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Wireless wearable range-of-motion sensor system for upper and lower extremity joints: a validation study.

Yogaprakash Kumar1, Shih-Cheng Yen1, Arthur Tay1

  • 1Department of Electrical & Computer Engineering , National University of Singapore , 4 Engineering Drive 3 , Singapore 117583 , Singapore.

Healthcare Technology Letters
|November 27, 2015
PubMed
Summary
This summary is machine-generated.

A new wireless wearable sensor system accurately measures range-of-motion (ROM) in upper and lower extremities. This automated system shows high correlation with goniometry, offering a faster, reliable alternative for rehabilitation assessments.

Keywords:
biomechanicsbiomedical equipmentgoniometer measurementsgoniometerslower extremity jointsmotion measurementpatient rehabilitationrange-of-motion assessmentrehabilitation processupper extremity jointswireless sensor networkswireless wearable range-of-motion sensor system

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Area of Science:

  • Biomechanics
  • Rehabilitation Engineering
  • Medical Instrumentation

Background:

  • Range-of-motion (ROM) assessment is crucial for rehabilitation.
  • Conventional goniometry is reliable but time-consuming and prone to measurement errors.
  • An automated wireless wearable sensor system for ROM measurement has been developed.

Purpose of the Study:

  • To evaluate the correlation and accuracy of a novel automated wireless wearable sensor system against goniometry for ROM assessment.
  • To compare measurements in major joints of the upper and lower extremities (UEs and LEs).
  • To assess system performance in both healthy subjects and inpatients undergoing rehabilitation.

Main Methods:

  • A wireless wearable sensor system was developed for automated ROM measurement.
  • ROM assessments were conducted using both the sensor system and a goniometer by physical therapists.
  • Intra-subject comparisons were performed on 19 healthy subjects and 20 inpatients.

Main Results:

  • In healthy subjects, sensor system ROM measurements highly correlated with goniometry (95% differences < 20° for UEs, < 10° for LEs).
  • In inpatients, sensor system ROM measurements also showed high correlation with goniometry (95% differences < 20° for UEs, < 25° for LEs).
  • The system demonstrated good accuracy across major joints of both extremities.

Conclusions:

  • The automated wireless wearable sensor system provides a highly correlated and accurate method for ROM assessment compared to goniometry.
  • This technology offers a promising, efficient alternative for clinical use in rehabilitation settings.
  • The system's reliability in both healthy and patient populations supports its potential clinical application.