{"id":"https://openalex.org/W4392928483","doi":"https://doi.org/10.1093/jamia/ocae050","title":"Generalizing Parkinson\u2019s disease detection using keystroke dynamics: a self-supervised approach","display_name":"Generalizing Parkinson\u2019s disease detection using keystroke dynamics: a self-supervised approach","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392928483","doi":"https://doi.org/10.1093/jamia/ocae050","pmid":"https://pubmed.ncbi.nlm.nih.gov/38497957"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocae050","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae050","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11105137/pdf/ocae050.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018577105","display_name":"Shikha Tripathi","orcid":"https://orcid.org/0000-0003-0117-518X"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shikha Tripathi","raw_affiliation_strings":["D. Bradley McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston , Houston, TX 77030, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D. Bradley McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston , Houston, TX 77030, United States","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073882075","display_name":"Alejandro Acien","orcid":"https://orcid.org/0000-0002-2689-1257"},"institutions":[{"id":"https://openalex.org/I4210114855","display_name":"QMedic","ror":"https://ror.org/025pqzv51","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114855"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alejandro Acien","raw_affiliation_strings":["nQ Medical , MA 02142, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"nQ Medical , MA 02142, United States","institution_ids":["https://openalex.org/I4210114855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061950375","display_name":"Ashley A Holmes","orcid":"https://orcid.org/0000-0002-9029-9418"},"institutions":[{"id":"https://openalex.org/I4210114855","display_name":"QMedic","ror":"https://ror.org/025pqzv51","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114855"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashley A Holmes","raw_affiliation_strings":["nQ Medical , MA 02142, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"nQ Medical , MA 02142, United States","institution_ids":["https://openalex.org/I4210114855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027450676","display_name":"Teresa Arroyo\u2010Gallego","orcid":"https://orcid.org/0000-0003-2874-0230"},"institutions":[{"id":"https://openalex.org/I4210114855","display_name":"QMedic","ror":"https://ror.org/025pqzv51","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210114855"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teresa Arroyo-Gallego","raw_affiliation_strings":["nQ Medical , MA 02142, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"nQ Medical , MA 02142, United States","institution_ids":["https://openalex.org/I4210114855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026804774","display_name":"Luca Giancardo","orcid":"https://orcid.org/0000-0002-4862-2277"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luca Giancardo","raw_affiliation_strings":["D. Bradley McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston , Houston, TX 77030, United States"],"raw_orcid":"https://orcid.org/0000-0002-4862-2277","affiliations":[{"raw_affiliation_string":"D. Bradley McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston , Houston, TX 77030, United States","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026804774"],"corresponding_institution_ids":["https://openalex.org/I919571938"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":2.1159,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88866981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"31","issue":"6","first_page":"1239","last_page":"1246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.20440000295639038,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.20440000295639038,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.09359999746084213,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.07360000163316727,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/keystroke-dynamics","display_name":"Keystroke dynamics","score":0.9307796359062195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474974155426025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324934720993042},{"id":"https://openalex.org/keywords/keystroke-logging","display_name":"Keystroke logging","score":0.529364824295044},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.45078009366989136},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.4506610929965973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4111676812171936},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.39605608582496643},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.371682345867157},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3491317331790924},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23933115601539612},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20536449551582336},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1472325623035431},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07974469661712646}],"concepts":[{"id":"https://openalex.org/C79540074","wikidata":"https://www.wikidata.org/wiki/Q3269465","display_name":"Keystroke dynamics","level":4,"score":0.9307796359062195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474974155426025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324934720993042},{"id":"https://openalex.org/C161615301","wikidata":"https://www.wikidata.org/wiki/Q309396","display_name":"Keystroke logging","level":2,"score":0.529364824295044},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.45078009366989136},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.4506610929965973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4111676812171936},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.39605608582496643},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.371682345867157},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3491317331790924},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23933115601539612},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20536449551582336},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1472325623035431},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07974469661712646},{"id":"https://openalex.org/C4957475","wikidata":"https://www.wikidata.org/wiki/Q242186","display_name":"S/KEY","level":3,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010300","descriptor_name":"Parkinson Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1093/jamia/ocae050","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocae050","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:38497957","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38497957","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":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11105137","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11105137","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11105137/pdf/ocae050.