Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability-What We Know and What Is Coming

Area of Science:

• Cardiology and Health Technology Assessment
• Biomedical Engineering and Signal Processing

Background:

• Resting and exercise heart rate, along with heart rate variability (HRV), are established indicators of cardiovascular risk.
• HRV reflects autonomic nervous system balance and is linked to adverse cardiovascular events.
• Technological advancements have propelled the growth of remote health monitoring systems.

Purpose of the Study:

• To review the fundamental principles of cardiac signal generation and acquisition.
• To evaluate the capabilities and limitations of wearable devices for cardiac monitoring.
• To explore the integration of artificial intelligence (AI) and cloud-based systems in remote cardiac monitoring.

Main Methods:

• Review of scientific literature on cardiac signal processing and wearable technology.
• Comparative analysis of commercial and medical-grade diagnostic devices regarding accuracy and usability.
• Discussion of AI and cloud-based remote monitoring system architectures and functionalities.

Main Results:

• Wearable devices demonstrate promising reliability and value for cardiac monitoring.
• Both commercial and medical-grade devices show potential for accurate, easy-to-use applications.
• AI and cloud platforms are enhancing data processing, patient convenience, and data security in remote monitoring.

Conclusions:

• Wearable technology, particularly when integrated with AI and cloud solutions, offers a reliable and convenient approach to remote cardiac monitoring.
• These systems have the potential to significantly improve cardiovascular risk prediction and patient management.
• Further development in this area promises enhanced patient outcomes and healthcare efficiency.