{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T20:47:00Z","timestamp":1792010820879,"version":"4.4.0"},"reference-count":27,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100005278","name":"UdeA","doi-asserted-by":"publisher","award":["PI2023-58010"],"award-info":[{"award-number":["PI2023-58010"]}],"id":[{"id":"10.13039\/501100005278","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jvoice.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Voice"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.jvoice.2026.09.051","type":"journal-article","created":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T11:30:42Z","timestamp":1791891042000},"update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Parkinson's Disease Detection Using Empirical Fourier Decomposition of Speech Signal"],"prefix":"10.1016","author":[{"given":"Sudhansu Sekhar","family":"Nayak","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anand.D.","family":"Darji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Prashant K.","family":"Shah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8507-0782","authenticated-orcid":false,"given":"Juan Rafael","family":"Orozco-Arroyave","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jvoice.2026.09.051_bib1","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1002\/mds.27115","article-title":"Past, present, and future of parkinson\u2019s disease: a special essay on the 200th anniversary of the shaking palsy","volume":"32","author":"Obeso","year":"2017","journal-title":"Mov Disord"},{"key":"10.1016\/j.jvoice.2026.09.051_bib2","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.arr.2014.01.004","article-title":"Ageing and parkinson\u2019s disease: why is advancing age the biggest risk factor?","volume":"14","author":"Reeve","year":"2014","journal-title":"Ageing Res Rev"},{"key":"10.1016\/j.jvoice.2026.09.051_bib3","doi-asserted-by":"crossref","first-page":"S47","DOI":"10.1016\/j.parkreldis.2015.09.029","article-title":"Optimizing diagnosis in parkinson\u2019s disease: radionuclide imaging","volume":"22","author":"Arena","year":"2016","journal-title":"Park Relat Disord"},{"key":"10.1016\/j.jvoice.2026.09.051_bib4","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1044\/jshd.4301.47","article-title":"Frequency and cooccurrence of vocal tract dysfunctions in the speech of a large sample of parkinson patients","volume":"43","author":"Logemann","year":"1978","journal-title":"J Speech Hear Disord"},{"key":"10.1016\/j.jvoice.2026.09.051_bib5","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1002\/mds.22379","article-title":"Testing objective measures of motor impairment in early parkinson\u2019s disease: feasibility study of an at-home testing device","volume":"24","author":"Goetz","year":"2009","journal-title":"Mov Disord"},{"key":"10.1016\/j.jvoice.2026.09.051_bib6","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1121\/1.3514381","article-title":"Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated parkinson\u2019s disease","volume":"129","author":"Rusz","year":"2011","journal-title":"J Acoust Soc Am"},{"key":"10.1016\/j.jvoice.2026.09.051_bib7","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1111\/exsy.12106","article-title":"Spectral and cepstral analyses for parkinson\u2019s disease detection in spanish vowels and words","volume":"32","author":"Orozco-Arroyave","year":"2015","journal-title":"Expert Syst"},{"key":"10.1016\/j.jvoice.2026.09.051_bib8","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.bbe.2019.05.005","article-title":"Parkinson disease prediction using intrinsic mode function based features from speech signal","volume":"40","author":"Karan","year":"2020","journal-title":"Biocybern Biomed Eng"},{"key":"10.1016\/j.jvoice.2026.09.051_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2020.102050","article-title":"Hilbert spectrum analysis for automatic detection and evaluation of parkinson\u2019s speech","volume":"61","author":"Karan","year":"2020","journal-title":"Biomed Signal Process Control"},{"key":"10.1016\/j.jvoice.2026.09.051_bib10","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.patrec.2019.04.005","article-title":"Detecting parkinson\u2019s disease with sustained phonation and speech signals using machine learning techniques","volume":"125","author":"Almeida","year":"2019","journal-title":"Pattern Recognit Lett"},{"key":"10.1016\/j.jvoice.2026.09.051_bib11","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1016\/j.bbe.2021.04.014","article-title":"An improved framework for parkinson\u2019s disease prediction using variational mode decomposition-hilbert spectrum of speech signal","volume":"41","author":"Karan","year":"2021","journal-title":"Biocybern Biomed Eng"},{"key":"10.1016\/j.jvoice.2026.09.051_bib12","doi-asserted-by":"crossref","DOI":"10.1016\/j.csl.2021.101216","article-title":"Non-negative matrix factorization-based time-frequency feature extraction of voice signal for parkinson\u2019s disease prediction","volume":"69","author":"Karan","year":"2021","journal-title":"Comput Speech Lang"},{"key":"10.1016\/j.jvoice.2026.09.051_bib13","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s13534-023-00283-x","article-title":"Time-frequency analysis of speech signal using chirplet transform for automatic diagnosis of parkinson\u2019s disease","volume":"13","author":"Warule","year":"2023","journal-title":"Biomed