{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T09:23:32Z","timestamp":1740129812632,"version":"3.37.3"},"reference-count":40,"publisher":"IOP Publishing","issue":"12","license":[{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"vor","delay-in-days":15,"URL":"https:\/\/iopscience.iop.org\/page\/copyright"},{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"tdm","delay-in-days":15,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"name":"Chang Gung Memorial Hospital, Taoyuan, Taiwan","award":["CMRPD2N0141"],"award-info":[{"award-number":["CMRPD2N0141"]}]},{"name":"National Science and Technology Council, Taiwan","award":["112-2221-E-182-009-MY2"],"award-info":[{"award-number":["112-2221-E-182-009-MY2"]}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Physiol. Meas."],"published-print":{"date-parts":[[2024,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>\n                  <jats:italic>Objective<\/jats:italic>. Start hesitation is a key issue for individuals with Parkinson\u2019s disease (PD) during gait initiation. Visual cues have proven effective in enhancing gait initiation. When applied to laser-light shoes, swing-limb detection efficiently activates the laser on the side of the stance limb, prompting the opposite swing limb to initiate stepping. <jats:italic>Approach<\/jats:italic>. This paper presents the development of two models for this purpose: a convolutional neural network that predicts the swing limb\u2019s side using center of pressure data, and a swing onset detection model based on sequential hypothesis test using foot pressure data. <jats:italic>Main results<\/jats:italic>. Our findings demonstrate an accuracy rate of 85.4% in predicting the swing limb\u2019s side, with 82.4% of swing onsets correctly detected within 0.05 s. <jats:italic>Significance<\/jats:italic>. This study demonstrates the efficiency of swing-limb detection based on foot pressures. Future research aims to comprehensively assess the impact of this method on improving gait initiation in individuals with PD.<\/jats:p>","DOI":"10.1088\/1361-6579\/ad9af5","type":"journal-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T14:11:36Z","timestamp":1734358296000},"page":"125004","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Swing limb detection using a convolutional neural network and a sequential hypothesis test based on foot pressure data during gait initialization in individuals with Parkinson\u2019s disease"],"prefix":"10.1088","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1451-9116","authenticated-orcid":true,"given":"Hsiao-Lung","family":"Chan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya-Ju","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shih-Hsun","family":"Chien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gia-Hao","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng-Chung","family":"Kuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Tao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8375-6425","authenticated-orcid":true,"given":"Rou-Shayn","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"266","published-online":{"date-parts":[[2024,12,16]]},"reference":[{"key":"pmeaad9af5bib1","doi-asserted-by":"publisher","first-page":"9575","DOI":"10.1109\/JSEN.2019.2928777","article-title":"Deep learning for monitoring of human gait: a review","volume":"19","author":"Alharthi","year":"2019","journal-title":"IEEE Sens. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2024-08-10","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-12-05","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2024-12-16","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}