{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:38:51Z","timestamp":1778344731116,"version":"3.51.4"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"MINECO Spanish","award":["PID2020-113242RB-I00"],"award-info":[{"award-number":["PID2020-113242RB-I00"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3119035","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T22:57:43Z","timestamp":1633906663000},"page":"141599-141610","source":"Crossref","is-referenced-by-count":19,"title":["Exploiting Spectral and Cepstral Handwriting Features on Diagnosing Parkinson\u2019s Disease"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4187-9352","authenticated-orcid":false,"given":"Juan A.","family":"Nolazco-Flores","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0605-1282","authenticated-orcid":false,"given":"Marcos","family":"Faundez-Zanuy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1160-4163","authenticated-orcid":false,"given":"V. M.","family":"De La Cueva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6195-193X","authenticated-orcid":false,"given":"Jiri","family":"Mekyska","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2014.08.007"},{"key":"ref38","year":"2021","journal-title":"The H2O Python Module"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114405"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s40860-021-00130-9"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2020.101984"},{"key":"ref30","first-page":"1","article-title":"Parkinson&#x2019;s disease detection using dynamic writing traces warping","author":"deharab","year":"2020","journal-title":"Proc 28th Iranian Conf Electr Eng (ICEE)"},{"key":"ref37","year":"2021","journal-title":"H2O ai H2O AutoML"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3058443"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/app8122566"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2902936"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.2007.131045"},{"key":"ref40","first-page":"856","article-title":"Feature selection for high-dimensional data: A fast correlation-based filter solution","author":"yu","year":"2003","journal-title":"Proc 12th International Conf on Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mds.28465"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27305"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/212675"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/mds.25990"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00702-017-1676-0"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-65654-6_3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.102418"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.06.052"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2245674"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2016.01.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.05.013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105305"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7488-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/app9214666"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2020.108727"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2018.2840679"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/mds.26424"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2017.13"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/34.824821"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22029"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-020-09755-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2019.2940900"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.04.007"},{"key":"ref21","article-title":"Supervised machine learning based gait classification system for early detection and stage classification of Parkinson&#x2019;s disease","volume":"94","author":"balaji","year":"2020","journal-title":"Appl Soft Comput"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-35166-3_20"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.07.007"},{"key":"ref41","year":"2021","journal-title":"RadViz Visualizer"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3390\/diseases7010018"},{"key":"ref44","first-page":"1","article-title":"Analysis of Parkinson&#x2019;s disease dysgraphia based on optimized fractional order derivative features","author":"mucha","year":"2019","journal-title":"Proc 27th Eur Signal Process Conf (EUSIPCO)"},{"key":"ref26","first-page":"1","article-title":"Detection of Parkinson&#x2019;s disease from handwriting using deep learning: A comparative study","author":"taleb","year":"2020","journal-title":"Evol Intell"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.08.018"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2932037"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09565915.pdf?arnumber=9565915","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,21]],"date-time":"2022-02-21T22:15:56Z","timestamp":1645481756000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9565915\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3119035","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}