{"id":"https://openalex.org/W4404916134","doi":"https://doi.org/10.1109/tim.2024.3509578","title":"MFF-IBL: A Lightweight Cascade Network Based on Multibranch Feature Fusion and Incremental Broad Learning for Lead-Independent ECG Classification","display_name":"MFF-IBL: A Lightweight Cascade Network Based on Multibranch Feature Fusion and Incremental Broad Learning for Lead-Independent ECG Classification","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404916134","doi":"https://doi.org/10.1109/tim.2024.3509578"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3509578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3509578","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5043094331","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-4286-5953"},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102628689","display_name":"Li Huang","orcid":"https://orcid.org/0000-0002-6433-7230"},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Huang","raw_affiliation_strings":["School of Electronics and Information Engineering, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017146820","display_name":"Yikui Zhai","orcid":"https://orcid.org/0000-0003-0154-9743"},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikui Zhai","raw_affiliation_strings":["School of Electronics and Information Engineering, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112985630","display_name":"Shikang Ling","orcid":"https://orcid.org/0000-0003-3022-8746"},"institutions":[{"id":"https://openalex.org/I98834328","display_name":"Wuyi University","ror":"https://ror.org/059djzq42","country_code":"CN","type":"education","lineage":["https://openalex.org/I98834328"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shikang Ling","raw_affiliation_strings":["School of Electronics and Information Engineering, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I98834328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050791415","display_name":"Hao Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Hao Ouyang","raw_affiliation_strings":["Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102590322","display_name":"Lin Li","orcid":"https://orcid.org/0009-0003-1367-4071"},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Rehabilitation Department, Shengjing Hospital of China Medical University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Rehabilitation Department, Shengjing Hospital of China Medical University, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043094331"],"corresponding_institution_ids":["https://openalex.org/I98834328"],"apc_list":null,"apc_paid":null,"fwci":1.7056,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86858978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9865999817848206,"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":0.9865999817848206,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9093000292778015,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.817151665687561},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5994603633880615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5932786464691162},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5875851511955261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5771228075027466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5636022090911865},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.5372047424316406},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45111727714538574},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22710523009300232},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06146782636642456}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.817151665687561},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5994603633880615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5932786464691162},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5875851511955261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5771228075027466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5636022090911865},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.5372047424316406},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45111727714538574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22710523009300232},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06146782636642456},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3509578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3509578","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2904010462","display_name":null,"funder_award_id":"2023JC01005","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"},{"id":"https://openalex.org/G7792032119","display_name":null,"funder_award_id":"2023111500000438","funder_id":"https://openalex.org/F4320326427","funder_display_name":"Innovation