{"id":"https://openalex.org/W4312429240","doi":"https://doi.org/10.1145/3570773.3570856","title":"Loss Optimization Based Algorithm for Multi-classification of ECG Signal","display_name":"Loss Optimization Based Algorithm for Multi-classification of ECG Signal","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4312429240","doi":"https://doi.org/10.1145/3570773.3570856"},"language":"en","primary_location":{"id":"doi:10.1145/3570773.3570856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5063059495","display_name":"Junhui Liu","orcid":"https://orcid.org/0000-0001-9583-4283"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"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/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junhui Liu","raw_affiliation_strings":["School of Microelectronics, Shandong University, China and \rShandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, China and \rShandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032184304","display_name":"Ming Zeng","orcid":"https://orcid.org/0000-0002-8513-8249"},"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":"Ming Zeng","raw_affiliation_strings":["School of Microelectronics, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055461165","display_name":"Ke Shan","orcid":"https://orcid.org/0000-0002-4146-5838"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Shan","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015624275","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0003-1321-334X"},"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":"Lan Tian","raw_affiliation_strings":["School of Microelectronics, Shandong University, China"],"affiliations":[{"raw_affiliation_string":"School of Microelectronics, Shandong University, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063059495"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I154099455","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.3283,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62829671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"541"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9872000217437744,"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":0.9793000221252441,"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/computer-science","display_name":"Computer science","score":0.7041752338409424},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6694869995117188},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6576504707336426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6574773788452148},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5519267916679382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5387870073318481},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48964768648147583},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4779776930809021},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.42697200179100037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41673824191093445},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18637123703956604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10329940915107727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07565540075302124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041752338409424},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6694869995117188},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6576504707336426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6574773788452148},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5519267916679382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5387870073318481},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48964768648147583},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4779776930809021},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.42697200179100037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41673824191093445},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18637123703956604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10329940915107727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07565540075302124},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570773.3570856","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2029503776","https://openalex.org/W2276849971","https://openalex.org/W2795302640","https://openalex.org/W2888670469","https://openalex.org/W2889838428","https://openalex.org/W2963430933","https://openalex.org/W3020589325","https://openalex.org/W3027572331","https://openalex.org/W3035529406","https://openalex.org/W3047855687","https://openalex.org/W3081784219","https://openalex.org/W3083913352","https://openalex.org/W3084352865","https://openalex.org/W3084949122"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W2804383999","https://openalex.org/W4389428568"],"abstract_inverted_index":{"There":[0],"is":[1],"a":[2,43,73],"wide":[3],"range":[4],"of":[5,21,59,72,88,93,100,119,190],"cardiac":[6],"diseases,":[7],"and":[8,23,29,82,91,104,171],"the":[9,19,55,70,117,120,127,131,136,152,156,160,164,172,188,195],"electrocardiogram":[10],"(ECG)":[11],"signal":[12,49,122,192],"allows":[13],"for":[14,47],"relevant":[15],"diagnostic":[16,25,36],"classification.":[17],"With":[18],"development":[20],"telemedicine":[22],"computer-aided":[24],"techniques,":[26],"early":[27],"detection":[28],"timely":[30],"treatment":[31],"place":[32],"new":[33],"demands":[34],"on":[35,52],"algorithms.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"deep":[44,75,181],"learning":[45,76,182,197],"algorithm":[46,77,129,183],"ECG":[48,60,64,121,137,191],"multi-classification":[50,57,123,189],"based":[51],"loss":[53,84,102],"optimization,":[54],"decomposing":[56,135],"task":[58,80,94,101,109,141],"signals":[61,65,138],"into":[62,142],"multiple":[63],"binary":[66,144],"classification":[67,140,145],"tasks,":[68],"using":[69,130],"framework":[71],"multi-task":[74,180],"by":[78,134],"sharing":[79],"features,":[81],"performing":[83],"optimization":[85],"in":[86,187],"terms":[87],"both":[89],"magnitude":[90],"direction":[92],"gradients":[95],"to":[96,108,194],"avoid":[97],"manual":[98],"setting":[99],"weights":[103],"negative":[105],"migration":[106],"due":[107],"losses":[110],"canceling":[111],"each":[112],"other":[113],"out,":[114],"thereby":[115],"improving":[116],"performance":[118,186],"task.":[124],"We":[125],"evaluated":[126],"proposed":[128,179],"PTB-XL":[132],"dataset":[133],"23":[139,143],"tasks.":[146],"The":[147,178],"experimental":[148],"results":[149],"showed":[150,184],"that":[151],"macro-averaging":[153,166],"area":[154],"under":[155],"curve":[157],"achieved":[158,162,169,176],"0.950,":[159],"accuracy":[161],"0.965,":[163],"label-based":[165],"F1":[167,174],"score":[168,175],"0.583":[170],"sample-based":[173],"0.777.":[177],"good":[185],"compared":[193],"single-task":[196],"algorithm.":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}