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Development of Joint Activity Angle Measurement and Cloud Data Storage System.

Chiu-Ching Tuan1, Yi-Chao Wu2, Wen-Ling Yeh3

  • 1Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

Sensors (Basel, Switzerland)
|July 9, 2022
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Summary
This summary is machine-generated.

A novel range of motion sensing system (ROMSS) accurately measures elbow joint angles. This system enables real-time data tracking via a mobile app and cloud database, aiding patient recovery monitoring.

Keywords:
Kalman filtercloud databaseelbow range of motion (ROM)extremities rehabilitationgoniometerweighted moving average filter (WMAF)

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Wearable Sensors

Background:

  • Accurate measurement of joint range of motion (ROM) is crucial for diagnosing and monitoring musculoskeletal conditions.
  • Traditional goniometers can be subjective and lack real-time data logging capabilities.
  • Existing wearable sensors may have limitations in accuracy and data integration for clinical use.

Purpose of the Study:

  • To develop and validate a novel range of motion sensing system (ROMSS) for simulating elbow joint function.
  • To assess the accuracy and reliability of the ROMSS compared to a universal goniometer.
  • To establish a cloud-based data management system and mobile application for real-time patient data monitoring and historical analysis.

Main Methods:

  • Development of a ROMSS with specialized swinging and angle recognition modules.
  • Static and dynamic verification of the ROMSS accuracy, with errors below 0.76 and 0.87 degrees, respectively.
  • Pearson correlation analysis and standard deviation calculations to compare ROMSS measurements with a universal goniometer.

Main Results:

  • The ROMSS demonstrated high accuracy, with static and dynamic errors less than 0.76 and 0.87 degrees.
  • A high Pearson correlation coefficient (ɣ = 0.90) was observed between the ROMSS and universal goniometer.
  • The ROMSS exhibited lower standard deviations (±0.5 to ±1.6 degrees) compared to the universal goniometer (±2 to ±2.6 degrees).

Conclusions:

  • The developed ROMSS provides a highly accurate and reliable method for measuring elbow joint range of motion.
  • The integrated cloud database and mobile app facilitate real-time data access for healthcare professionals and patients.
  • This system supports enhanced monitoring of patient recovery, enabling better assessment and maintenance of care quality.