{"id":"https://openalex.org/W2899154945","doi":"https://doi.org/10.1109/embc.2018.8512972","title":"A Deep Learning Framework for the Remote Detection of Parkinson\u2019S Disease Using Smart-Phone Sensor Data","display_name":"A Deep Learning Framework for the Remote Detection of Parkinson\u2019S Disease Using Smart-Phone Sensor Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2899154945","doi":"https://doi.org/10.1109/embc.2018.8512972","mag":"2899154945","pmid":"https://pubmed.ncbi.nlm.nih.gov/30441061"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102968191","display_name":"John Prince","orcid":"https://orcid.org/0000-0002-3203-8754"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"John Prince","raw_affiliation_strings":["University of Oxford, Oxford, Oxfordshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, Oxfordshire, GB","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064593698","display_name":"Maarten De Vos","orcid":"https://orcid.org/0000-0002-3482-5145"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maarten de Vos","raw_affiliation_strings":["University of Oxford, Oxford, Oxfordshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, Oxfordshire, GB","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102968191"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":2.4958,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.88893587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2018","issue":null,"first_page":"3144","last_page":"3147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.992900013923645,"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/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.992900013923645,"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/T10863","display_name":"Voice and Speech Disorders","score":0.9100000262260437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7713733911514282},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7052063941955566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6863468289375305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6835498809814453},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6378603577613831},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5516954660415649},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5067365765571594},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48773178458213806},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4617486298084259},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44106870889663696},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43795424699783325},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.42202794551849365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713733911514282},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7052063941955566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6863468289375305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6835498809814453},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6378603577613831},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5516954660415649},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5067365765571594},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48773178458213806},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4617486298084259},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44106870889663696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43795424699783325},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.42202794551849365},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000068997","descriptor_name":"Smartphone","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8512972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30441061","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30441061","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1551567179","https://openalex.org/W1825675169","https://openalex.org/W2095705004","https://openalex.org/W2097117768","https://openalex.org/W2134312057","https://openalex.org/W2158145372","https://openalex.org/W2162659118","https://openalex.org/W2163605009","https://openalex.org/W2229990841","https://openalex.org/W2259263553","https://openalex.org/W2296350496","https://openalex.org/W2500368946","https://openalex.org/W2531966375","https://openalex.org/W2561981131","https://openalex.org/W2727885084","https://openalex.org/W2763160983","https://openalex.org/W2793848612","https://openalex.org/W2962882167","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6638389677","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6689406296","https://openalex.org/W6740578948"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2528680939","https://openalex.org/W4312415459"],"abstract_inverted_index":{"The":[0],"assessment":[1],"of":[2,41,47,60,81,102,114,131,152,161],"Parkinson's":[3],"disease":[4,17,78,115],"(PD)":[5],"using":[6],"wearable":[7],"sensors":[8],"in":[9,32,72],"non-clinical":[10],"environments":[11],"presents":[12],"an":[13,103],"opportunity":[14],"for":[15,164],"objective":[16],"classification":[18,61,79],"and":[19,25,52,137],"severity":[20],"prediction":[21],"on":[22,63,70],"a":[23,45,58,132,142],"high-frequency":[24],"longitudinal":[26],"basis.":[27],"However,":[28],"many":[29,39],"challenges":[30,151],"exist":[31],"analysing":[33,153],"remotely":[34,154],"collected":[35,69,155],"data":[36,42,68],"due":[37],"to":[38],"sources":[40],"corruption.":[43],"Using":[44],"cohort":[46],"1,815":[48],"participants":[49,126],"(866":[50],"controls":[51],"949":[53],"with":[54],"PD)":[55],"we":[56,147],"implement":[57],"range":[59],"algorithms":[62],"Alternate":[64],"Finger":[65],"Tapping":[66],"test":[67],"smart-phones":[71],"remote":[73],"environments.":[74],"We":[75,107,121],"compare":[76],"the":[77,95,100,109,125,138,149,159],"ability":[80],"two":[82,88],"traditional":[83,119],"machine":[84],"learning":[85,91,111,163],"methods":[86],"against":[87],"state-of-the-art":[89],"deep":[90,110,162],"approaches,":[92],"determining":[93],"if":[94],"latter":[96],"is":[97],"successful":[98],"without":[99],"definition":[101],"explicit":[104],"feature":[105,135],"set.":[106],"find":[108],"approaches":[112],"capable":[113],"classification,":[116],"often":[117],"outperforming":[118],"methods.":[120],"show":[122],"similarities":[123],"between":[124],"successfully":[127],"classified":[128],"through":[129],"use":[130],"manually":[133],"extracted":[134],"set,":[136],"features":[139],"learnt":[140],"by":[141],"convolutional":[143],"neural":[144],"network.":[145],"Finally,":[146],"discuss":[148],"broader":[150],"datasets":[156],"whilst":[157],"highlighting":[158],"suitability":[160],"assessing":[165],"PD":[166],"when":[167],"large":[168],"participant":[169],"numbers":[170],"are":[171],"available.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}