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JAIT 2023 Vol.14(4): 749-757
doi: 10.12720/jait.14.4.749-757

Comparison of Shoulder Range of Motion Evaluation by Traditional and Semi-Automatic Methods

Sonia C. Mantilla 1, César A. Peña 2, and Gonzalo G. Moreno 2,*
1. Department of Physical Therapy, University of Pamplona, Pamplona, Colombia
2. Faculty of Engineering and Architecture, University of Pamplona, Colombia;
Email: sonia.mantilla@unipamplona.edu.co (S.C.M.), cesarapc@unipamplona.edu.co (C.A.P.)
*Correspondence: gmoren@unipamplona.edu.co (G.G.M.)

Manuscript received February 10, 2023; revised April 5, 2023; accepted April 21, 2023; published August 3, 2023.

Abstract—This article compares the results obtained from applying two methods of measuring the range of motion in the upper extremity. From a descriptive, cross-sectional study, measurements were made using the most widely used and traditional method in the health area known as goniometry as well as a semi-automatic method developed using new technological tools. The results demonstrated that the technique has a high sensitivity and can analyze static body positions and movement evolutions, expanding its applicability range.
 
Keywords—range of motion, technological tools, goniometry, artificial vision, physical therapy

Cite: Sonia C. Mantilla, César A. Peña, and Gonzalo G. Moreno, "Comparison of Shoulder Range of Motion Evaluation by Traditional and Semi-Automatic Methods," Journal of Advances in Information Technology, Vol. 14, No. 4, pp. 749-757, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

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