{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T04:30:36Z","timestamp":1787891436695,"version":"build-2784847793"},"reference-count":37,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2024,3,25]],"date-time":"2024-03-25T00:00:00Z","timestamp":1711324800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Korea Workers\u2019 Compensation and Welfare Service"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Hong Kong Journal of Occupational Therapy"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p> Wearable sensors are increasingly applied to rehabilitation for arm movement analysis. However, simple and clinically relevant applications are scarce. <\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p> To investigate the feasibility of single smart watch-based parameters for functional assessment in upper limb rehabilitation for musculoskeletal injuries using a commercial smart watch. <\/jats:p><\/jats:sec><jats:sec><jats:title>Method<\/jats:title><jats:p> Ten patients with unilateral shoulder pain and range-of-motion limitations were enrolled. They wore Galaxy Watch<jats:sup>\u00ae<\/jats:sup> and performed three sets of upper extremity tasks consisting of gross activities-of-daily-living tasks, Wolf Motor Function Test (WMFT), and Upper Extremity Functional Index (UEFI), and the acceleration and angular velocities were acquired. The motion segment size (MSS), representing motion smoothness from a clinical perspective, and various sensor-based parameters were extracted. The correlation between the parameters and clinical outcome measures were analyzed. The percent relative range (PRR) of the significant parameters was also calculated. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p> For overhead and behind body activity task set, mean MSS for elbow flexion\/extension axis significantly correlated with WMFT score (R = 0.784, p = .012). For planar tasks, mean MSS for the forearm supination\/pronation (R = 0.815, p = .007) and shoulder rotation (R = 0.870, p = .002) axes significantly correlated with WMFT score. For forearm and fine movement task set, mean MSS of the elbow flexion\/extension angle showed significant correlation with WMFT (R = 0.880, p &lt; .001) and UEFI (R = 0.718, p = .019). The total performance time (R = \u22120.741, p = .014) also showed significant correlation with WMFT score. The PRR for mean MSS in forearm supination (71.5%, planar tasks) and mean MSS in x-direction (49.8%, forearm and fine motor movements) were similar to the PRR of WMFT (58.5%), suggesting sufficient variation range across different degree of impairments. <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p> The commercial smart watch-based parameters showed consistent potential for use in clinical functional assessments. <\/jats:p><\/jats:sec>","DOI":"10.1177\/15691861241241775","type":"journal-article","created":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T03:53:47Z","timestamp":1711425227000},"page":"31-41","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Smartwatch-based functional assessment for upper extremity impairment after musculoskeletal injuries: A pilot 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