{"id":"https://openalex.org/W4403893413","doi":"https://doi.org/10.1186/s13634-024-01187-3","title":"EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms","display_name":"EGCNet: a hierarchical graph convolutional neural network for improved classification of electrocardiograms","publication_year":2024,"publication_date":"2024-10-30","ids":{"openalex":"https://openalex.org/W4403893413","doi":"https://doi.org/10.1186/s13634-024-01187-3"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01187-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01187-3","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01187-3","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01187-3","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065617103","display_name":"Jianhui Peng","orcid":"https://orcid.org/0000-0001-8268-655X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Peng","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000562482","display_name":"Ao Ran","orcid":"https://orcid.org/0000-0002-0182-3741"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Ran","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050273648","display_name":"Chengzhang Yu","orcid":"https://orcid.org/0000-0001-5067-9822"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjin Yu","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100725636","display_name":"Huafeng Liu","orcid":"https://orcid.org/0000-0003-0757-2362"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huafeng Liu","raw_affiliation_strings":["State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100725636"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":2.8666,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92286404,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"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":0.993399977684021,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.724973738193512},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7081607580184937},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5997715592384338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.577486515045166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5345090627670288},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32686373591423035},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17593839764595032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724973738193512},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7081607580184937},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5997715592384338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.577486515045166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5345090627670288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32686373591423035},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17593839764595032}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-024-01187-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01187-3","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01187-3","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:06fef154a370450c89446cf8e358334d","is_oa":false,"landing_page_url":"https://doaj.org/article/06fef154a370450c89446cf8e358334d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-23 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01187-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01187-3","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01187-3","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G43341757","display_name":null,"funder_award_id":"U1809204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7877089559","display_name":null,"funder_award_id":"61525106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8197540626","display_name":null,"funder_award_id":"U1809204, 61525106","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"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403893413.pdf","grobid_xml":"https://content.openalex.org/works/W4403893413.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1570480640","https://openalex.org/W1820741694","https://openalex.org/W1965555277","https://openalex.org/W1981356892","https://openalex.org/W2119220910","https://openalex.org/W2124785086","https://openalex.org/W2127510558","https://openalex.org/W2133876672","https://openalex.org/W2158787690","https://openalex.org/W2181608983","https://openalex.org/W2194775991","https://openalex.org/W2223222085","https://openalex.org/W2291961022","https://openalex.org/W2610751394","https://openalex.org/W2625741924","https://openalex.org/W2741246468","https://openalex.org/W2775229114","https://openalex.org/W2795302640","https://openalex.org/W2796273481","https://openalex.org/W2805050064","https://openalex.org/W2807367691","https://openalex.org/W2887679614","https://openalex.org/W2888728157","https://openalex.org/W2889838428","https://openalex.org/W2898941944","https://openalex.org/W2898996319","https://openalex.org/W2902644322","https://openalex.org/W2912568923","https://openalex.org/W2942497026","https://openalex.org/W2951632519","https://openalex.org/W2972178360","https://openalex.org/W2974952570","https://openalex.org/W3007969083","https://openalex.org/W3008792398","https://openalex.org/W3015494572","https://openalex.org/W3017135785","https://openalex.org/W3039868745","https://openalex.org/W3042212722","https://openalex.org/W3082773792","https://openalex.org/W3095525059","https://openalex.org/W3098699929","https://openalex.org/W3099916295","https://openalex.org/W3100777112","https://openalex.org/W3120663245","https://openalex.org/W3120847358","https://openalex.org/W3128492853","https://openalex.org/W3135891860","https://openalex.org/W3159847291","https://openalex.org/W3168997536","https://openalex.org/W3195337786","https://openalex.org/W3201016655","https://openalex.org/W3201747580","https://openalex.org/W4226146699","https://openalex.org/W4250640407"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"The":[0],"automatic":[1],"classification":[2,57],"of":[3,14,111,125,195,201],"electrocardiograms":[4,60],"(ECGs)":[5],"plays":[6],"a":[7,56,93,104,130,193],"crucial":[8],"role":[9],"in":[10,41,51,149,188],"the":[11,44,63,79,99,114,117,123,139,146,150,161,175,189],"early":[12],"diagnosis":[13],"cardiovascular":[15],"diseases.":[16,120],"In":[17,72,102],"recent":[18],"research,":[19],"deep":[20],"neural":[21],"network":[22],"(DNN)-based":[23],"methods":[24,38],"have":[25],"garnered":[26],"significant":[27],"attention":[28],"due":[29],"to":[30,69,86,97,160],"their":[31],"exceptional":[32],"feature":[33],"extraction":[34],"capabilities.":[35],"However,":[36],"these":[37],"face":[39],"challenges":[40],"dealing":[42],"with":[43,192],"complex":[45],"inter-":[46],"and":[47,81,113,154,197],"intra-class":[48,88],"dependencies":[49],"inherent":[50],"different":[52],"arrhythmias.":[53],"We":[54],"propose":[55],"model":[58,98,184],"for":[59],"based":[61],"on":[62],"Graph":[64],"Convolutional":[65],"Neural":[66],"Network":[67],"(EGCNet)":[68],"address":[70],"this.":[71],"our":[73,168,183],"EGCNet":[74],"framework,":[75],"we":[76,91,128,143,166],"first":[77],"employ":[78],"row":[80],"column":[82],"1-dimensional":[83],"residual":[84],"convolution":[85],"learn":[87,145],"dependency.":[89,101],"Then,":[90],"construct":[92],"hierarchical":[94,131],"graph":[95,132,152,163],"structure":[96,133],"inter-class":[100,126],"such":[103],"graph,":[105],"each":[106],"node":[107],"represents":[108],"one":[109],"type":[110],"disease,":[112],"edges":[115],"describe":[116],"relationship":[118],"between":[119],"To":[121],"reduce":[122],"complexity":[124],"dependency,":[127],"build":[129],"by":[134],"treating":[135],"similar":[136],"nodes":[137],"as":[138],"same":[140],"type.":[141],"Thus,":[142],"can":[144],"discriminant":[147],"dependency":[148],"higher-level":[151],"space":[153],"feed":[155],"this":[156],"high-level":[157],"knowledge":[158],"back":[159],"lower-level":[162],"space.":[164],"Finally,":[165],"evaluated":[167],"method":[169],"using":[170],"publicly":[171],"available":[172],"datasets":[173],"from":[174],"PhysioNet/Computing":[176],"Challenge":[177],"2020":[178],"ECG":[179],"data.":[180],"For":[181],"instance,":[182],"achieved":[185],"robust":[186],"performance":[187],"24-label":[190],"experiment":[191],"precision":[194],"0.753":[196],"an":[198],"F1":[199],"score":[200],"0.722.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":4}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}
