{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T14:13:57Z","timestamp":1779891237249,"version":"3.53.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"MSIT (Ministry of Science and ICT), South Korea, through the Information Technology Research Center (ITRC) Support Program"},{"name":"Institute for Information & Communications Technology Planning & Evaluation","award":["IITP-2019-2016-0-00312"],"award-info":[{"award-number":["IITP-2019-2016-0-00312"]}]},{"DOI":"10.13039\/501100002546","name":"Sejong University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002546","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2974008","type":"journal-article","created":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T21:15:42Z","timestamp":1581714942000},"page":"35482-35495","source":"Crossref","is-referenced-by-count":82,"title":["A Spectrogram-Based Deep Feature Assisted Computer-Aided Diagnostic System for Parkinson\u2019s Disease"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0146-7289","authenticated-orcid":false,"given":"Laiba","family":"Zahid","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2709-0849","authenticated-orcid":false,"given":"Muazzam","family":"Maqsood","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehr Yahya","family":"Durrani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maheen","family":"Bakhtyar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junaid","family":"Baber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Habibullah","family":"Jamal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irfan","family":"Mehmood","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7142-5976","authenticated-orcid":false,"given":"Oh-Young","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1060","article-title":"Parkinson&#x2019;s disease classification using artificial neural networks","author":"castro","year":"2019","journal-title":"Proc 2nd Latin-American Conf Biomedical Engineering"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912648"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-1078"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2018.09.018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2019.05.019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113075"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-31332-6_48"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCS.2018.8631752"},{"key":"ref35","first-page":"6004","article-title":"Unobtrusive monitoring of speech impairments of Parkinson&#x2019;s disease patients through mobile devices","author":"arias-vergara","year":"2018","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process (ICASSP)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683595"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.03.005"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.31274\/cc-20240624-493","article-title":"Deep learning for image classification on very small datasets using transfer learning","author":"shu","year":"2019"},{"key":"ref11","article-title":"Characterization of the handwriting skills as a biomarker for parkinson disease","author":"castrillon","year":"2019","journal-title":"arXiv 1903 08226"},{"key":"ref12","first-page":"72","article-title":"Pathological speech classification using a convolutional neural network","author":"trinh","year":"2019","journal-title":"Proc IMVIP"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-815480-9.00015-3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref15","first-page":"342","article-title":"New Spanish speech corpus database for the analysis of people suffering from Parkinson&#x2019;s disease","author":"orozco-arroyave","year":"2014","journal-title":"Proc LREC"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s12551-018-0449-9"},{"key":"ref17","first-page":"2043","article-title":"Classification of patients with Parkinson&#x2019;s disease using medical imaging and artificial intelligence algorithms","author":"pereira","year":"2019","journal-title":"Proc Mediterr Conf Med Biol Eng Comp"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.10.020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-27947-9_7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.mehy.2019.109483"},{"key":"ref4","first-page":"223","article-title":"Automatic intelligibility assessment of Parkinson&#x2019;s disease with diadochokinetic exercises","author":"parra-gallego","year":"2018","journal-title":"Proc Eng Appl Workshop"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcomdis.2018.08.002"},{"key":"ref3","article-title":"Sex differences, quality of life and non-motor symptoms in Parkinson&#x2019;s disease","volume":"85","author":"georgiev","year":"2015","journal-title":"Neurology"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-2490"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.02.019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-2010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2018.05.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-017-9497-x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199810153391607"},{"key":"ref9","first-page":"4231","article-title":"Machine learning and similarity network approaches to support automatic classification of parkinson&#x2019;s diseases using accelerometer-based gait analysis","author":"rastegari","year":"2019","journal-title":"Proc 52nd Hawaii Int Conf Syst Sci"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cger.2019.08.002"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2936564"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.05.005"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27602"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2866873"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2019.07.001"},{"key":"ref42","article-title":"The history began from AlexNet: A comprehensive survey on deep learning approaches","author":"alom","year":"2018","journal-title":"arXiv 1803 01164"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-416"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15887-3_20"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-819"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.07.004"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/s19112645"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.11.001"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08999815.pdf?arnumber=8999815","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T17:20:02Z","timestamp":1722446402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8999815\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2974008","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}