitoring: Advancing Wearable Technologies for Heart Disease Management

Abstract

Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide, necessitating continuous and reliable monitoring strategies. Artificial Intelligence (AI)-enabled wearable devices have emerged as transformative tools in remote cardiac care, facilitating real-time monitoring of physiological parameters such as heart rate, electrocardiogram (ECG) signals, physical activity, and rhythm variability. These smart systems enable early detection of cardiac abnormalities including arrhythmias, heart failure, and other rhythm disorders, allowing patients to receive continuous supervision while remaining in home settings. AI algorithms analyse large volumes of daily health data to identify subtle deviations and predict potential adverse events, thereby supporting timely medical intervention. Additionally, remote monitoring enhances evaluation of therapeutic efficacy by tracking patient response to medications and lifestyle modifications. This approach reduces hospital visits, optimizes clinical decision-making, and promotes patient-centred care. Despite its potential, challenges persist, including limited long-term validation studies, data privacy and cybersecurity concerns, inconsistent internet connectivity, limited integration with electronic health records, and patient adherence issues. Addressing these barriers through robust clinical validation, secure data frameworks, regulatory clarity, and patient education is essential for widespread adoption. Overall, AI-driven wearable technologies represent a significant advancement in precision cardiology, offering scalable, efficient, and proactive solutions for improved cardiovascular health management.