The relationship between the need for high-quality treatment and the growing expense of healthcare is explored with remote patient monitoring (RPM) as a workable option. The report highlights the potential of remote patient monitoring to reduce costs while maintaining quality care, with a particular emphasis on patients who require continuous vital sign monitoring, such as those managing chronic diseases. A novel model is presented that aims to provide a user-friendly platform for communication. With the use of eye movement analysis powered by MediaPipe framework, this system offers people with restricted motor skills or verbal difficulties a more effective way to communicate. This initiative, which has its roots in Internet of Things technology, offers flexible and inclusive solutions for health monitoring and communication by combining physiological sensors, computer vision algorithms and IOT infrastructure. For a variety of stakeholders, including healthcare professionals, legislators, and academics looking to capitalize on the benefits of remote patient monitoring (RPM), the findings presented in this study provide priceless insights.

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Remote Health Monitoring for Empowering Patients with Intelligent Wearables

  • Arunachalam Manikandan,
  • P. Kishore Prashanth,
  • Selvi Ravindran,
  • B. Senthilnayaki

摘要

The relationship between the need for high-quality treatment and the growing expense of healthcare is explored with remote patient monitoring (RPM) as a workable option. The report highlights the potential of remote patient monitoring to reduce costs while maintaining quality care, with a particular emphasis on patients who require continuous vital sign monitoring, such as those managing chronic diseases. A novel model is presented that aims to provide a user-friendly platform for communication. With the use of eye movement analysis powered by MediaPipe framework, this system offers people with restricted motor skills or verbal difficulties a more effective way to communicate. This initiative, which has its roots in Internet of Things technology, offers flexible and inclusive solutions for health monitoring and communication by combining physiological sensors, computer vision algorithms and IOT infrastructure. For a variety of stakeholders, including healthcare professionals, legislators, and academics looking to capitalize on the benefits of remote patient monitoring (RPM), the findings presented in this study provide priceless insights.