Eng Lett"},{"key":"10.1016\/j.jvoice.2026.09.051_bib14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LSENS.2023.3311670","article-title":"Time-frequency analysis of speech signal using wavelet synchrosqueezing transform for automatic detection of parkinson\u2019s disease","volume":"7","author":"Warule","year":"2023","journal-title":"IEEE Sens Lett"},{"key":"10.1016\/j.jvoice.2026.09.051_bib15","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2021.108155","article-title":"Empirical fourier decomposition: An accurate signal decomposition method for nonlinear and non-stationary time series analysis","volume":"163","author":"Zhou","year":"2022","journal-title":"Mech Syst Signal Process"},{"key":"10.1016\/j.jvoice.2026.09.051_bib16","doi-asserted-by":"crossref","first-page":"3999","DOI":"10.1109\/TSP.2013.2265222","article-title":"Empirical wavelet transform","volume":"61","author":"Gilles","year":"2013","journal-title":"IEEE Trans Signal Process"},{"key":"10.1016\/j.jvoice.2026.09.051_bib17","doi-asserted-by":"crossref","unstructured":"J.R. Orozco-Arroyave J.D. Arias-Londo\u00f1o J.F. Vargas-Bonilla M.C. Gonzalez-R\u00e1tiva E. N\u00f6th New spanish speech corpus database for the analysis of people suffering from parkinson\u2019s disease (LREC)2014 342 347.(LREC).","DOI":"10.63317\/3c643i6hcfzo"},{"key":"10.1016\/j.jvoice.2026.09.051_bib18","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1071\/EG17004","article-title":"Seismic signal denoising using thresholded variational mode decomposition","volume":"49","author":"Li","year":"2018","journal-title":"Explor Geophys"},{"key":"10.1016\/j.jvoice.2026.09.051_bib19","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1049\/el.2016.4439","article-title":"Speech enhancement based on memd-vmd method","volume":"53","author":"Upadhyay","year":"2017","journal-title":"Electron Lett"},{"key":"10.1016\/j.jvoice.2026.09.051_bib20","doi-asserted-by":"crossref","first-page":"2003","DOI":"10.1109\/TBME.2017.2650259","article-title":"A multivariate approach for patient-specific eeg seizure detection using empirical wavelet transform","volume":"64","author":"Bhattacharyya","year":"2017","journal-title":"IEEE Trans Biomed Eng"},{"key":"10.1016\/j.jvoice.2026.09.051_bib21","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1109\/TAFFC.2017.2761750","article-title":"Analysis and classification of cold speech using variational mode decomposition","volume":"11","author":"Deb","year":"2017","journal-title":"IEEE Trans Affect Comput"},{"key":"10.1016\/j.jvoice.2026.09.051_bib22","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1109\/TIFS.2011.2159000","article-title":"Modulation recognition in continuous phase modulation using approximate entropy","volume":"6","author":"Pawar","year":"2011","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"10.1016\/j.jvoice.2026.09.051_bib23","doi-asserted-by":"crossref","DOI":"10.1016\/j.apacoust.2023.109578","article-title":"Variational mode decomposition based acoustic and entropy features for speech emotion recognition","volume":"212","author":"Mishra","year":"2023","journal-title":"Appl Acoust"},{"key":"10.1016\/j.jvoice.2026.09.051_bib24","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2023.104653","article-title":"Sinusoidal model-based diagnosis of the common cold from the speech signal","volume":"83","author":"Warule","year":"2023","journal-title":"Biomed Signal Process Control"},{"key":"10.1016\/j.jvoice.2026.09.051_bib25","series-title":"Support Vector Machines","first-page":"285","article-title":"Support vector machines for classification","author":"Steinwart","year":"2008"},{"key":"10.1016\/j.jvoice.2026.09.051_bib26","doi-asserted-by":"crossref","unstructured":"D. Kovac K. Novotny J. Mekyska L. Brabenec M. Kostalova I. Rektorova Exploring speech profiles in parkinson\u2019s disease patients on long-term dopaminergic medication 2024 47th International Conference on Telecommunications and Signal Processing (TSP) 2024 IEEE 270 273.","DOI":"10.1109\/TSP63128.2024.10605914"},{"key":"10.1016\/j.jvoice.2026.09.051_bib27","doi-asserted-by":"crossref","first-page":"1386","DOI":"10.1109\/TASLP.2023.3260709","article-title":"Exemplar-based sparse representations for detection of parkinson\u2019s disease from speech","volume":"31","author":"Reddy","year":"2023","journal-title":"IEEE\/ACM Trans Audio Speech Lang Process"}],"container-title":["Journal of Voice"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0892199726005254?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0892199726005254?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T20:09:20Z","timestamp":1792008560000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0892199726005254"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":27,"alternative-id":["S0892199726005254"],"URL":"https:\/\/doi.org\/10.1016\/j.jvoice.2026.09.051","relation":{},"ISSN":["0892-1997"],"issn-type":[{"value":"0892-1997","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Parkinson's Disease Detection Using Empirical Fourier Decomposition of Speech Signal","name":"articletitle","label":"Article Title"},{"value":"Journal of Voice","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvoice.2026.09.051","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Voice Foundation. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}