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An IoT-Based Computational Framework for Healthcare Monitoring in Mobile Environments.

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Summary
This summary is machine-generated.

This study introduces an Internet of Things (IoT) framework for real-time monitoring of biomedical signals during physical exertion. The flexible system uses body area network resources to predict health issues and injuries in athletes.

Keywords:
Internet of Thingscase studieshealthcare monitoringsensor networkwearable sensing

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Area of Science:

  • Biomedical Engineering
  • Internet of Things (IoT)
  • Wearable Technology

Background:

  • The Internet of Things (IoT) paradigm enables the development of interconnected devices with sensing, processing, and communication capabilities.
  • Monitoring human biomedical signals, especially during physical exertion, requires flexible and efficient data acquisition and processing systems.

Purpose of the Study:

  • To propose a distributed IoT framework for monitoring human biomedical signals during physical exertion.
  • To leverage the flexibility of body area network resources for health application computing.
  • To demonstrate the framework's applicability in mobile environments with intensive data needs.

Main Methods:

  • Development of a distributed framework utilizing the IoT paradigm.
  • Integration of sensors and embedded devices within a user's body area network.
  • Case study involving real-time heart rate monitoring of footballers during a match.

Main Results:

  • The proposed framework demonstrated flexibility in computing health applications using distributed resources.
  • Real-time biomedical data acquisition was successfully achieved in a practical scenario (football match).
  • The system's potential for predicting sudden death and sports-related injuries was highlighted.

Conclusions:

  • The proposed IoT framework offers a flexible and efficient solution for monitoring biomedical signals during physical activities.
  • The system's adaptability makes it suitable for various mobile environments requiring high data processing.
  • This technology holds significant potential for improving athlete safety and health management.