Automatic range of motion measurement via smartphone images for telemedicine examination of the hand
Open Access
- 31 January 2023
- journal article
- research article
- Published by SAGE Publications in Science Progress
- Vol. 106 (1)
- https://doi.org/10.1177/00368504231152740
Abstract
BackgroundTelemedicine support virtual consultations and evaluations in hand surgery for patients in remote areas during the COVID-19 era. However, traditional physical examination is challenging in telemedicine and it is inconvenient to manually measure the hand range of motion (ROM) from images or videos. Here, we propose an automatic method using the hand pose estimation technique, aiming to measure the hand ROM from smartphone images. MethodsTwenty-eight healthy volunteers participated in the study. An eight-hand gestures measurement protocol and the Google MediaPipe Hands were used to analyze images and calculate the ROM automatically. Manual goniometry was also performed according to the guideline of the American Medical Association. The correlation between the automatic and manual methods was analyzed by the intraclass correlation coefficient and Pearson correlation coefficient. The clinical acceptance was testified using Bland-Altman plots. ResultsA total of 32 parameters of each hand were measured by both methods, and 1792 measurement results were compared. The mean difference between automatic and manual methods is -2.21 +/- 9.29 degrees in the angle measurement and 0.48 +/- 0.48 cm in the distance measurement. The intraclass correlation coefficient of 75% of parameters was higher than 0.75, the Pearson correlation coefficient of 84% of parameters was over 0.6, and 40.6% of parameters reached well-accepted clinical agreements. ConclusionsThe proposed method provides a helpful protocol for automatic hand ROM measurement based on smartphone images and the MediaPipe Hands pose estimation technique. The automatic measurement is acceptable and comparable with existing methods, showing a possible application in the telemedicine examination of hand surgery.Keywords
This publication has 49 references indexed in Scilit:
- A Comparison of Elbow Range of Motion Measurements: Smartphone-Based Digital Photography Versus Goniometric MeasurementsThe Journal of Hand Surgery, 2016
- A Non-Contact Measurement System for the Range of Motion of the HandSensors, 2015
- Patient Perception on the Usage of Smartphones for Medical Photography and for Reference in DermatologyDermatologic Surgery, 2015
- Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: A reviewClinical Biomechanics, 2014
- Correlation of Return to Work Outcomes and Hand Impairment Measures Among Workers with Traumatic Hand InjuryJournal of Occupational Rehabilitation, 2010
- Accuracy and Reliability of Three Different Techniques for Manual Goniometry for Wrist Motion: A Cadaveric StudyThe Journal of Hand Surgery, 2009
- Vision-based hand pose estimation: A reviewComputer Vision and Image Understanding, 2007
- LATERAL DIGITAL PHOTOGRAPHY WITH COMPUTER-AIDED GONIOMETRY VERSUS STANDARD GONIOMETRY FOR RECORDING FINGER JOINT ANGLESJournal of Hand Surgery (European Volume), 2002
- STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENTThe Lancet, 1986
- Evaluation of impairment of hand functionThe Journal of Hand Surgery, 1983