{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T03:01:20Z","timestamp":1790996480764,"version":"4.1.0"},"reference-count":28,"publisher":"IOP Publishing","issue":"1","license":[{"start":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T00:00:00Z","timestamp":1744156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T00:00:00Z","timestamp":1744156800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100011441","name":"Zhejiang University First Affiliated Hospital Institute of Infectious Diseases","doi-asserted-by":"publisher","award":["WKJ-ZJ-2218"],"award-info":[{"award-number":["WKJ-ZJ-2218"]}],"id":[{"id":"10.13039\/501100011441","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011441","name":"Zhejiang University First Affiliated Hospital Institute of Infectious Diseases","doi-asserted-by":"publisher","award":["2022ZA004"],"award-info":[{"award-number":["2022ZA004"]}],"id":[{"id":"10.13039\/501100011441","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100022963","name":"Key Research and Development Program of Zhejiang Province","doi-asserted-by":"publisher","award":["2022C01144"],"award-info":[{"award-number":["2022C01144"]}],"id":[{"id":"10.13039\/100022963","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Med. Eng. Phys."],"published-print":{"date-parts":[[2025,5,1]]},"DOI":"10.1016\/j.medengphy.2025.104333","type":"journal-article","created":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T12:09:50Z","timestamp":1744200590000},"page":"104333","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["A new network structure for Parkinson's handwriting image recognition"],"prefix":"10.1088","volume":"139","author":[{"given":"Xiao","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haibin","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6373-5846","authenticated-orcid":true,"given":"Zhu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2025,4,9]]},"reference":[{"key":"bib0001","first-page":"1130","type":"other","article-title":"Parkinson's disease","volume":"339","author":"Lang","year":"1998"},{"key":"bib0002","first-page":"888","type":"other","article-title":"Dual task interference during gait in people with Parkinson disease: effects of motor versus cognitive secondary tasks","author":"Simone","year":"2002"},{"key":"bib0003","first-page":"939","type":"other","article-title":"Global, regional, and national burden of Parkinson's disease, 1990\u20132016: a systematic analysis for the Global Burden of Disease Study 2016","volume":"17","author":"Dorsey","year":"2018"},{"key":"bib0004","first-page":"234","type":"other","article-title":"Parkinson's disease: cause factors, measurable indicators, and early diagnosis","volume":"102","author":"A","year":"2018"},{"key":"bib0005","first-page":"1","author":"Drot\u00e1r","year":"2013","type":"other"},{"key":"bib0006","first-page":"349","type":"other","article-title":"Relearning of writing skills in Parkinson's disease: a literature review on influential factors and optimal strategies","volume":"37","author":"Nackaerts","year":"2013"},{"key":"bib0007","first-page":"609","type":"other","article-title":"Kinematic analysis of dopaminergic effects on skilled handwriting movements in Parkinson's disease","volume":"113","author":"Tucha","year":"2006"},{"key":"bib0008","first-page":"919","type":"other","article-title":"The influence of ergonomic factors and perceptual-motor abilities on handwriting performance","volume":"47","author":"Tseng","year":"1993"},{"key":"bib0009","first-page":"21","type":"other","article-title":"The neuroscience of handwriting: applications for forensic document examination","volume":"229","author":"Caligiuri","year":"2013"},{"key":"bib0010","first-page":"312","type":"other","article-title":"Handwriting development, competency, and intervention","volume":"49","author":"Feder","year":"2007"},{"key":"bib0011","first-page":"301","type":"other","article-title":"What can indices of handwriting quality tell us about parkinsonian handwriting?","volume":"10","author":"Phillips","year":"1991"},{"key":"bib0012","type":"other","article-title":"Standardized handwriting to assess bradykinesia, micrographia and tremor in Parkinson's disease","volume":"9","author":"Smits","year":"2014"},{"key":"bib0013","first-page":"67","type":"other","article-title":"Handwritten dynamics assessment through convolutional neural networks: an application to Parkinson's disease identification","volume":"87","author":"Pereira","year":"2018"},{"key":"bib0014","first-page":"136","type":"other","article-title":"A new computer vision-based approach to aid the diagnosis of Parkinson's