{"id":"https://openalex.org/W7163151355","doi":"https://doi.org/10.1109/memea69746.2026.11537369","title":"A Speech Measurement Component for a Serious Games\u2013Based Patient Digital Twin","display_name":"A Speech Measurement Component for a Serious Games\u2013Based Patient Digital Twin","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7163151355","doi":"https://doi.org/10.1109/memea69746.2026.11537369"},"language":null,"primary_location":{"id":"doi:10.1109/memea69746.2026.11537369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea69746.2026.11537369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","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/A5043102638","display_name":"Andr\u00e9 Antunes","orcid":"https://orcid.org/0000-0001-9030-5956"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Andr\u00e9 Antunes","raw_affiliation_strings":["NOVA University of Lisbon,NOVA LINCS NOVASchool of Science and Technology NOVA,Caparica,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NOVA University of Lisbon,NOVA LINCS NOVASchool of Science and Technology NOVA,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137675497","display_name":"Rui Neves Madeira","orcid":null},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Neves Madeira","raw_affiliation_strings":["NOVA University of Lisbon,NOVA LINCS NOVASchool of Science and Technology NOVA,Caparica,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NOVA University of Lisbon,NOVA LINCS NOVASchool of Science and Technology NOVA,Caparica,Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137117696","display_name":"Octavian Postolache","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Octavian Postolache","raw_affiliation_strings":["Instituto de Telecomunica&#x00E7;&#x00F5;es IT-IUL ISCTE-Instituto Universit&#x00E1;rio de Lisboa,Lisboa,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica&#x00E7;&#x00F5;es IT-IUL ISCTE-Instituto Universit&#x00E1;rio de Lisboa,Lisboa,Portugal","institution_ids":["https://openalex.org/I4210120471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043102638"],"corresponding_institution_ids":["https://openalex.org/I83558840"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.9363972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.17919999361038208,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.17919999361038208,"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"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.07020000368356705,"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/T10731","display_name":"Educational Games and Gamification","score":0.05820000171661377,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/component","display_name":"Component (thermodynamics)","score":0.7062000036239624},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.2727000117301941},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.24369999766349792},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.2433999925851822}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7062000036239624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623999834060669},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45080000162124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42969998717308044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30410000681877136},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24369999766349792},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.2433999925851822},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2410999983549118},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.23190000653266907}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea69746.2026.11537369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea69746.2026.11537369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328988","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2509830706","https://openalex.org/W2518003110","https://openalex.org/W2526050071","https://openalex.org/W2737220346","https://openalex.org/W2765490700","https://openalex.org/W2885806496","https://openalex.org/W2931364255","https://openalex.org/W2967569340","https://openalex.org/W2991356914","https://openalex.org/W3038342317","https://openalex.org/W3108822321","https://openalex.org/W3177707928","https://openalex.org/W3197814342","https://openalex.org/W3215011116","https://openalex.org/W4210523714","https://openalex.org/W4284679137","https://openalex.org/W4287854318","https://openalex.org/W4293041220","https://openalex.org/W4399310546","https://openalex.org/W4403677844","https://openalex.org/W4413155405"],"related_works":[],"abstract_inverted_index":{"Speech":[0],"and":[1,9,40,70,75,90],"audio":[2,37],"signals":[3],"provide":[4],"non-invasive":[5],"access":[6],"to":[7,13],"cognitive":[8],"motor":[10],"aspects":[11],"relevant":[12],"therapeutic":[14],"assessment.":[15],"This":[16],"paper":[17],"presents":[18],"a":[19,25,45,52,55,64,109],"speech-based":[20],"measurement":[21,111],"component":[22,35],"integrated":[23,62],"into":[24,63],"serious":[26],"games-based":[27],"patient":[28],"digital":[29],"twin":[30],"(DT)":[31],"for":[32],"therapy.":[33],"The":[34],"supports":[36],"acquisition,":[38],"preprocessing,":[39],"word-level":[41],"speech":[42,59,67,78,107],"classification":[43,94],"via":[44],"remotely":[46],"deployed":[47],"machine":[48],"learning":[49],"service.":[50],"As":[51],"use":[53],"case,":[54],"convolutional":[56],"neural":[57],"network-based":[58],"classifier":[60],"is":[61],"production":[65],"serious-game":[66],"therapy":[68],"application":[69],"evaluated":[71],"across":[72],"pediatric,":[73],"adult,":[74],"large-scale":[76],"public":[77],"datasets.":[79],"Experimental":[80],"results":[81],"highlight":[82],"the":[83,103],"impact":[84],"of":[85,105],"data":[86],"quality,":[87],"dataset":[88],"scale,":[89],"population":[91],"characteristics":[92],"on":[93],"performance":[95],"under":[96],"realistic":[97],"acquisition":[98],"conditions.":[99],"Our":[100],"solution":[101],"demonstrates":[102],"feasibility":[104],"operationalizing":[106],"as":[108],"realtime":[110],"modality":[112],"within":[113],"an":[114],"interactive":[115],"DT":[116],"platform.":[117]},"counts_by_year":[],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2026-06-03T00:00:00"}
