This paper introduces a comprehensive real-time health monitoring system that leverages Apple Watch data via Apple HealthKit to provide medicine doctors with continuous patient insights. The system follows a 3-tier architecture, incorporating an iOS application for data collection, a backend built using Spring Boot, and a frontend developed with React. The iOS application retrieves health metrics such as heart rate and blood oxygen levels, which are securely transmitted to the backend. The backend filters the incoming data to eliminate noise and minor fluctuations, ensuring that only accurate and meaningful health metrics are stored in MySQL database. The frontend offers a secure and intuitive interface for medicine doctors, employing Material UI components to present health data visually and provide easy navigation. Secure authentication is achieved through JWT tokens, protecting patient data and system access. A built-in messaging feature further enhances the system by enabling direct doctor-patient communication, allowing medicine doctors to provide timely feedback and guidance. This integrated architecture provides a scalable, secure, and efficient solution for remote patient monitoring, empowering healthcare professionals to make informed decisions based on comprehensive real-time data.

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System Architecture for Real-Time Health Monitoring Using Apple Watch and HealthKit

  • Pavol Adamík,
  • Matúš Mištrik,
  • Alexander Krajči,
  • Marek Kvet

摘要

This paper introduces a comprehensive real-time health monitoring system that leverages Apple Watch data via Apple HealthKit to provide medicine doctors with continuous patient insights. The system follows a 3-tier architecture, incorporating an iOS application for data collection, a backend built using Spring Boot, and a frontend developed with React. The iOS application retrieves health metrics such as heart rate and blood oxygen levels, which are securely transmitted to the backend. The backend filters the incoming data to eliminate noise and minor fluctuations, ensuring that only accurate and meaningful health metrics are stored in MySQL database. The frontend offers a secure and intuitive interface for medicine doctors, employing Material UI components to present health data visually and provide easy navigation. Secure authentication is achieved through JWT tokens, protecting patient data and system access. A built-in messaging feature further enhances the system by enabling direct doctor-patient communication, allowing medicine doctors to provide timely feedback and guidance. This integrated architecture provides a scalable, secure, and efficient solution for remote patient monitoring, empowering healthcare professionals to make informed decisions based on comprehensive real-time data.