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},{"id":"pmh:oai:digitalcommons.library.tmc.edu:uthshis_docs-1430","is_oa":false,"landing_page_url":"https://digitalcommons.library.tmc.edu/uthshis_docs/429","pdf_url":null,"source":{"id":"https://openalex.org/S4377196655","display_name":"Digital Commons-TMC (Texas Medical Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1337852284","host_organization_name":"Texas Medical Center","host_organization_lineage":["https://openalex.org/I1337852284"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty, Staff and Student Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11105137","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11105137","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11105137/pdf/ocae050.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4183416194","display_name":null,"funder_award_id":"R01NS121154","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4333974987","display_name":null,"funder_award_id":"U01AG070112","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4337381829","display_name":null,"funder_award_id":"R21EB029575","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320309680","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392928483.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2092015242","https://openalex.org/W2112455323","https://openalex.org/W2296350496","https://openalex.org/W2343698281","https://openalex.org/W2589994265","https://openalex.org/W2771043801","https://openalex.org/W2789914560","https://openalex.org/W2953389871","https://openalex.org/W2979613138","https://openalex.org/W3045732690","https://openalex.org/W3103552852","https://openalex.org/W3111834362","https://openalex.org/W3154237080","https://openalex.org/W4280499268","https://openalex.org/W4283715379","https://openalex.org/W4288443336","https://openalex.org/W4315629020","https://openalex.org/W6769063336"],"related_works":["https://openalex.org/W2155670618","https://openalex.org/W2052279280","https://openalex.org/W4211208539","https://openalex.org/W2159333170","https://openalex.org/W2031617473","https://openalex.org/W1573560902","https://openalex.org/W4224061638","https://openalex.org/W4244802227","https://openalex.org/W2906096565","https://openalex.org/W2888741745"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Passive":[1],"monitoring":[2],"of":[3,61,84,191,200,206,217,243],"touchscreen":[4,244],"interactions":[5],"generates":[6],"keystroke":[7],"dynamic":[8],"signals":[9],"that":[10],"can":[11],"be":[12],"used":[13],"to":[14,93,167,238],"detect":[15],"and":[16,25,72,109,152,183,196],"track":[17],"neurological":[18],"conditions":[19],"such":[20],"as":[21],"Parkinson's":[22],"disease":[23],"(PD)":[24],"psychomotor":[26],"impairment":[27],"with":[28,39,98,140,150,154],"minimal":[29],"burden":[30],"on":[31,70,131,156,180],"the":[32,59,68,106,147,197,204,215,223,226,236,240],"user.":[33],"However,":[34],"this":[35,129],"typically":[36],"requires":[37],"datasets":[38,202],"clinically":[40,141],"confirmed":[41],"labels":[42,71],"collected":[43],"in":[44,66],"standardized":[45,192],"environments,":[46],"which":[47,91,113],"is":[48,125],"challenging,":[49],"especially":[50],"for":[51,102,117,228,247],"a":[52,62,81,110,171,175,184],"large":[53],"subject":[54],"pool.":[55],"This":[56,233],"study":[57],"validates":[58],"efficacy":[60],"self-supervised":[63,85,212],"learning":[64,177,218],"method":[65],"reducing":[67],"reliance":[69],"evaluates":[73],"its":[74],"generalizability.":[75],"MATERIALS":[76],"AND":[77],"METHODS:":[78],"We":[79],"propose":[80],"new":[82],"type":[83],"loss":[86,130],"combining":[87],"Barlow":[88],"Twins":[89],"loss,":[90,112],"attempts":[92],"create":[94],"similar":[95],"feature":[96,100,172],"representations":[97],"reduced":[99],"redundancy":[101],"samples":[103,118],"coming":[104],"from":[105,134,222],"same":[107],"subject,":[108],"Dissimilarity":[111],"promotes":[114],"uncorrelated":[115],"features":[116],"generated":[119],"by":[120],"different":[121],"subjects.":[122],"An":[123],"encoder":[124],"first":[126],"pre-trained":[127,179],"using":[128],"unlabeled":[132],"data":[133,193],"an":[135],"uncontrolled":[136],"setting,":[137],"then":[138],"fine-tuned":[139],"validated":[142],"data.":[143],"Our":[144,161],"experiments":[145],"test":[146],"model":[148,178],"generalizability":[149,205],"controls":[151],"subjects":[153],"PD":[155],"2":[157],"independent":[158],"datasets.":[159],"RESULTS:":[160],"approach":[162,234],"showed":[163],"better":[164],"generalization":[165],"compared":[166],"previous":[168],"methods,":[169],"including":[170],"engineering":[173],"strategy,":[174],"deep":[176],"Parkinsonian":[181],"signs,":[182],"traditional":[185],"supervised":[186,207],"model.":[187],"DISCUSSION:":[188],"The":[189],"absence":[190],"acquisition":[194],"protocols":[195],"limited":[198],"availability":[199],"annotated":[201],"compromise":[203],"models.":[208],"In":[209],"these":[210],"contexts,":[211],"models":[213],"offer":[214],"advantage":[216],"more":[219],"robust":[220],"patterns":[221],"data,":[224],"bypassing":[225],"need":[227],"ground":[229],"truth":[230],"labels.":[231],"CONCLUSION:":[232],"has":[235],"potential":[237],"accelerate":[239],"clinical":[241],"validation":[242],"typing":[245],"software":[246],"neurodegenerative":[248],"diseases.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2025-10-10T00:00:00"}