{"id":"https://openalex.org/W3090639436","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207380","title":"Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics","display_name":"Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090639436","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207380","mag":"3090639436"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5021224978","display_name":"Lerina Aversano","orcid":"https://orcid.org/0000-0003-2436-6835"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lerina Aversano","raw_affiliation_strings":["Dept. of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032066141","display_name":"Mario Luca Bernardi","orcid":"https://orcid.org/0000-0002-3223-7032"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Luca Bernardi","raw_affiliation_strings":["Dept. of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027577443","display_name":"Marta Cimitile","orcid":"https://orcid.org/0000-0003-2403-8313"},"institutions":[{"id":"https://openalex.org/I4210130905","display_name":"Unitelma Sapienza University","ror":"https://ror.org/04dfrdm61","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210130905"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marta Cimitile","raw_affiliation_strings":["Unitelma Sapienza University, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unitelma Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I4210130905"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022185440","display_name":"Riccardo Pecori","orcid":"https://orcid.org/0000-0002-5948-5845"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Pecori","raw_affiliation_strings":["Dept. of Engineering, University of Sannio, Benevento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Engineering, University of Sannio, Benevento, Italy","institution_ids":["https://openalex.org/I16337185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1784,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.87276648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9871000051498413,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9871000051498413,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9524000287055969,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9391999840736389,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278642058372498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6603796482086182},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6265542507171631},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6250841617584229},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5904662609100342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5579831600189209},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4627762734889984},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43909239768981934},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42104238271713257},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4204345941543579},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3674997091293335},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15082785487174988},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09639084339141846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278642058372498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603796482086182},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6265542507171631},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6250841617584229},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5904662609100342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5579831600189209},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4627762734889984},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43909239768981934},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42104238271713257},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4204345941543579},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3674997091293335},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15082785487174988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09639084339141846},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniecampus.it:11389/30151","is_oa":false,"landing_page_url":"http://hdl.handle.net/11389/30151","pdf_url":null,"source":{"id":"https://openalex.org/S4306400077","display_name":"IRIS eCampus Telematic University (Universit\u00e0 degli Studi eCampus)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167322064","host_organization_name":"Universit\u00e0 degli Studi eCampus","host_organization_lineage":["https://openalex.org/I167322064"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1977177161","https://openalex.org/W2052513666","https://openalex.org/W2102446222","https://openalex.org/W2106411961","https://openalex.org/W2116873850","https://openalex.org/W2150341604","https://openalex.org/W2156150820","https://openalex.org/W2166107799","https://openalex.org/W2171056747","https://openalex.org/W2547571216","https://openalex.org/W2615706231","https://openalex.org/W2735939755","https://openalex.org/W2765693785","https://openalex.org/W2789246757","https://openalex.org/W2794295133","https://openalex.org/W2796593831","https://openalex.org/W2885333657","https://openalex.org/W2910721721","https://openalex.org/W2921806561","https://openalex.org/W2956543334","https://openalex.org/W2964121744","https://openalex.org/W2969937244","https://openalex.org/W2978030724","https://openalex.org/W2979922932","https://openalex.org/W2981374454","https://openalex.org/W2981665155","https://openalex.org/W3139281727","https://openalex.org/W4205947740","https://openalex.org/W4320930577","https://openalex.org/W6604254268","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6675448870","https://openalex.org/W6676179485","https://openalex.org/W6746023985","https://openalex.org/W6766837696","https://openalex.org/W6767328027"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Parkinson's":[0],"disease":[1,42,103],"is":[2,49],"a":[3,60,81,112],"degenerative":[4],"movement":[5],"disorder":[6],"causing":[7],"considerable":[8],"disability.":[9],"However,":[10],"the":[11,26,34,44,70,78,93,98,102,107,116,136,142,149,154,158,166],"early":[12],"detection":[13],"of":[14,18,28,36,46,80,101],"this":[15,32,41,56],"syndrome":[16,95],"and":[17,52,96],"its":[19,120],"progression":[20,99],"rates":[21,100],"may":[22],"be":[23],"decisive":[24],"for":[25,141],"identification":[27],"appropriate":[29],"therapies.":[30],"For":[31],"reason,":[33],"adoption":[35],"Neural":[37,62],"Networks":[38],"to":[39,68,88,118,133],"detect":[40,97],"on":[43,165],"base":[45],"walking":[47],"information":[48,71],"gaining":[50],"more":[51,53],"interest.":[54],"In":[55],"paper,":[57],"we":[58,110,127],"defined":[59],"Deep":[61],"Network":[63],"based":[64],"approach":[65,85],"allowing":[66],"one":[67,87],"exploit":[69],"coming":[72],"from":[73],"various":[74],"sensors":[75],"located":[76],"under":[77],"feet":[79],"person.":[82],"The":[83,145],"proposed":[84,108,150],"allows":[86],"discriminate":[89],"people":[90],"affected":[91],"by":[92],"Parkinson":[94],"itself.":[104],"To":[105],"evaluate":[106],"architecture":[109],"used":[111],"known":[113],"dataset":[114],"with":[115,122,153],"aim":[117],"compare":[119],"performance":[121],"other":[123,163],"similar":[124],"approaches.":[125],"Moreover,":[126],"performed":[128],"an":[129],"in-depth":[130],"hyper-parameter":[131],"optimization":[132],"find":[134],"out":[135],"best":[137,155],"neural":[138],"network":[139],"configuration":[140],"specific":[143],"task.":[144],"comparison":[146],"shows":[147],"that":[148],"classifier,":[151],"trained":[152],"parameters,":[156],"outperforms":[157],"results":[159],"proviously":[160],"obtained":[161],"in":[162],"studies":[164],"same":[167],"dataset.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}