{"id":"https://openalex.org/W4403511760","doi":"https://doi.org/10.23919/spa61993.2024.10715608","title":"Shannon Wavelet Entropy-based Machine Learning Applications in Parkinson\u2019s Disease Diagnosis with Videonystagmography","display_name":"Shannon Wavelet Entropy-based Machine Learning Applications in Parkinson\u2019s Disease Diagnosis with Videonystagmography","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4403511760","doi":"https://doi.org/10.23919/spa61993.2024.10715608"},"language":"en","primary_location":{"id":"doi:10.23919/spa61993.2024.10715608","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa61993.2024.10715608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026214071","display_name":"\u0130lke Kurt","orcid":"https://orcid.org/0000-0001-5911-9282"},"institutions":[{"id":"https://openalex.org/I12387023","display_name":"Trakya University","ror":"https://ror.org/00xa0xn82","country_code":"TR","type":"education","lineage":["https://openalex.org/I12387023"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130lke Kurt","raw_affiliation_strings":["Trakya University,Department of Biomedical Device Technology,Edirne,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trakya University,Department of Biomedical Device Technology,Edirne,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I12387023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023369251","display_name":"Sezer Ulukaya","orcid":"https://orcid.org/0000-0003-0473-7547"},"institutions":[{"id":"https://openalex.org/I12387023","display_name":"Trakya University","ror":"https://ror.org/00xa0xn82","country_code":"TR","type":"education","lineage":["https://openalex.org/I12387023"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sezer Ulukaya","raw_affiliation_strings":["Trakya University,Department of Electrical and Electronics Engineering,Edirne,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trakya University,Department of Electrical and Electronics Engineering,Edirne,Turkey","institution_ids":["https://openalex.org/I12387023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090375675","display_name":"O\u011fuzhan Erdem","orcid":"https://orcid.org/0000-0002-0020-3858"},"institutions":[{"id":"https://openalex.org/I12387023","display_name":"Trakya University","ror":"https://ror.org/00xa0xn82","country_code":"TR","type":"education","lineage":["https://openalex.org/I12387023"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"O\u011fuzhan Erdem","raw_affiliation_strings":["Trakya University,Department of Electrical and Electronics Engineering,Edirne,Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trakya University,Department of Electrical and Electronics Engineering,Edirne,Turkey","institution_ids":["https://openalex.org/I12387023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078477610","display_name":"Sibel G\u00fcler","orcid":"https://orcid.org/0000-0001-6375-6153"},"institutions":[{"id":"https://openalex.org/I40790370","display_name":"Yalova University","ror":"https://ror.org/01x18ax09","country_code":"TR","type":"education","lineage":["https://openalex.org/I40790370"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sibel G\u00fcler","raw_affiliation_strings":["Yalova University Faculty of Medicine,Department of Neurology,Yalova,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yalova University Faculty of Medicine,Department of Neurology,Yalova,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I40790370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038426844","display_name":"Cem Uzun","orcid":"https://orcid.org/0000-0001-5675-829X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cem Uzun","raw_affiliation_strings":["Ko&#x00E7; University School of Medicine,Head and Neck Surgery,Department of Otorhinolaryngology,&#x0130;stanbul,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ko&#x00E7; University School of Medicine,Head and Neck Surgery,Department of Otorhinolaryngology,&#x0130;stanbul,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"127","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10919","display_name":"Neurological disorders and treatments","score":0.8862000107765198,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10919","display_name":"Neurological disorders and