{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T09:39:46Z","timestamp":1782553186977,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702553"],"award-info":[{"award-number":["61702553"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"MOE (Ministry of Education in China) Project of Humanities and Social Sciences","award":["17YJCZH252"],"award-info":[{"award-number":["17YJCZH252"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2851382","type":"journal-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T18:39:33Z","timestamp":1530902373000},"page":"36825-36833","source":"Crossref","is-referenced-by-count":124,"title":["Deep Multi-Layer Perceptron Classifier for Behavior Analysis to Estimate Parkinson\u2019s Disease Severity Using Smartphones"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7013-9081","authenticated-orcid":false,"given":"Shaohua","family":"Wan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1772-0763","authenticated-orcid":false,"given":"Yin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8972-8094","authenticated-orcid":false,"given":"Mohsen","family":"Guizani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/s17112556"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2633304"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.07.085"},{"key":"ref32","first-page":"3641","article-title":"High accuracy discrimination of Parkinson’s disease participants from healthy controls using smartphones","author":"arora","year":"2014","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/mds.21198"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2016.03.004"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2762475"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2748561"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2011.2107916"},{"key":"ref34","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","author":"anguita","year":"2013","journal-title":"Proc ESANN"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2016.2581491"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2753478"},{"key":"ref11","first-page":"305","article-title":"Early diagnosis of Parkinson’s disease using a smartphone","author":"lan","year":"2014","journal-title":"Proc FNC\/MobiSPC"},{"key":"ref12","author":"witten","year":"2016","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2016.7389829"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7010516"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2646058"},{"key":"ref16","author":"xiao","year":"2018","journal-title":"Security in mobile edge caching with reinforcement learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/1475-925X-6-23"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2245674"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2036000"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2013.08.025"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2016.11.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2013.02.006"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2016.11.010"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2569094"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2741521"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2016.08.019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2007.08.023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/spe.2414"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1016\/j.compeleceng.2017.06.031","article-title":"A smartphone-based wearable sensors for monitoring real-time physiological data","volume":"65","author":"you","year":"2018","journal-title":"Comput Elect Eng"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2013.2282080"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.2005954"},{"key":"ref46","author":"lichman","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2012.2183367"},{"key":"ref45","article-title":"Evaluating the performance of three classification methods in diagnosis of Parkinson’s disease","author":"mostafa","year":"2018","journal-title":"Proc Int Conf Soft Comput Data Mining"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2009.06.040"},{"key":"ref47","first-page":"31","article-title":"Deep learning Parkinson’s from smartphone data","author":"stamate","year":"2017","journal-title":"Proc IEEE Int Conf Pervasive Comput Commun (PerCom)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/GHTC.2015.7344000"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2017.2697764"},{"key":"ref24","first-page":"6144","article-title":"The expected discounted penalty function under a renewal risk model with stochastic income","volume":"218","author":"zhao","year":"2012","journal-title":"Appl Math Comput"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.10.017"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.101"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/1964897.1964918"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2013.06.038"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.11.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2014.01.004"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08405749.pdf?arnumber=8405749","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:14:20Z","timestamp":1642004060000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8405749\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2851382","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}