[Wearable Smart Cardiac Care: Take Vipasyana for Example]

Area of Science:

• Biomedical Engineering
• Computer Science
• Health Informatics

Background:

• Taiwan faces a healthcare worker shortage due to an aging population.
• Integrating advanced technologies like AI, IoT, and 5G can enhance healthcare efficiency and patient management.
• Telecare and innovative service models are crucial for modern healthcare systems.

Purpose of the Study:

• To develop a wearable smart cardiac care system, Vipasyana, to address healthcare challenges in aging populations.
• To leverage machine learning for early detection and prediction of critical cardiac events.
• To create a comprehensive system for real-time data management and user-friendly monitoring for medical staff.

Main Methods:

• Development of a wireless wearable electrocardiograph.
• Implementation of machine learning algorithms for cardiac emergency detection (myocardial infarction, ventricular tachycardia/fibrillation, heart failure).
• Integration of a big data real-time streaming framework (Apache Storm, microservices), a mobile app, and a virtual reality 3D ward round system.

Main Results:

• The Vipasyana system successfully integrates a wearable ECG with AI-powered detection and prediction capabilities.
• A robust big data framework and user-friendly interfaces (mobile app, VR system) were developed for real-time monitoring and management.
• The system is designed to provide precision medical services for individual patient care.

Conclusions:

• The Vipasyana system offers a technologically advanced solution to healthcare worker shortages and the demands of an aging population.
• This integrated system enhances healthcare efficiency, facilitates cross-disciplinary cooperation, and improves patient health management.
• The system demonstrates the potential of wearable technology and AI in delivering personalized and effective cardiac care.