{"id":"https://openalex.org/W4408941330","doi":"https://doi.org/10.1109/access.2025.3555521","title":"Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms","display_name":"Predicting and Understanding Disorders of Consciousness of Sleep Patients Through Multimodal Data Fusion and Temporal Attention Mechanisms","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408941330","doi":"https://doi.org/10.1109/access.2025.3555521"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3555521","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3555521","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3555521","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006125074","display_name":"Haixia Pan","orcid":"https://orcid.org/0000-0001-5243-348X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Pan","raw_affiliation_strings":["School of Software, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5243-348X","affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075865547","display_name":"Haotian Geng","orcid":"https://orcid.org/0000-0003-4701-1746"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Geng","raw_affiliation_strings":["School of Software, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4701-1746","affiliations":[{"raw_affiliation_string":"School of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046522986","display_name":"Pingshu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109698","display_name":"Kailuan General Hospital","ror":"https://ror.org/01kwdp645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210109698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingshu Zhang","raw_affiliation_strings":["Neurology Department, Kailuan General Hospital, Tangshan, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neurology Department, Kailuan General Hospital, Tangshan, Hebei, China","institution_ids":["https://openalex.org/I4210109698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010265982","display_name":"Xiaodong Yuan","orcid":"https://orcid.org/0000-0002-2612-2781"},"institutions":[{"id":"https://openalex.org/I4210109698","display_name":"Kailuan General Hospital","ror":"https://ror.org/01kwdp645","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210109698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Yuan","raw_affiliation_strings":["Neurology Department, Kailuan General Hospital, Tangshan, Hebei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neurology Department, Kailuan General Hospital, Tangshan, Hebei, China","institution_ids":["https://openalex.org/I4210109698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.5223,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87534626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"56717","last_page":"56735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.6746000051498413,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.6746000051498413,"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/T12496","display_name":"Color perception and design","score":0.6295999884605408,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T13638","display_name":"Human auditory perception and evaluation","score":0.618399977684021,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142898201942444},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6068272590637207},{"id":"https://openalex.org/keywords/persistent-vegetative-state","display_name":"Persistent vegetative state","score":0.49084168672561646},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.4803841710090637},{"id":"https://openalex.org/keywords/consciousness","display_name":"Consciousness","score":0.4385487139225006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3670429587364197},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34197771549224854},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33545970916748047},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23395460844039917},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18791133165359497},{"id":"https://openalex.org/keywords/minimally-conscious-state","display_name":"Minimally conscious state","score":0.1699603796005249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142898201942444},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6068272590637207},{"id":"https://openalex.org/C2777938509","wikidata":"https://www.wikidata.org/wiki/Q139720","display_name":"Persistent vegetative state","level":4,"score":0.49084168672561646},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.4803841710090637},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.4385487139225006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3670429587364197},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34197771549224854},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33545970916748047},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23395460844039917},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18791133165359497},{"id":"https://openalex.org/C2778170955","wikidata":"https://www.wikidata.org/wiki/Q1093388","display_name":"Minimally conscious state","level":3,"score":0.1699603796005249},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3555521","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3555521","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cd1710aee74d404f94995915d6296793","is_oa":true,"landing_page_url":"https://doaj.org/article/cd1710aee74d404f94995915d6296793","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 56717-56735 