Scholarlink

This article discusses the proposed study for the completion of a Ph.D. thesis. A system to remotely monitor patient progress in rehabilitation using IoT devices and mobile platforms is proposed. This system feeds advanced artificial intelligence (AI) algorithms and techniques such as federated learning. Additionally, real-time posture estimation with computer vision is implemented. This set of technologies enables accurate monitoring of rehabilitation exercises without the need for constant supervision. This approach is intended to benefit both the healthcare professional, by reducing the burden associated with routine check-ups, and the patient, who can be assured of continuous monitoring of their injury and a rapid response to any abnormalities in recovery.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Remote Rehabilitation Monitoring Using IoT and AI Techniques for Patients in Rural Areas

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Sergio Alonso-Rollán,
  • Albano Carrera,
  • Pablo Chamoso

摘要

This article discusses the proposed study for the completion of a Ph.D. thesis. A system to remotely monitor patient progress in rehabilitation using IoT devices and mobile platforms is proposed. This system feeds advanced artificial intelligence (AI) algorithms and techniques such as federated learning. Additionally, real-time posture estimation with computer vision is implemented. This set of technologies enables accurate monitoring of rehabilitation exercises without the need for constant supervision. This approach is intended to benefit both the healthcare professional, by reducing the burden associated with routine check-ups, and the patient, who can be assured of continuous monitoring of their injury and a rapid response to any abnormalities in recovery.