{"id":"https://openalex.org/W4323338313","doi":"https://doi.org/10.1109/thms.2023.3244938","title":"BGcsSENet: Bidirectional GRU With Spatial and Channel Squeeze-Excitation Network for Bundle Branch Block Detection","display_name":"BGcsSENet: Bidirectional GRU With Spatial and Channel Squeeze-Excitation Network for Bundle Branch Block Detection","publication_year":2023,"publication_date":"2023-03-06","ids":{"openalex":"https://openalex.org/W4323338313","doi":"https://doi.org/10.1109/thms.2023.3244938"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2023.3244938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3244938","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","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/A5025488326","display_name":"Jibin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]},{"id":"https://openalex.org/I4210109416","display_name":"Anhui Science and Technology University","ror":"https://ror.org/01pn91c28","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210109416"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jibin Wang","raw_affiliation_strings":["Department of Network Engineering, Anhui Science and Technology University, Fengyang, China","School of Mathematics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-3468-4108","affiliations":[{"raw_affiliation_string":"Department of Network Engineering, Anhui Science and Technology University, Fengyang, China","institution_ids":["https://openalex.org/I4210109416","https://openalex.org/I184681353"]},{"raw_affiliation_string":"School of Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025488326"],"corresponding_institution_ids":["https://openalex.org/I162868743","https://openalex.org/I184681353","https://openalex.org/I4210109416"],"apc_list":null,"apc_paid":null,"fwci":2.5624,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90707867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"53","issue":"2","first_page":"449","last_page":"457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9980000257492065,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5821903944015503},{"id":"https://openalex.org/keywords/left-bundle-branch-block","display_name":"Left bundle branch block","score":0.5744518637657166},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.5230630040168762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43959370255470276},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43287867307662964},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.4303126335144043},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.40778058767318726},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.40155741572380066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33587950468063354},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18156954646110535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13732114434242249},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10622227191925049},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07901713252067566},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.07849708199501038},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07509192824363708}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5821903944015503},{"id":"https://openalex.org/C2777473070","wikidata":"https://www.wikidata.org/wiki/Q2143688","display_name":"Left bundle branch block","level":3,"score":0.5744518637657166},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.5230630040168762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43959370255470276},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43287867307662964},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.4303126335144043},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.40778058767318726},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.40155741572380066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33587950468063354},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18156954646110535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13732114434242249},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10622227191925049},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07901713252067566},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.07849708199501038},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07509192824363708},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2023.3244938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3244938","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"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 Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W632910230","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W2095409369","https://openalex.org/W2098930218","https://openalex.org/W2131774270","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2333414777","https://openalex.org/W2513122565","https://openalex.org/W2547384925","https://openalex.org/W2554292798","https://openalex.org/W2556806401","https://openalex.org/W2612184698","https://openalex.org/W2621205740","https://openalex.org/W2768956845","https://openalex.org/W2795302640","https://openalex.org/W2806806521","https://openalex.org/W2886357685","https://openalex.org/W2888456553","https://openalex.org/W2889838428","https://openalex.org/W2913203924","https://openalex.org/W2917653762","https://openalex.org/W2919115771","https://openalex.org/W2950635152","https://openalex.org/W2953193031","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963794428","https://openalex.org/W2967246721","https://openalex.org/W2971689447","https://openalex.org/W2977955221","https://openalex.org/W2979417040","https://openalex.org/W3008093244","https://openalex.org/W3018074695","https://openalex.org/W3039775522","https://openalex.org/W3046111590","https://openalex.org/W3088632941","https://openalex.org/W3135544308","https://openalex.org/W3152614926","https://openalex.org/W3164143551","https://openalex.org/W3170890306","https://openalex.org/W3198853881","https://openalex.org/W3202170452","https://openalex.org/W3207556990","https://openalex.org/W4200192756","https://openalex.org/W4205620265","https://openalex.org/W4211151538","https://openalex.org/W4225678502","https://openalex.org/W4246193833","https://openalex.org/W4285152737","https://openalex.org/W6695477072","https://openalex.org/W6712909570"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4296285654","https://openalex.org/W2383869160","https://openalex.org/W3052481912","https://openalex.org/W2355215981","https://openalex.org/W4312992234","https://openalex.org/W2948262272","https://openalex.org/W2603501458","https://openalex.org/W4300659434","https://openalex.org/W2989196868"],"abstract_inverted_index":{"Left":[0],"bundle":[1,7],"branch":[2,8],"block":[3,9],"(LBBB)":[4],"and":[5,22,28,65,73,94,100,122,149],"right":[6],"(RBBB)":[10],"are":[11,26],"the":[12,19,36,53,78,119,129,136,158,163],"common":[13],"but":[14],"neglected":[15],"arrhythmias":[16],"clinically.":[17],"However,":[18],"conventional":[20],"LBBB":[21],"RBBB":[23],"diagnosis":[24],"methods":[25],"strenuous":[27],"time-consuming":[29],"because":[30],"this":[31,43],"process":[32],"relies":[33],"heavily":[34],"on":[35,52,173],"physician's":[37],"visual":[38],"observation":[39],"of":[40,83,138,166],"electrocardiogram.":[41],"In":[42],"article,":[44],"we":[45,117],"developed":[46],"a":[47],"novel":[48],"network":[49,60,76,164],"module":[50,80],"based":[51],"existing":[54,145],"bidirectional":[55],"gated":[56],"recurrent":[57],"unit":[58],"(B-GRU)":[59],"for":[61],"automated":[62],"LBBB,":[63],"RBBB,":[64],"normal":[66],"sinus":[67],"rhythm":[68],"detection.":[69],"Inspired":[70],"from":[71],"spatial":[72,95],"channel":[74,92,99],"squeeze-excitation":[75,93,96],"(scSENet),":[77],"proposed":[79],"is":[81,157],"capable":[82],"effectively":[84],"recalibrating":[85],"feature":[86],"representation":[87],"in":[88],"B-GRU":[89,123,147],"using":[90],"both":[91],"modules":[97,124],"along":[98],"space":[101],"to":[102,161],"emphasize":[103],"useful":[104],"features":[105],"while":[106,140],"suppressing":[107],"weak":[108],"ones,":[109],"namely,":[110],"BGcsSENet.":[111],"To":[112],"further":[113],"verify":[114],"its":[115],"effectiveness,":[116],"leverage":[118],"standard":[120],"GRU":[121],"as":[125],"control":[126],"models":[127],"across":[128],"two":[130],"public":[131],"databases.":[132],"Extensive":[133],"experiments":[134],"confirm":[135],"effectiveness":[137],"BGcsSENet,":[139],"yielding":[141],"better":[142],"performance":[143],"than":[144],"GRU,":[146],"modules,":[148],"many":[150],"published":[151],"approaches.":[152],"Particularly,":[153],"our":[154],"BGcsSENet":[155],"model":[156],"first":[159],"research":[160],"refine":[162],"architecture":[165],"B-GRU,":[167],"thus":[168],"demonstrating":[169],"considerable":[170],"application":[171],"potential":[172],"lightweight":[174],"devices.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}