treatments","score":0.8862000107765198,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.7598999738693237,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.7465000152587891,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5834161043167114},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5520758628845215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5059804320335388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5025036334991455},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3682705760002136},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3314797878265381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32905203104019165},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11977756023406982}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5834161043167114},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5520758628845215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059804320335388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5025036334991455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3682705760002136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3314797878265381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32905203104019165},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11977756023406982},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa61993.2024.10715608","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa61993.2024.10715608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1602041571","https://openalex.org/W1987347218","https://openalex.org/W2034815609","https://openalex.org/W2037760741","https://openalex.org/W2039431368","https://openalex.org/W2060064391","https://openalex.org/W2061951880","https://openalex.org/W2106706488","https://openalex.org/W2138526483","https://openalex.org/W2147994416","https://openalex.org/W2207771596","https://openalex.org/W2560360754","https://openalex.org/W2621094433","https://openalex.org/W2754909487","https://openalex.org/W2773982115","https://openalex.org/W2907889843","https://openalex.org/W2909603526","https://openalex.org/W3003534709","https://openalex.org/W3006012411","https://openalex.org/W3200478115","https://openalex.org/W4206481149","https://openalex.org/W4207061921","https://openalex.org/W4387806936","https://openalex.org/W4390519544","https://openalex.org/W4394613925","https://openalex.org/W6686113964"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2014650515"],"abstract_inverted_index":{"Parkinson\u2019s":[0],"disease":[1],"(PD)":[2],"patients":[3],"exhibit":[4],"alterations":[5],"in":[6,13,37,73,105],"saccadic":[7],"eye":[8,131],"movements":[9],"due":[10],"to":[11,85,142],"dysfunction":[12],"the":[14,25,28,38,45,106,118,121,125,129,135,144,167,190,201],"basal":[15],"ganglia-thalamocortical":[16],"circuitry,":[17],"which":[18],"regulates":[19],"movement":[20,132],"control.":[21],"This":[22],"study":[23],"examines":[24],"usability":[26],"of":[27,42,47,57,75,94,124,192,204],"videonystagmograph":[29],"(VNG)":[30],"as":[31],"an":[32],"alternative":[33],"non-invasive":[34],"diagnostic":[35],"tool":[36],"early":[39,202],"stage":[40],"detection":[41,203],"PD":[43,61],"with":[44,69,153,161,172],"approach":[46],"machine":[48],"learning":[49],"methods.":[50],"In":[51],"this":[52,103],"study,":[53],"a":[54,70,87,110],"database":[55],"consisting":[56],"100":[58],"participants":[59],"(50":[60],"and":[62,80,128,163,179,194],"50":[63],"healthy":[64],"controls":[65],"(HC))":[66],"was":[67,114,140],"created":[68,115],"balanced":[71],"distribution":[72],"terms":[74],"age":[76,79],"range,":[77],"average":[78],"gender.":[81],"Participants":[82],"were":[83],"asked":[84],"follow":[86],"stimulus":[88,126],"that":[89,189],"appeared":[90],"randomly":[91],"on":[92],"screen":[93],"VNG":[95,193],"system":[96],"for":[97,199],"approximately":[98],"42":[99],"seconds.":[100],"To":[101],"eliminate":[102],"randomness":[104],"time":[107],"series":[108],"patterns,":[109],"new":[111],"data":[112],"set":[113],"by":[116],"taking":[117],"difference":[119],"between":[120],"reference":[122],"signal":[123,127,145],"participants\u2019":[130],"signals":[133],"during":[134],"tests.":[136],"Shannon":[137],"wavelet":[138],"entropy":[139],"employed":[141],"calculate":[143],"entropy.":[146],"Leave-one-subject-out":[147],"(LOSO)":[148],"cross-validation":[149],"scheme":[150],"is":[151],"used":[152],"k-nearest":[154],"neighbors":[155],"(kNN)":[156],"classifiers.":[157],"The":[158],"kNN":[159],"classifier":[160],"k=3":[162],"Chebyshev":[164],"distance":[165],"achieved":[166],"acceptable":[168],"patient-healthy":[169],"classification":[170],"performance":[171],"84.0%":[173],"accuracy,":[174],"82.7%":[175],"sensitivity,":[176],"84.30%":[177],"F-score":[178],"0.68":[180],"Matthew\u2019s":[181],"Correlation":[182],"Coefficient":[183],"scores.":[184],"It":[185],"can":[186],"be":[187],"concluded":[188],"intersection":[191],"ML":[195],"holds":[196],"great":[197],"promise":[198],"advancing":[200],"PD.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
