Validity and reliability of POM-Checker in measuring shoulder range of motion

Chu, Hongmin; Joo, Seongsu; Kim, Jin‐Young; Kim, Jae Kyoun; Kim, Cheolhyun; Seo, Jeong‐Meen; Kang, Dae Gill; Lee, Ho Sub; Sung, Kang-Keyng; Lee, Sang-Kwan

doi:10.1097/md.0000000000011082

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…In comparison, Chang et al adopted a glass plate as hand support to reduce movement during the 3D scanning process [36]. More commonly, many studies choose the 3D motion capture system to achieve data collecting [37][38][39] simultaneously and thus minimize the differences caused by involuntary posture changing. Our study compared the results of the automatic system and human observers by measuring the same image individually.…”

Section: Discussionmentioning

confidence: 99%

Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry

Fan¹,

Gu²,

Lv³

et al. 2022

BMC Musculoskelet Disord

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Background Range of motion (ROM) measurements are essential for diagnosing and evaluating upper extremity conditions. Clinical goniometry is the most commonly used methods but it is time-consuming and skill-demanding. Recent advances in human tracking algorithm suggest potential for automatic angle measuring from RGB images. It provides an attractive alternative for at-distance measuring. However, the reliability of this method has not been fully established. The purpose of this study is to evaluate if the results of algorithm are as reliable as human raters in upper limb movements. Methods Thirty healthy young adults (20 males, 10 females) participated in this study. Participants were asked to performed a 6-motion task including movement of shoulder, elbow and wrist. Images of movements were captured by commercial digital cameras. Each movement was measured by a pose tracking algorithm (OpenPose) and compared with the surgeon-measurement results. The mean differences between the two measurements were compared. Pearson correlation coefficients were used to determine the relationship. Reliability was investigated by the intra-class correlation coefficients. Results Comparing this algorithm-based method with manual measurement, the mean differences were less than 3 degrees in 5 motions (shoulder abduction: 0.51; shoulder elevation: 2.87; elbow flexion:0.38; elbow extension:0.65; wrist extension: 0.78) except wrist flexion. All the intra-class correlation coefficients were larger than 0.60. The Pearson coefficients also showed high correlations between the two measurements (p < 0.001). Conclusions Our results indicated that pose estimation is a reliable method to measure the shoulder and elbow angles, supporting RGB images for measuring joint ROM. Our results presented the possibility that patients can assess their ROM by photos taken by a digital camera. Trial registration This study was registered in the Clinical Trials Center of The First Affiliated Hospital, Sun Yat-sen University (2021–387).

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Section: Discussionmentioning

confidence: 99%

Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry

Fan¹,

Gu²,

Lv³

et al. 2022

BMC Musculoskelet Disord

View full text Add to dashboard Cite

show abstract

“…In comparison, Chang et al adopted a glass plate as hand support to reduce movement during the 3D scanning process (32). More commonly, many studies choose the 3D motion capture system to achieve data collecting (33)(34)(35) simultaneously and thus minimize the differences caused by involuntary posture changing. Our study compared the results of the automatic system and human observers by measuring the same image individually.…”

Section: Discussionmentioning

confidence: 99%

Validation of a Human Pose Tracking Algorithm for Measuring Upper Limb Joints: Comparison With Photography-based Goniometry

Zhu

Fan

et al. 2022

Preprint

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Background: Range of motion (ROM) measurements are essential for diagnosing and evaluating upper extremity conditions. Clinical goniometry is the most commonly used methods but it is time-consuming and skill-demanding. Recent advances in human tracking algorithm suggest potential for automatic angle measuring from RGB images. It provides an attractive alternative for at-distance measuring. However, the reliability of this method has not been fully established. The purpose of this study is to evaluate if the results of algorithm are as reliable as human raters in upper limb movements.Methods: Thirty healthy young adults (20 males, 10 females) participated in this study. Participants were asked to performed a 6-motion task including movement of shoulder, elbow and wrist. Images of movements were capture by commercial digital camera. Each movement was measured by a pose tracking algorithm and compared with the surgeon-measurement results. The mean differences between the two measurements were compared. Pearson correlation coefficients were used to determine the relationship. Reliability was investigated by the intra-class correlation coefficients.Results: Comparing this algorithm-based method with manual measurement, the mean differences were less than 3 degrees in 5 motions (shoulder abduction: 0.51; shoulder elevation: 2.87; elbow flexion:0.38; elbow extension:0.65; wrist extension: 0.78) except wrist flexion. All the intra-class correlation coefficients were larger than 0.60. The Pearson coefficients also showed high correlations between the two measurements (p<0.001). Conclusions: Our results indicated that pose estimation is a reliable method to measure the shoulder and elbow angles, supporting RGB images for measuring joint ROM. Our results proved the possibility that patients can assess their ROM by photos taken by a digital camera.Trial registration: This study was registered in the Clinical Trials Center of The First Affiliated Hospital, Sun Yat-sen University (2021-387).

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“…Follow-up data, including length discrepancy of the humerus (LDH), range of motion (ROM) of the shoulder joint [12], and any complications, were recorded at every follow-up visit and the last follow-up visit. LDH was measured radiologically and clinically.…”

Section: Methodsmentioning

confidence: 99%

Glenohumeral joint dislocation is rare in children with proximal humeral fractures: a descriptive study and literature review

Hong

Rai

Liu

et al. 2022

BMC Musculoskelet Disord

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Background Glenohumeral dislocation combined with fracture of the proximal humerus is extremely rare in children, and this study aims to investigate its incidence in the pediatric population and review the treatment strategy for this condition. Methods Between Jan 2014 and Jan 2019, 280 patients with unilateral proximal humeral fractures were retrospectively reviewed. Imaging and follow-up notes were reviewed for patients with a predilection for glenohumeral joint dislocation. Six (2.14%) patients between the ages of 5 and 10 years were confirmed as glenohumeral joint dislocation and included in the study. All these patients underwent closed reduction and external fixation under general anesthesia. Results Out of 280 patients with proximal humeral fractures, only 6 patients, including 4 males and 2 females, were confirmed as glenohumeral joint dislocation. ROM was normal compared with the contralateral shoulder in every patient at the last follow-up. There was no case of radiological abnormality, including avascular necrosis or devascularization of the humeral head. Conclusions Glenohumeral dislocation is a rare entity associated with the proximal humerus fracture in children, with an overall incidence in our case series was 2.14%. Reduction and stabilization of such injury using an external fixator is a suitable choice for pediatric patients that failed closed reduction.

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Validity and reliability of POM-Checker in measuring shoulder range of motion

Cited by 8 publications

References 11 publications

Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry

Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry

Validation of a Human Pose Tracking Algorithm for Measuring Upper Limb Joints: Comparison With Photography-based Goniometry

Glenohumeral joint dislocation is rare in children with proximal humeral fractures: a descriptive study and literature review

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