and Technology Fund"}],"funders":[{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2000364692","https://openalex.org/W2017345696","https://openalex.org/W2064675550","https://openalex.org/W2095409369","https://openalex.org/W2127854713","https://openalex.org/W2133876672","https://openalex.org/W2146948310","https://openalex.org/W2160547390","https://openalex.org/W2166886638","https://openalex.org/W2295528320","https://openalex.org/W2551393996","https://openalex.org/W2738226240","https://openalex.org/W2754051771","https://openalex.org/W2765690220","https://openalex.org/W2795340004","https://openalex.org/W2885127939","https://openalex.org/W2888456553","https://openalex.org/W2895252159","https://openalex.org/W2898996319","https://openalex.org/W2899278391","https://openalex.org/W2902644322","https://openalex.org/W2914158153","https://openalex.org/W2919115771","https://openalex.org/W2953193031","https://openalex.org/W2963855133","https://openalex.org/W2965307660","https://openalex.org/W2972178360","https://openalex.org/W2972810968","https://openalex.org/W2982083293","https://openalex.org/W2996959172","https://openalex.org/W3005487465","https://openalex.org/W3134859729","https://openalex.org/W3142998727","https://openalex.org/W3155180002","https://openalex.org/W3157214807","https://openalex.org/W3171007011","https://openalex.org/W3173401946","https://openalex.org/W3190152617","https://openalex.org/W3199766309","https://openalex.org/W4308419372","https://openalex.org/W4317496162","https://openalex.org/W4360770820","https://openalex.org/W4383899330","https://openalex.org/W4385245566","https://openalex.org/W4385482387","https://openalex.org/W4386799746","https://openalex.org/W4389216350"],"related_works":["https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340","https://openalex.org/W2117825986","https://openalex.org/W3134067061","https://openalex.org/W2079855347"],"abstract_inverted_index":{"The":[0,21,146,180],"timely":[1],"detection":[2],"and":[3,65,82,115,128,141,157,172],"treatment":[4],"of":[5,24,35,71,85,131,137,175],"arrhythmia,":[6],"a":[7,36,108,142,152],"cardiovascular":[8],"disease":[9],"(CVD)":[10],"characterized":[11],"by":[12,214],"abnormal":[13],"heart":[14],"rhythm,":[15],"can":[16],"effectively":[17],"prevent":[18],"its":[19],"occurrence.":[20],"conventional":[22],"means":[23],"detecting":[25],"arrhythmia":[26],"in":[27,44],"clinical":[28,98],"practice":[29],"are":[30,53],"mainly":[31],"with":[32,123],"the":[33,72,79,83,96,103,185,196,202],"help":[34],"12-lead":[37,86,116,197],"electrocardiogram":[38],"(ECG).":[39],"Although":[40],"deep":[41],"learning":[42,144,211],"technology":[43],"ECG":[45,77,87,117,178],"automatic":[46],"classification":[47,118,200,226],"has":[48],"demonstrated":[49],"significant":[50],"efficacy,":[51],"there":[52],"still":[54],"some":[55],"problems":[56],"such":[57,168],"as":[58,78,169,183],"complex":[59],"network":[60,111,150,155,204],"structure,":[61],"high":[62],"computational":[63,132],"cost,":[64],"poor":[66],"interpretability.":[67],"In":[68,199],"addition,":[69],"most":[70],"existing":[73],"models":[74],"take":[75],"single-lead":[76,114],"research":[80],"object,":[81],"analysis":[84],"signals":[88],"is":[89,92,135],"insufficient,":[90],"which":[91],"also":[93],"contrary":[94],"to":[95,164,191,229],"actual":[97],"diagnostic":[99],"methods.":[100],"Aimed":[101],"at":[102],"above":[104],"problems,":[105],"we":[106],"propose":[107],"lightweight":[109,203],"cascade":[110],"(MFF-IBL)":[112],"for":[113],"under":[119],"different":[120],"acquisition":[121],"paradigms,":[122],"only":[124],"0.36":[125],"M":[126],"parameters":[127],"202":[129],"MFLOPs":[130],"resources.":[133],"MFF-IBL":[134,223],"composed":[136],"multi-branch":[138],"feature":[139,148],"fusion":[140,149],"broad":[143,210],"network.":[145],"multibranch":[147],"uses":[151],"convolutional":[153],"neural":[154],"(CNN)":[156],"bidirectional":[158],"gated":[159],"recurrent":[160],"unit":[161],"(BiGRU)":[162],"module":[163],"obtain":[165,192],"diverse":[166],"information":[167,194],"morphological":[170],"features":[171,174,187],"temporal":[173],"each":[176,189],"lead":[177,190],"signal.":[179],"classifier":[181],"takes":[182],"input":[184],"fused":[186],"from":[188,195,208],"comprehensive":[193],"ECG.":[198],"tasks,":[201],"model":[205],"benefits":[206],"significantly":[207],"incremental":[209],"(IBL)":[212],"enhanced":[213],"chicken":[215],"swarm":[216],"optimization":[217],"(CSO).":[218],"Experimental":[219],"results":[220],"demonstrate":[221],"that":[222],"achieves":[224],"superior":[225],"performance":[227],"compared":[228],"state-of-the-art":[230],"networks":[231],"across":[232],"three":[233],"widely":[234],"used":[235],"public":[236],"databases.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
