Assessment of Shoulder Range of Motion Using a Wireless Inertial Motion Capture Device-A Validation Study

Sensors (Basel). 2019 Apr 13;19(8):1781. doi: 10.3390/s19081781.

Abstract

(1) Background: Measuring joint range of motion has traditionally occurred with a universal goniometer or expensive laboratory based kinematic analysis systems. Technological advances in wearable inertial measurement units (IMU) enables limb motion to be measured with a small portable electronic device. This paper aims to validate an IMU, the 'Biokin', for measuring shoulder range of motion in healthy adults; (2) Methods: Thirty participants completed four shoulder movements (forward flexion, abduction, and internal and external rotation) on each shoulder. Each movement was assessed with a goniometer and the IMU by two testers independently. The extent of agreement between each tester's goniometer and IMU measurements was assessed with intra-class correlation coefficients (ICC) and Bland-Altman 95% limits of agreement (LOA). Secondary analysis compared agreement between tester's goniometer or IMU measurements (inter-rater reliability) using ICC's and LOA; (3) Results: Goniometer and IMU measurements for all movements showed high levels of agreement when taken by the same tester; ICCs > 0.90 and LOAs < ±5 degrees. Inter-rater reliability was lower; ICCs ranged between 0.71 to 0.89 and LOAs were outside a prior defined acceptable LOAs (i.e., > ±5 degrees); (4) Conclusions: The current study provides preliminary evidence of the concurrent validity of the Biokin IMU for assessing shoulder movements, but only when a single tester took measurements. Further testing of the Biokin's psychometric properties is required before it can be confidently used in routine clinical practice and research settings.

Keywords: IMU; ROM; goniometer; inertial measurement unit; joint range of motion; shoulder; wearable; wireless.

MeSH terms

  • Adult
  • Arthrometry, Articular / instrumentation
  • Biomechanical Phenomena / physiology
  • Extremities / physiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Monitoring, Physiologic / trends
  • Motion
  • Range of Motion, Articular / physiology*
  • Shoulder / physiology*
  • Wearable Electronic Devices*
  • Wireless Technology / instrumentation*
  • Young Adult