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Related Experiment Video

Updated: Apr 16, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
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Promoting Rehabilitation Using a Multimodal Internet of Things-Based Patient Monitoring System in a Smart Hospital.

Wonhee Lee1, Seung-Ick Choi2, Kyung Pyo Hong3

  • 1Department and Research Institute of Rehabilitation MedicineYonsei University College of Medicine Seoul 03722 South Korea.

IEEE Journal of Translational Engineering in Health and Medicine
|April 15, 2026
PubMed
Summary
This summary is machine-generated.

This study shows an Internet of Things (IoT)-based smart hospital system is feasible for personalized inpatient rehabilitation. The system integrates wearable sensor data and patient-reported outcomes into electronic medical records, enhancing patient care.

Keywords:
Digital technologyInternet of Thingselectronic health recordsrehabilitationwearable electronic device

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Area of Science:

  • Digital Health
  • Rehabilitation Medicine
  • Internet of Things (IoT)

Background:

  • Continuous monitoring via wearable sensors and IoT platforms can improve patient rehabilitation.
  • Individualized rehabilitation is crucial for patients with gait disturbances.

Purpose of the Study:

  • To assess the feasibility of an IoT-based smart hospital system for individualized rehabilitation in patients with gait disturbances.
  • To integrate multi-source data (wearable sensors, mobile apps) into electronic medical records (EMRs).

Main Methods:

  • A single-center feasibility study involving 15 inpatients with subacute central nervous system injuries.
  • Integration of data from smart insoles, smart bands, real-time location systems, and a mobile app into the EMR.
  • Measurement of gait parameters and collection of self-reported symptom scores.

Main Results:

  • The system monitored patients for [Formula: see text] days, collecting gait and symptom data.
  • High patient satisfaction (4.28/5) and adherence were observed, despite some data collection challenges.
  • Tailored interventions were enabled by symptom monitoring, and nurses noted improved condition detection.

Conclusions:

  • An IoT-based system integrating wearable and self-reported data into EMRs is feasible for inpatient rehabilitation.
  • The system facilitates individualized feedback, clinical decision-making, and high patient adherence.
  • This demonstrates a scalable digital healthcare model for personalized rehabilitation.