ArticleJournal of hand surgery global online2020
Development and User Evaluation of a Smartphone-Based System to Assess Range of Motion of Wrist Joint.
Article in Journal of hand surgery global online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Smartphone-Based Hand Function Assessment: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Effect of traditional Chinese Yijinjing exercise on hand dysfunction in rheumatoid arthritis patients: a randomized controlled trial.Frontiers in medicine · 2024Article
- Telerehabilitation Technology Used for Remote Wrist/Finger Range of Motion Evaluation: A Scoping Review.Plastic and reconstructive surgery. Global open · 2023Article
- Development and testing of a new application for measuring motion at the cervical spine.BMC medical imaging · 2022Article
- Reliability of a human pose tracking algorithm for measuring upper limb joints: comparison with photography-based goniometry.BMC musculoskeletal disorders · 2022Article
- A Screening Method Using Anomaly Detection on a Smartphone for Patients With Carpal Tunnel Syndrome: Diagnostic Case-Control Study.JMIR mHealth and uHealth · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMeasuring range of motion (ROM) in the wrist joint is an essential part of hand and wrist functional evaluations, especially before and after surgery. However, accurate measurements require experience and time. To reduce patient and surgeon burdens related to ROM measurement, a smartphone-based system, which enables participants to measure the ROM of the wrist joint semiautomatically using self-taken pictures on a smartphone, was developed and evaluated in this study.
methodsIn the developed system, participants were asked to take a picture of their wrist by using the other hand to position the joint first into full flexion and then into full extension. The hand and arm regions were automatically extracted in the program, and the ROM was estimated after the area of the hand and forearm was cropped. To verify the accuracy of ROM measurements in this system, the proposed method was tested on 66 images of hands from 33 participants; measurements were compared with those taken by hand surgeons. A limit of agreement and an intraclass correlation coefficient (ICC) were used for evaluation.
resultsThe smallest averages (95% limits of agreement) of flexion and extension were 11.32° (95% confidence interval [CI], 8.88° to 13.76°) and 11.01° (95% CI, 8.64° to 13.39°), respectively. The ICC (1,1) for 3 measurements taken by one assessor was 0.99 (95% CI, 0.986-0.992), and the ICC (2,1) for 2 measurements taken by both assessors was 0.97 (95% CI, 0.947-0.977).
conclusionsIn this study, we developed a system to measure the semiautomatic ROM of the wrist joint using a smartphone image. Its accuracy was within a clinically usable error range that was comparable with that of a hand surgeon. CLINICAL RELEVANCE: This system can reduce the burden of ROM measurement for both patients and doctors.
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