{"id":"https://openalex.org/W4406328501","doi":"https://doi.org/10.1145/3706890.3706956","title":"A generalization model for arrhythmia classification based on Spectral feature extraction and domain generalization","display_name":"A generalization model for arrhythmia classification based on Spectral feature extraction and domain generalization","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328501","doi":"https://doi.org/10.1145/3706890.3706956"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":null,"display_name":"Zhenpan Liu","orcid":"https://orcid.org/0009-0005-8022-2475"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenpan Liu","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0005-8022-2475","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053751588","display_name":"Yang Xiang","orcid":"https://orcid.org/0000-0001-7517-330X"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Yang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0001-7517-330X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.3826,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70613681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9810000061988831,"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":0.9438999891281128,"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/generalization","display_name":"Generalization","score":0.8246891498565674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6212561726570129},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6021625399589539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5786832571029663},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5228714942932129},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44833120703697205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21839675307273865}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8246891498565674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212561726570129},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6021625399589539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5786832571029663},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5228714942932129},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44833120703697205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21839675307273865},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3706956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","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":6,"referenced_works":["https://openalex.org/W572451314","https://openalex.org/W2999945891","https://openalex.org/W3005055041","https://openalex.org/W3125128672","https://openalex.org/W4303453816","https://openalex.org/W4316013206"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278"],"abstract_inverted_index":{"Arrhythmia":[0],"is":[1,29,63,83,130,139,149],"a":[2,10,16],"serious":[3],"cardiovascular":[4],"disease":[5],"that":[6,64],"can":[7],"greatly":[8],"affect":[9],"patient's":[11],"health":[12],"and":[13,39,109,136,145,170,189],"even":[14],"pose":[15],"risk":[17],"to":[18,72,85,118,156],"their":[19],"life.":[20],"Automatic":[21],"classification":[22,104,187],"of":[23,30,68,124],"arrhythmia":[24,103],"through":[25],"12-lead":[26,125],"electrocardiogram":[27],"(ECG)":[28],"great":[31,45],"clinical":[32,58],"significance.":[33],"In":[34],"recent":[35],"years,":[36],"machine":[37],"learning":[38,41,148],"deep":[40],"technologies":[42],"have":[43,51],"made":[44],"progress":[46],"in":[47,57,65,141,151,185],"this":[48],"field,":[49],"but":[50],"not":[52],"yet":[53],"been":[54],"widely":[55],"used":[56,131,169],"practice.":[59],"The":[60],"main":[61],"reason":[62],"the":[66,73,81,112,120,133,142,152,177],"process":[67],"ECG":[69,126,163],"classification,":[70],"due":[71],"distribution":[74,89],"differences":[75],"among":[76],"different":[77,88],"data":[78,86],"sources,":[79],"when":[80],"model":[82,105,113],"applied":[84],"with":[87,176],"from":[90,165],"its":[91,94],"training":[92],"dataset,":[93],"performance":[95,188],"often":[96],"declines":[97],"significantly.":[98],"This":[99],"study":[100],"proposes":[101],"an":[102],"based":[106],"on":[107],"SFE":[108],"DG.":[110],"Firstly,":[111],"uses":[114],"short-time":[115],"Fourier":[116],"transform":[117],"obtain":[119],"frequency":[121],"domain":[122],"features":[123],"signals.":[127],"Then,":[128],"ResNet-18":[129],"as":[132,172],"backbone":[134],"model,":[135,179],"feature":[137,147],"alignment":[138],"performed":[140,150],"shallower":[143],"layers":[144],"adversarial":[146],"deeper":[153],"layers.":[154],"Finally,":[155],"evaluate":[157],"our":[158,180],"approach,":[159],"four":[160,166],"publicly":[161],"available":[162],"datasets":[164],"sources":[167],"were":[168],"tested":[171],"separate":[173],"domains.":[174],"Compared":[175],"baseline":[178],"approach":[181],"achieves":[182],"significant":[183],"improvements":[184],"both":[186],"generalization":[190],"ability.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}