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3555521","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3555521","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1147058495","display_name":null,"funder_award_id":"62476019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1970545979","https://openalex.org/W1986105936","https://openalex.org/W1988752724","https://openalex.org/W1998795199","https://openalex.org/W2007735192","https://openalex.org/W2007981717","https://openalex.org/W2009787980","https://openalex.org/W2048893204","https://openalex.org/W2070934823","https://openalex.org/W2090824451","https://openalex.org/W2099407948","https://openalex.org/W2102445682","https://openalex.org/W2113357974","https://openalex.org/W2118646988","https://openalex.org/W2127501699","https://openalex.org/W2147914276","https://openalex.org/W2149059986","https://openalex.org/W2150682709","https://openalex.org/W2152325645","https://openalex.org/W2194076386","https://openalex.org/W2515503816","https://openalex.org/W2551393996","https://openalex.org/W2553915786","https://openalex.org/W2598525681","https://openalex.org/W2754051771","https://openalex.org/W2782407824","https://openalex.org/W2788817014","https://openalex.org/W2886848602","https://openalex.org/W2892035503","https://openalex.org/W2897371647","https://openalex.org/W2963532813","https://openalex.org/W2966478894","https://openalex.org/W2972810968","https://openalex.org/W3007075806","https://openalex.org/W3017116930","https://openalex.org/W3048741722","https://openalex.org/W3084275812","https://openalex.org/W3090086713","https://openalex.org/W3094595351","https://openalex.org/W3110135365","https://openalex.org/W3113180287","https://openalex.org/W3171884590","https://openalex.org/W3196110284","https://openalex.org/W4290877088","https://openalex.org/W4319335604","https://openalex.org/W4320719831","https://openalex.org/W4385245566","https://openalex.org/W6635379501","https://openalex.org/W6683258052","https://openalex.org/W6693361166","https://openalex.org/W6698169118","https://openalex.org/W6752046673","https://openalex.org/W6794532694"],"related_works":["https://openalex.org/W177759832","https://openalex.org/W2293150817","https://openalex.org/W2348309954","https://openalex.org/W1886446354","https://openalex.org/W2325741026","https://openalex.org/W1955650079","https://openalex.org/W1570100039","https://openalex.org/W1606687954","https://openalex.org/W2590591208","https://openalex.org/W4380271832"],"abstract_inverted_index":{"This":[0,189],"study":[1],"introduces":[2],"MTAMA-DoC":[3,45,161],"(Multimodal":[4],"Temporal":[5],"Attention":[6],"Multitask":[7],"Analyzer":[8],"for":[9,194,207,217],"Disorders":[10,30],"of":[11,31,62,123,130,140,155,174,211],"Consciousness),":[12],"a":[13,35,67,179],"novel":[14],"deep":[15],"learning":[16],"approach":[17,183],"that":[18,184],"leverages":[19],"sleep-related":[20,156],"physiological":[21,124],"data":[22,49,157],"to":[23,170],"predict":[24],"consciousness":[25,80,134,159],"states":[26],"in":[27,79,99,133,158,197],"patients":[28,208],"with":[29,38,55,209],"Consciousness":[32],"(DoC).":[33],"Employing":[34],"transformer-based":[36],"architecture":[37,149],"task-aware":[39],"guided":[40],"masking":[41],"and":[42,52,95,112,126,142,199,205,227],"joint-optimization":[43],"training,":[44],"integrates":[46],"time":[47],"series":[48],"(heart":[50],"rate":[51],"breath":[53],"rate)":[54],"structured":[56],"clinical":[57,131,187],"information,":[58],"addressing":[59],"the":[60,120,127,137,153,171,175,215,221],"limitations":[61],"traditional":[63,186],"assessment":[64],"methods.":[65,188],"In":[66],"comparative":[68],"analysis":[69],"involving":[70],"170":[71],"patients,":[72],"our":[73],"model":[74],"significantly":[75],"outperformed":[76],"existing":[77],"methods":[78],"state":[81],"classification":[82,84,90],"(binary":[83],"accuracy:":[85,91],"0.87,":[86],"F1-score:":[87,93],"0.82;":[88],"ternary":[89],"0.72,":[92],"0.64)":[94],"demonstrated":[96],"competitive":[97],"performance":[98],"Glasgow":[100],"Coma":[101],"Scale":[102],"score":[103],"prediction.":[104],"The":[105],"model\u2019s":[106],"interpretability,":[107],"achieved":[108],"through":[109],"attention":[110],"mechanisms":[111],"feature":[113],"importance":[114,129],"analysis,":[115],"provides":[116],"valuable":[117],"insights":[118],"into":[119,220],"temporal":[121],"dynamics":[122],"signals":[125],"relative":[128],"factors":[132],"assessment,":[135],"highlighting":[136],"critical":[138],"role":[139],"cardiovascular":[141],"respiratory":[143],"metrics,":[144],"as":[145,147],"well":[146],"sleep":[148,200],"features.":[150],"By":[151],"demonstrating":[152],"efficacy":[154],"evaluation,":[160],"not":[162],"only":[163],"enhances":[164],"diagnostic":[165],"capabilities":[166],"but":[167],"also":[168],"contributes":[169],"theoretical":[172],"understanding":[173],"sleep-consciousness":[176],"relationship,":[177],"offering":[178],"non-invasive,":[180],"continuous":[181],"monitoring":[182],"complements":[185],"advancement":[190],"opens":[191],"new":[192],"avenues":[193],"AI-driven":[195],"approaches":[196],"neurology":[198],"medicine,":[201],"potentially":[202],"improving":[203],"diagnosis":[204],"care":[206],"disorders":[210],"consciousness,":[212,226],"while":[213],"paving":[214],"way":[216],"future":[218],"investigations":[219],"complex":[222],"interplay":[223],"between":[224],"sleep,":[225],"brain":[228],"function.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}