{"id":"https://openalex.org/W4225263878","doi":"https://doi.org/10.1109/icassp43922.2022.9746066","title":"Joint Dual-Domain Matrix Factorization for ECG Biometric Recognition","display_name":"Joint Dual-Domain Matrix Factorization for ECG Biometric Recognition","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225263878","doi":"https://doi.org/10.1109/icassp43922.2022.9746066"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746066","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101413569","display_name":"Kuikui Wang","orcid":"https://orcid.org/0000-0002-0790-0736"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kuikui Wang","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China,250101"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China,250101","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036183903","display_name":"Gongping Yang","orcid":"https://orcid.org/0000-0001-7637-2749"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210136682","display_name":"Heze University","ror":"https://ror.org/041zje040","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongping Yang","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China,250101","School of Computer, Heze University, Heze, China"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China,250101","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Computer, Heze University, Heze, China","institution_ids":["https://openalex.org/I4210136682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103257748","display_name":"Yuwen Huang","orcid":"https://orcid.org/0000-0003-0452-4947"},"institutions":[{"id":"https://openalex.org/I4210136682","display_name":"Heze University","ror":"https://ror.org/041zje040","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwen Huang","raw_affiliation_strings":["Heze University,School of Computer,Heze,China,274015"],"affiliations":[{"raw_affiliation_string":"Heze University,School of Computer,Heze,China,274015","institution_ids":["https://openalex.org/I4210136682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645120","display_name":"Lu Yang","orcid":"https://orcid.org/0000-0002-5186-6504"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Yang","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China,250101"],"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China,250101","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100672586","display_name":"Yilong Yin","orcid":"https://orcid.org/0009-0002-2596-0940"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Yin","raw_affiliation_strings":["Shandong University,School of Software,Jinan,China,250101"],"affiliations":[{"raw_affiliation_string":"Shandong University,School of Software,Jinan,China,250101","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101413569"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.8917,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63682432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3134","last_page":"3138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8575274348258972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7561358213424683},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.634412407875061},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6287193298339844},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6251898407936096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5925498604774475},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5822180509567261},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5677282810211182},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5527217388153076},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5360420346260071},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5091671347618103},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.49386507272720337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39913421869277954},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12066805362701416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11685952544212341},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07844364643096924}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8575274348258972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561358213424683},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.634412407875061},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6287193298339844},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6251898407936096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5925498604774475},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5822180509567261},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5677282810211182},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5527217388153076},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5360420346260071},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5091671347618103},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.49386507272720337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39913421869277954},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12066805362701416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11685952544212341},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07844364643096924},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746066","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2095409369","https://openalex.org/W2131558025","https://openalex.org/W2162273778","https://openalex.org/W2162800060","https://openalex.org/W2164053975","https://openalex.org/W2268339064","https://openalex.org/W2293524822","https://openalex.org/W2547102660","https://openalex.org/W2559728278","https://openalex.org/W2736978235","https://openalex.org/W2792543528","https://openalex.org/W2794557162","https://openalex.org/W2796933088","https://openalex.org/W2911804594","https://openalex.org/W2914443431","https://openalex.org/W2941208518","https://openalex.org/W2964281427","https://openalex.org/W2980343828","https://openalex.org/W2995705713","https://openalex.org/W3002557587","https://openalex.org/W3083553035"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Electrocardiogram":[0],"(ECG)":[1],"biometrics":[2,51],"has":[3],"aroused":[4],"extensive":[5],"attention":[6],"in":[7],"the":[8,37,68,78,92,99,112],"research":[9],"field":[10],"of":[11,40,91,101],"biometric":[12],"recognition.":[13],"How-ever,":[14],"most":[15],"existing":[16],"methods":[17],"either":[18],"only":[19],"consider":[20],"a":[21,48],"single":[22],"do-main":[23,65],"(time":[24],"domain":[25],"or":[26,32],"frequency":[27],"domain)":[28],"to":[29],"extract":[30,33],"features":[31],"multi-features":[34],"while":[35],"ignoring":[36],"specific":[38],"proper-ties":[39],"each":[41,64],"domain.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"novel":[49],"ECG":[50],"framework":[52,114],"termed":[53],"Joint":[54],"Dual-domain":[55],"Matrix":[56],"Factorization":[57],"(JDMF).":[58],"JDMF":[59,86],"learns":[60],"latent":[61,79],"spaces":[62,80],"for":[63],"by":[66],"exploring":[67],"cross-correlations":[69],"between":[70],"them":[71],"and":[72,95],"preserving":[73],"domain-specific":[74],"properties.":[75],"To":[76],"endow":[77],"with":[81],"more":[82],"powerful":[83],"representation":[84],"capabilities,":[85],"further":[87],"makes":[88],"full":[89],"use":[90],"supervised":[93],"information":[94],"could":[96],"automatically":[97],"learn":[98],"weights":[100],"domains.":[102],"The":[103],"experimental":[104],"results":[105],"on":[106],"two":[107],"widely-used":[108],"datasets":[109],"indicate":[110],"that":[111],"proposed":[113],"can":[115],"outperform":[116],"state-of-the-arts.":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
