{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T17:10:35Z","timestamp":1786122635302,"version":"build-2736575974"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"content-version":"vor","delay-in-days":218,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","award":["RP-PG-1016-20001"],"award-info":[{"award-number":["RP-PG-1016-20001"]}],"id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Parkinson's Disease"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Clinical rating scales for Parkinson\u2019s disease (PD) have limitations in the accurate assessment of disease severity, which may obscure treatment effects in clinical management and trials. Body\u2010worn sensors can provide data for continuous and more precise monitoring of motor features of PD in patients\u2019 daily lives. However, little information exists on the clinical validity of sensor\u2010derived data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>We assessed the clinical validity of outputs from three different machine learning models using trunk\u2010 or wrist\u2010worn sensors in patients with PD, assessing their correlations with scores on clinical scales assessing motor severity and impact on function.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Wrist\u2010 and\/or trunk\u2010worn sensors were worn by patients with PD, who had been assessed using the MDS\u2010UPDRS and the EQ\u20105D\u20105L, for up to one week. Output data were analyzed using three different algorithms: One trained on a publicly available dataset using trunk sensor data and two previously derived from wrist sensor data. Clinical validity was examined by examining correlations of sensor\u2010derived outputs with individual items of the MDS\u2010UPDRS and EQ\u20105D\u20105L.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      For the trunk\u2010worn sensor\u2010derived outputs, the strongest positive correlations were found between output data and axial features such as arising from a chair, posture, and body bradykinesia and aspects of daily functioning on the MDS\u2010UPDRS Part II and health\u2010related quality of life (EQ\u20105D\u20105L domain) scores. For the wrist\u2010worn sensor\u2010derived outputs, the strongest positive correlations were seen between output data and postural tremor, rest tremor amplitude, and ability to undertake hobbies. Outputs from both body locations were correlated with MDS\u2010UPDRS II and EQ\u20105D\u20105L scores (\n                      <jats:italic>r<\/jats:italic>\n                      \u2009&gt;\u20090.7). In participants who wore both trunk and wrist sensors, percentage of time spent in different activities was similar between trunk\u2010 and wrist\u2010worn devices, except for time spent \u201cLying down\u201d derived from the trunk\u2010worn sensor compared to time spent \u201cSleeping\u201d derived from the wrist\u2010worn sensor algorithm.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These data provide preliminary evidence for the clinical validity of single sensor assessments as measures of severity of motor features and motor functioning in patients with PD for use in clinical trials and practice. The results should be confirmed in large and more diverse populations and expanded to include other assessment methods such as laboratory\u2010based motor measurements.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/padi\/8598501","type":"journal-article","created":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T10:53:53Z","timestamp":1786100033000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clinical Validity of Wrist\u2010 and Trunk\u2010Worn Sensor\u2010Derived Data Models in Parkinson\u2019s Disease"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1663-7802","authenticated-orcid":false,"given":"Yanke","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8690-5761","authenticated-orcid":false,"given":"Sally","family":"Day","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2173-2430","authenticated-orcid":false,"given":"Kate","family":"Walters","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9872-6680","authenticated-orcid":false,"given":"Anette","family":"Schrag","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,8,7]]},"reference":[{"key":"e_1_2_13_1_2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22340"},{"key":"e_1_2_13_2_2","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2023.1080752"},{"key":"e_1_2_13_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01163-z"},{"key":"e_1_2_13_4_2","doi-asserted-by":"publisher","DOI":"10.1159\/000479018"},{"key":"e_1_2_13_5_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41531-021-00248-w"},{"key":"e_1_2_13_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27376"},{"key":"e_1_2_13_7_2","first-page":"1","article-title":"Wrist Accelerometry-Based Digital Assessment of Slowness of Movement in Parkinson\u2019s Disease: A Multi-Cohort Analysis","author":"Gerasimou I.","year":"2025","journal-title":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society"},{"key":"e_1_2_13_8_2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.26718"},{"key":"e_1_2_13_9_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-025-01572-8"},{"key":"e_1_2_13_10_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41531-025-00920-5"},{"key":"e_1_2_13_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2014.02.022"},{"key":"e_1_2_13_12_2","doi-asserted-by":"publisher","DOI":"10.3233\/jpd-2012-11071"},{"key":"e_1_2_13_13_2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm14062073"},{"key":"e_1_2_13_14_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-03960-3"},{"key":"e_1_2_13_15_2","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27671"},{"key":"e_1_2_13_16_2","doi-asserted-by":"publisher","DOI":"10.1136\/bjsports-2021-104050"},{"key":"e_1_2_13_17_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-26174-1"},{"key":"e_1_2_13_18_2","doi-asserted-by":"publisher","DOI":"10.1159\/000516599"},{"key":"e_1_2_13_19_2","article-title":"Feasibility and Acceptability of Intervention and Trial Procedures of the UCL Live Well With Parkinson\u2019s Self-Management Toolkit","volume":"2025","author":"Rookes T.","year":"2025","journal-title":"Parkinson\u2019s Disease"},{"key":"e_1_2_13_20_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12883-022-02988-5"},{"key":"e_1_2_13_21_2","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0168-8510(90)90421-9","article-title":"EuroQol--A New Facility for the Measurement of Health-Related Quality of Life","volume":"16","author":"EuroQol G.","year":"1990","journal-title":"Health Policy"},{"key":"e_1_2_13_22_2","doi-asserted-by":"publisher","DOI":"10.2196\/42950"},{"key":"e_1_2_13_23_2","doi-asserted-by":"crossref","DOI":"10.3390\/s24072195","article-title":"On Behalf of the NCER-PD Consortium. Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson\u2019s Disease Using Machine Learning","volume":"24","author":"Bremm R. P.","year":"2024","journal-title":"Sensors"},{"key":"e_1_2_13_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2025.108108"},{"key":"e_1_2_13_25_2","doi-asserted-by":"publisher","DOI":"10.2196\/76084"}],"container-title":["Parkinson's Disease"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/padi\/8598501","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/padi\/8598501","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/padi\/8598501","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T10:53:55Z","timestamp":1786100035000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/padi\/8598501"}},"subtitle":[],"editor":[{"given":"Suraiya","family":"Saleem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["10.1155\/padi\/8598501"],"URL":"https:\/\/doi.org\/10.1155\/padi\/8598501","archive":["Portico"],"relation":{},"ISSN":["2090-8083","2042-0080"],"issn-type":[{"value":"2090-8083","type":"print"},{"value":"2042-0080","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"2025-11-09","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-06-27","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-08-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"8598501"}}