AI Article Synopsis

  • Advancements in motion sensing technology could enhance the accuracy of shoulder range-of-motion measurements for clinicians.
  • A systematic review evaluated various tools including Kinect, inertial sensors, and smartphone apps, involving 32 studies which primarily met reliability standards.
  • The findings indicated that tools like the Kinect and smartphone apps show moderate-good reliability for measuring shoulder ROM, suggesting future studies should focus on better design and larger samples for improved results.

Article Abstract

Advancements in motion sensing technology can potentially allow clinicians to make more accurate range-of-motion (ROM) measurements and informed decisions regarding patient management. The aim of this study was to systematically review and appraise the literature on the reliability of the Kinect, inertial sensors, smartphone applications and digital inclinometers/goniometers to measure shoulder ROM. Eleven databases were screened (MEDLINE, EMBASE, EMCARE, CINAHL, SPORTSDiscus, Compendex, IEEE Xplore, Web of Science, Proquest Science and Technology, Scopus, and PubMed). The methodological quality of the studies was assessed using the consensus-based standards for the selection of health Measurement Instruments (COSMIN) checklist. Reliability assessment used intra-class correlation coefficients (ICCs) and the criteria from Swinkels et al. (2005). Thirty-two studies were included. A total of 24 studies scored "adequate" and 2 scored "very good" for the reliability standards. Only one study scored "very good" and just over half of the studies (18/32) scored "adequate" for the measurement error standards. Good intra-rater reliability (ICC > 0.85) and inter-rater reliability (ICC > 0.80) was demonstrated with the Kinect, smartphone applications and digital inclinometers. Overall, the Kinect and ambulatory sensor-based human motion tracking devices demonstrate moderate-good levels of intra- and inter-rater reliability to measure shoulder ROM. Future reliability studies should focus on improving study design with larger sample sizes and recommended time intervals between repeated measurements.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8705315PMC
http://dx.doi.org/10.3390/s21248186DOI Listing

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