{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T18:11:14Z","timestamp":1791915074468,"version":"4.3.4"},"reference-count":24,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T00:00:00Z","timestamp":1609113600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disord Clin Pract"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Computer vision can measure movement from video without the time and access limitations of hospital accelerometry\/electromyography or the requirement to hold or strap a smartphone accelerometer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To compare computer vision measurement of hand tremor frequency from smartphone video with a gold standard measure accelerometer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 37 smartphone videos of hands, at rest and in posture, were recorded from 15 participants with tremor diagnoses (9 Parkinson's disease, 5 essential tremor, 1 functional tremor). Video pixel movement was measured using the computing technique of optical flow, with contemporaneous accelerometer recording. Fast Fourier transform and Bland\u2010Altman analysis were applied. Tremor amplitude was scored by 2 clinicians.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Bland\u2010Altman analysis of dominant tremor frequency from smartphone video compared with accelerometer showed excellent agreement: 95% limits of agreement \u22120.38\u2009Hz to +0.35\u2009Hz. In 36 of 37 videos (97%), there was &lt;0.5\u2009Hz difference between computer vision and accelerometer measurement. There was no significant correlation between the level of agreement and tremor amplitude.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The study suggests a potential new, contactless point\u2010and\u2010press measure of tremor frequency within standard clinical settings, research studies, or telemedicine.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mdc3.13119","type":"journal-article","created":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T01:34:07Z","timestamp":1605144847000},"page":"69-75","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Accuracy of Smartphone Video for Contactless Measurement of Hand Tremor Frequency"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4786-1356","authenticated-orcid":false,"given":"Stefan","family":"Williams","sequence":"first","affiliation":[{"name":"Leeds Institute of Health Science, University of Leeds  Leeds UK"},{"name":"Department of Neurology Leeds Teaching Hospitals National Health Service (NHS) Trust  Leeds UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Computer Science Loughborough University  Loughborough UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel D.","family":"Relton","sequence":"additional","affiliation":[{"name":"Leeds Institute of Health Science, University of Leeds  Leeds UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David C.","family":"Wong","sequence":"additional","affiliation":[{"name":"Division of Informatics, Imaging and Data Science University of Manchester  Manchester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taimour","family":"Alam","sequence":"additional","affiliation":[{"name":"Department of Neurology Leeds Teaching Hospitals National Health Service (NHS) Trust  Leeds UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jane E.","family":"Alty","sequence":"additional","affiliation":[{"name":"Department of Neurology Leeds Teaching Hospitals National Health Service (NHS) Trust  Leeds UK"},{"name":"Wicking Dementia Research and Education Centre University of Tasmania  Hobart Tasmania Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,12,28]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.5334\/tohm.198"},{"issue":"8","key":"e_1_2_7_3_1","doi-asserted-by":"crossref","first-page":"1100\u20131104","DOI":"10.1001\/archneur.63.8.1100","article-title":"Common misdiagnosis of a common neurological disorder","volume":"63","author":"Jain S","year":"2006","journal-title":"Arch Neurol"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2009.193391"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27121"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnp.2019.06.002"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2011.01.001"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2020.117003"},{"key":"e_1_2_7_9_1","unstructured":"SoranB HwangJN LeeSI ShapiroL.Tremor detection using motion filtering and SVM. 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