{"id":"https://openalex.org/W4382678716","doi":"https://doi.org/10.3233/jifs-230183","title":"Deep convolution neural network based Parkinson\u2019s disease detection using line spectral frequency spectrum of running speech","display_name":"Deep convolution neural network based Parkinson\u2019s disease detection using line spectral frequency spectrum of running speech","publication_year":2023,"publication_date":"2023-06-30","ids":{"openalex":"https://openalex.org/W4382678716","doi":"https://doi.org/10.3233/jifs-230183"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230183","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230183","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"},"type":"article","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/A5016159885","display_name":"Rani Kumari","orcid":"https://orcid.org/0000-0003-4889-080X"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rani Kumari","raw_affiliation_strings":["School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil N\u0101du, India"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil N\u0101du, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058024543","display_name":"Prakash Ramachandran","orcid":"https://orcid.org/0000-0003-4579-8880"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prakash Ramachandran","raw_affiliation_strings":["School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil N\u0101du, India"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil N\u0101du, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058024543"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.7221,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70090908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"45","issue":"3","first_page":"4599","last_page":"4615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11358","display_name":"Dysphagia Assessment and Management","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.7900726199150085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804161310195923},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7157702445983887},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5651018619537354},{"id":"https://openalex.org/keywords/phonation","display_name":"Phonation","score":0.5514420866966248},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5297445058822632},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5095420479774475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5027437210083008},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4543447196483612},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44765836000442505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44184210896492004},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42495352029800415},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4145081043243408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15166693925857544}],"concepts":[{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.7900726199150085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804161310195923},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7157702445983887},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5651018619537354},{"id":"https://openalex.org/C173988693","wikidata":"https://www.wikidata.org/wiki/Q678132","display_name":"Phonation","level":2,"score":0.5514420866966248},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5297445058822632},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5095420479774475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5027437210083008},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4543447196483612},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44765836000442505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44184210896492004},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42495352029800415},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4145081043243408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15166693925857544},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230183","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230183","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W823218635","https://openalex.org/W1529753275","https://openalex.org/W1533546067","https://openalex.org/W1976265573","https://openalex.org/W2003260949","https://openalex.org/W2008451972","https://openalex.org/W2016125416","https://openalex.org/W2037760741","https://openalex.org/W2084627109","https://openalex.org/W2085806797","https://openalex.org/W2091317686","https://openalex.org/W2096310022","https://openalex.org/W2289372264","https://openalex.org/W2400436994","https://openalex.org/W2559968629","https://openalex.org/W2580210409","https://openalex.org/W2743691251","https://openalex.org/W2773982115","https://openalex.org/W2786711895","https://openalex.org/W2792633797","https://openalex.org/W2898153030","https://openalex.org/W2903737112","https://openalex.org/W2912116204","https://openalex.org/W2921974788","https://openalex.org/W2922768692","https://openalex.org/W2939302023","https://openalex.org/W2954368032","https://openalex.org/W2972848526","https://openalex.org/W2980090549","https://openalex.org/W2990571471","https://openalex.org/W2996285166","https://openalex.org/W3001601968","https://openalex.org/W3003567994","https://openalex.org/W3024496522","https://openalex.org/W3035485080","https://openalex.org/W3048731797","https://openalex.org/W3106870453","https://openalex.org/W3106962825","https://openalex.org/W3126813237","https://openalex.org/W3139978924","https://openalex.org/W3140854437","https://openalex.org/W3160725687","https://openalex.org/W3166697285","https://openalex.org/W3197638240","https://openalex.org/W3204018607","https://openalex.org/W3206263158","https://openalex.org/W3208022787","https://openalex.org/W4224885307","https://openalex.org/W4226209810","https://openalex.org/W4230177595","https://openalex.org/W4292858607","https://openalex.org/W4293224308","https://openalex.org/W4300773119","https://openalex.org/W6758519773","https://openalex.org/W6760733226","https://openalex.org/W6760883498","https://openalex.org/W6772076596","https://openalex.org/W6802316868","https://openalex.org/W6803088531","https://openalex.org/W6842367108","https://openalex.org/W6845169636"],"related_works":["https://openalex.org/W1987047733","https://openalex.org/W2082558178","https://openalex.org/W4229459196","https://openalex.org/W2052611785","https://openalex.org/W2168495900","https://openalex.org/W2601192274","https://openalex.org/W2588161305","https://openalex.org/W45687627","https://openalex.org/W2470236000","https://openalex.org/W2097143083"],"abstract_inverted_index":{"The":[0,67,170,179,209],"deformation":[1],"of":[2,20,28,32,96,119,153,162,212,258,261,264,268],"speech":[3,30,137,168,220,239],"caused":[4],"by":[5,241],"glottic":[6],"vocal":[7,69],"tract":[8,70],"is":[9,40,76,109,140,182,223,235],"an":[10,79],"early":[11],"bio":[12],"marker":[13],"for":[14,42,123,129,134,155,164,173,202,216,237,247],"Parkinson\u2019s":[15,43,106,203],"disease.":[16,107],"A":[17],"novel":[18],"idea":[19],"Line":[21,87],"Spectral":[22],"Frequency":[23,193],"trajectory":[24,90],"spectrum":[25,91],"image":[26],"representation":[27],"the":[29,33,48,53,56,86,94,97,101,112,116,120,143,175,213,252],"signals":[31],"subjects":[34],"in":[35,46,65,149,190,199,206],"Deep":[36,144],"Convolution":[37,145],"Neural":[38,146],"Network":[39,147],"proposed":[41,113,180,214],"disease":[44,204],"classification":[45],"which":[47,191,222],"convolution":[49],"layer":[50],"automatically":[51],"learn":[52],"features":[54],"from":[55],"input":[57],"images":[58,92],"and":[59,85,99,132,159,251,266],"no":[60],"separate":[61,243],"feature":[62],"calculation":[63],"stage":[64],"required.":[66],"human":[68],"that":[71,111,142],"produces":[72],"a":[73,150],"short":[74],"phonetics":[75],"assumed":[77],"as":[78],"all-pole":[80],"Infinite":[81],"impulse":[82],"response":[83],"system":[84,98],"spectral":[88],"frequency":[89],"represents":[93],"poles":[95],"reflects":[100],"voice":[102,228],"defects":[103],"due":[104],"to":[105],"It":[108,139],"shown":[110],"method":[114,215],"outperforms":[115],"existing":[117],"state":[118],"art":[121],"work":[122,181,189],"two":[124],"different":[125],"utterance":[126],"tasks":[127],"one":[128],"sustained":[130,156],"phonation":[131,157],"another":[133,186],"natural":[135],"running":[136,167,207,219,238],"dataset.":[138,169],"demonstrated":[141],"results":[148],"training":[151,160],"accuracy":[152,161],"92.5%":[154],"dataset":[158,221,240],"99.18%":[163],"King\u2019s":[165,217],"college":[166,218],"validation":[171],"accuracies":[172],"both":[174],"datasets":[176],"are":[177,197,255],"100%.":[178],"much":[183],"better":[184],"than":[185],"recent":[187],"benchmark":[188],"Mel":[192],"Cepstral":[194],"Coefficient":[195],"parameters":[196],"used":[198],"machine":[200],"learning":[201],"detection":[205],"speech.":[208],"high":[210],"performance":[211,233,253],"collected":[224],"through":[225],"mobile":[226],"device":[227],"recordings,":[229],"gains":[230],"attention.":[231],"Rigorous":[232],"analysis":[234],"performed":[236],"using":[242],"isolated":[244],"test":[245],"set":[246],"repeated":[248],"50":[249],"trials":[250],"metrics":[254],"F1":[256],"score":[257],"99.37%,":[259],"sensitivity":[260],"100%,":[262],"precision":[263],"98.75%":[265],"specificity":[267],"99.27%.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