disease[","author":"Pereira","year":"2016"},{"key":"bib0015","first-page":"116480","type":"other","article-title":"Reliable Parkinson's disease detection by analyzing handwritten drawings: construction of an unbiased cascaded learning system based on feature selection and adaptive boosting model","volume":"7","author":"Liaqat","year":"2019"},{"key":"bib0016","first-page":"78","type":"other","article-title":"Multiple-fine-tuned convolutional neural networks for Parkinson's disease diagnosis from offline handwriting","volume":"52","author":"Gazda","year":"2021"},{"key":"bib0017","first-page":"508","type":"other","article-title":"Decision support framework for Parkinson's disease based on novel handwriting markers","volume":"23","author":"Drotar","year":"2015"},{"key":"bib0018","type":"other","article-title":"Sequence-based dynamic handwriting analysis for Parkinson's disease detection with one-dimensional convolutions and BiGRUs","volume":"168","author":"Diaz","year":"2021"},{"key":"bib0019","first-page":"1","type":"other","article-title":"A systematic approach to diagnose Parkinson's disease through kinematic features extracted from handwritten drawings","author":"Lamba","year":"2021"},{"key":"bib0020","first-page":"121","type":"other","article-title":"Handwriting analysis to support neurodegenerative diseases diagnosis: a review","author":"De Stefano","year":"2018"},{"key":"bib0021","first-page":"17","type":"other","article-title":"Research on Parkinson's disease recognition algorithm based on sample enhancement","volume":"41","author":"Zhang","year":"2024"},{"key":"bib0022","first-page":"187","type":"other","article-title":"Parkinson's image detection and classification based on deep learning","volume":"24","author":"Li","year":"2024"},{"key":"bib0023","first-page":"259","type":"other","article-title":"Parkinson's Disease recognition using decorrelated convolutional neural networks: addressing imbalance and scanner bias in rs-fMRI data","volume":"14","author":"Patil","year":"2024"},{"key":"bib0024","first-page":"2641","type":"other","article-title":"Prediction of Parkinson's disease by transcranial sonography-based deep learning","volume":"45","author":"Ding","year":"2024"},{"key":"bib0025","type":"other","article-title":"Early diagnosis of Parkinson's disease using Continuous Convolution Network: handwriting recognition based on off-line hand drawing without template","volume":"130","author":"Li","year":"2022"},{"key":"bib0026","first-page":"39","type":"other","article-title":"Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease","volume":"67","author":"Drot\u00e1r","year":"2016"},{"key":"bib0027","first-page":"19","type":"other","article-title":"Assessing visual attributes of handwriting for prediction of neurological disorders \u2014 A case study on Parkinson's disease","volume":"121","author":"Moetesum","year":"2019"},{"key":"bib0028","first-page":"204","type":"other","article-title":"Dynamically enhanced static handwriting representation for Parkinson's disease detection","volume":"128","author":"Diaz","year":"2019"}],"container-title":["Medical Engineering &amp; Physics"],"original-title":[],"link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453325000529?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1350453325000529?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104333","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104333\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104333\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104333\/pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T15:01:14Z","timestamp":1769094074000},"score":1,"resource":{"primary":{"URL":"https:\/\/iopscience.iop.org\/article\/10.1016\/j.medengphy.2025.104333"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,9]]},"references-count":28,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,4,9]]},"published-print":{"date-parts":[[2025,5,1]]}},"URL":"https:\/\/doi.org\/10.1016\/j.medengphy.2025.104333","relation":{},"ISSN":["1350-4533","1873-4030"],"issn-type":[{"value":"1350-4533","type":"print"},{"value":"1873-4030","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,9]]},"assertion":[{"value":"A new network structure for Parkinson's handwriting image recognition","name":"article_title","label":"Article Title"},{"value":"Medical Engineering & Physics","name":"journal_title","label":"Journal Title"},{"value":"paper","name":"article_type","label":"Article Type"},{"value":"\u00a9 2025 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2024-05-09","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2025-04-04","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2025-04-09","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}