{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T18:47:40Z","timestamp":1762195660791,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Individuals post-stroke commonly experience impairments in upper extremity function that limit participation in valued activities. Task repetitive practice is an effective intervention strategy, but accurately monitoring adherence and movement quality in home programs remains a challenge. This pilot study investigates the reliability and validity of raw accelerometer data captured by a commercially available, wrist-worn activity monitor to assess upper extremity movement in healthy adults during task repetitive practice. Measures of duration, angular velocity, and acceleration were obtained from activity monitors worn by 25 healthy adults performing four functional tasks under varying conditions. Preliminary results indicate moderate to excellent within-session reliability in these three measures when compared across repeated trials of the same task, with one exception. Across all tasks, the duration measure consistently detected differences in exercise time between sets of 5, 10, and 20 repetitions at a comfortable pace. All three measures differentiated between 10 comfortable repetitions and 10 fast repetitions on three out of four tasks. These findings provide initial psychometric properties in a healthy population and further research is required to determine whether these properties remain robust in the presence of motor impairment. This work represents an early step towards developing approaches for monitoring home exercise programs that support stroke recovery.<\/jats:p>","DOI":"10.3390\/s25216686","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T18:21:46Z","timestamp":1762194106000},"page":"6686","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating the Psychometrics of Accelerometer Data for Independent Monitoring of Task Repetitive Practice"],"prefix":"10.3390","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0166-8198","authenticated-orcid":false,"given":"Elena V.","family":"Donoso Brown","sequence":"first","affiliation":[{"name":"Department of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4074-0436","authenticated-orcid":false,"given":"Rachael","family":"Miller Neilan","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fiona Kessler","family":"Brody","sequence":"additional","affiliation":[{"name":"Department of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jenna","family":"Gallipoli","sequence":"additional","affiliation":[{"name":"Department of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taylor","family":"McElroy","sequence":"additional","affiliation":[{"name":"Department of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MacKenzie","family":"Gough","sequence":"additional","affiliation":[{"name":"Department of Occupational Therapy, Duquesne University, 600 Forbes Ave, Pittsburgh, PA 15219, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1080\/10749357.2020.1738662","article-title":"Does upper limb strength play a prominent role in health-related quality of life in stroke patients discharged from inpatient rehabilitation?","volume":"27","author":"Lieshout","year":"2020","journal-title":"Top. Stroke Rehabil."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1002\/oti.1447","article-title":"Efficacy of occupational therapy task-oriented approach in upper extremity post-stroke rehabilitation","volume":"23","author":"Almhdawi","year":"2016","journal-title":"Occup. Ther. Int."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7802180070","DOI":"10.5014\/ajot.2024.050391","article-title":"Effectiveness of activity-based task-oriented training on upper extremity recovery for adults with stroke: A systematic review","volume":"78","author":"Lee","year":"2024","journal-title":"Am. J. Occup. Ther."},{"key":"ref_4","unstructured":"Lang, C.E., and Birkenmeier, R.L. (2013). Upper-Extremity Task-Specific Training After Stroke or Disability, AOTA Press."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1080\/10749357.2019.1707950","article-title":"Home program practices for supporting and measuring adherence in post-stroke rehabilitation: A scoping review","volume":"27","author":"Nolfi","year":"2020","journal-title":"Top. Stroke Rehabil."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"6119","DOI":"10.1080\/09638288.2021.1957027","article-title":"The use of wearable sensors to assess and treat the upper extremity after stroke: A scoping review","volume":"44","author":"Kim","year":"2022","journal-title":"Disabil. Rehabil."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Boukhennoufa, I., Zhai, X., Utti, V., Jackson, J., and McDonald-Maier, K.D. (2022). Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review. Biomed. Signal Process. Control, 71.","DOI":"10.1016\/j.bspc.2021.103197"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"e17216","DOI":"10.2196\/17216","article-title":"Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic stroke survivors: Prospective comparative study","volume":"8","author":"Chae","year":"2020","journal-title":"JMIR mHealth uHealth"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"de Castro, K.N., Donoso Brown, E.V., Miller Neilan, R., and Wallace, S.E. (2021). Feasibility of using commercially available accelerometers to monitor upper extremity home practice with persons post-stroke: A secondary data analysis. Front. Virtual Real., 2.","DOI":"10.3389\/frvir.2021.642434"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1186\/s12984-024-01359-0","article-title":"Utility and usability of a wearable system and progressive-challenge cued exercise program for encouraging use of the more involved arm at-home after stroke--A feasibility study","volume":"21","author":"Horder","year":"2024","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1080\/09593985.2018.1493759","article-title":"Effects of in home high dose accelerometer-based feedback on perceived and actual use in participants chronic post-stroke","volume":"36","author":"Whitford","year":"2020","journal-title":"Physiother. Theory Pract."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"e59497","DOI":"10.2196\/59497","article-title":"Data analytics in physical activity studies with accelerometers: Scoping review","volume":"26","author":"Liang","year":"2024","journal-title":"J. Med. Internet Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"pzab031","DOI":"10.1093\/ptj\/pzab031","article-title":"What factors influence clinicians\u2019 use of technology in neurorehabilitation? A multisite qualitative study","volume":"101","author":"Bower","year":"2021","journal-title":"Phys. Ther."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1186\/s12984-021-00927-y","article-title":"Clinicians\u2019 perceptions of a potential wearable device for capturing upper limb activity post-stroke: A qualitative focus group study","volume":"18","author":"Simpson","year":"2021","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1186\/s12984-024-01381-2","article-title":"The use of accelerometer bracelets to evaluate arm motor function over a stroke rehabilitation period\u2013an explorative observational study","volume":"21","author":"Carlsson","year":"2024","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_16","unstructured":"Microsoft (2025, October 30). What Can I Still Do with My Microsoft Band?-Product Specifications 2016. Available online: https:\/\/support.microsoft.com\/en-us\/topic\/what-can-i-still-do-with-my-microsoft-band-a2a59355-5be0-3441-9fff-4dc27bcbafb5."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1177\/1545968310370748","article-title":"Kinematic variables quantifying upper-extremity performance after stroke during reaching and drinking from a glass","volume":"25","author":"Murphy","year":"2011","journal-title":"Neurorehabilit. Neural Repair"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1097\/NPT.0000000000000085","article-title":"Validity of body-worn sensor acceleration metrics to index upper extremity function in hemiparetic stroke","volume":"39","author":"Urbin","year":"2015","journal-title":"J. Neurol. Phys. Ther."},{"key":"ref_19","unstructured":"The MathWorks Inc. (2020). MATLAB Version: 9.8 (R2020a), The MathWorks Inc.. Available online: https:\/\/www.mathworks.com."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J. Chiropr. Med."},{"key":"ref_21","unstructured":"Portney, L.G. (2020). Foundation of Clinical Research: Applications to Evidence-Based Practice, F.A. Davis. [4th ed.]."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Front. Psychol., 4.","DOI":"10.3389\/fpsyg.2013.00863"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Li, M., Scronce, G., Finetto, C., Coupland, K., Zhong, M., Lambert, M.E., Baker, A., Luo, F., and Seo, N.J. (2023). Application of deep learning algorithm to monitor upper extremity task practice. Sensors, 23.","DOI":"10.3390\/s23136110"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Elshafei, M., and Shihab, E. (2021). Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables. Sensors, 21.","DOI":"10.3390\/s21030759"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Bailey, R.R., Klaesner, J.W., and Lang, C.E. (2014). An accelerometry-based methodology for assessment of real-world bilateral upper extremity activity. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0103135"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/25\/21\/6686\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T18:26:15Z","timestamp":1762194375000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/25\/21\/6686"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,1]]},"references-count":25,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2025,11]]}},"alternative-id":["s25216686"],"URL":"https:\/\/doi.org\/10.3390\/s25216686","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2025,11,1]]}}}