{"id":"https://openalex.org/W4375869277","doi":"https://doi.org/10.1109/icassp49357.2023.10095562","title":"Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation","display_name":"Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869277","doi":"https://doi.org/10.1109/icassp49357.2023.10095562"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5058194829","display_name":"Jielin Qiu","orcid":"https://orcid.org/0000-0002-7384-1324"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jielin Qiu","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101186958","display_name":"Jiacheng Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiacheng Zhu","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102020639","display_name":"Mengdi Xu","orcid":"https://orcid.org/0000-0001-6087-7558"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengdi Xu","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010028058","display_name":"Peide Huang","orcid":"https://orcid.org/0000-0002-1048-8690"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peide Huang","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034727537","display_name":"Michael Rosenberg","orcid":"https://orcid.org/0000-0003-1490-3115"},"institutions":[{"id":"https://openalex.org/I2802236040","display_name":"University of Colorado System","ror":"https://ror.org/00jc20583","country_code":"US","type":"education","lineage":["https://openalex.org/I2802236040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Rosenberg","raw_affiliation_strings":["University of Colorado"],"affiliations":[{"raw_affiliation_string":"University of Colorado","institution_ids":["https://openalex.org/I2802236040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024911410","display_name":"Douglas J. Weber","orcid":"https://orcid.org/0000-0002-9782-3497"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas Weber","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088928670","display_name":"Emerson Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I1310421338","display_name":"Allegheny Health Network","ror":"https://ror.org/0101kry21","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1310421338"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emerson Liu","raw_affiliation_strings":["Allegheny Health Network"],"affiliations":[{"raw_affiliation_string":"Allegheny Health Network","institution_ids":["https://openalex.org/I1310421338"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037644321","display_name":"Ding Zhao","orcid":"https://orcid.org/0000-0002-9400-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding Zhao","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5058194829"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.134,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79498974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9812999963760376,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/robustness","display_name":"Robustness (evolution)","score":0.8218883275985718},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.6728709936141968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650199890136719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.53729248046875},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5367938280105591},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.5067556500434875},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4909120202064514},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.47356903553009033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4414829909801483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3917824625968933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34159642457962036},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.16029426455497742},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14187085628509521},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12350597977638245},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07549917697906494}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8218883275985718},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.6728709936141968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650199890136719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53729248046875},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5367938280105591},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.5067556500434875},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4909120202064514},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.47356903553009033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4414829909801483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3917824625968933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34159642457962036},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.16029426455497742},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14187085628509521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12350597977638245},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07549917697906494},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1585160083","https://openalex.org/W2104933073","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2148143831","https://openalex.org/W2158131535","https://openalex.org/W2903130652","https://openalex.org/W3005387090","https://openalex.org/W3027572331","https://openalex.org/W3084949122","https://openalex.org/W3121032337","https://openalex.org/W3128617766","https://openalex.org/W3128824338","https://openalex.org/W3133470659","https://openalex.org/W3135891860","https://openalex.org/W3165106054","https://openalex.org/W3167986199","https://openalex.org/W3173912422","https://openalex.org/W3195146636","https://openalex.org/W3200271021","https://openalex.org/W3202931177","https://openalex.org/W3208266734","https://openalex.org/W4205916818","https://openalex.org/W4224903924","https://openalex.org/W4287245321","https://openalex.org/W4289785633","https://openalex.org/W4385245566","https://openalex.org/W4386576692","https://openalex.org/W6675634716","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6682962330","https://openalex.org/W6739901393","https://openalex.org/W6756299411","https://openalex.org/W6790868785","https://openalex.org/W6795007937","https://openalex.org/W6797185979","https://openalex.org/W6805967663","https://openalex.org/W6810346347","https://openalex.org/W6841538373","https://openalex.org/W6848631004","https://openalex.org/W6884878119"],"related_works":["https://openalex.org/W4307845877","https://openalex.org/W2044447779","https://openalex.org/W2419671417","https://openalex.org/W2385876366","https://openalex.org/W2900287648","https://openalex.org/W1914472286","https://openalex.org/W2168366193","https://openalex.org/W2982855776","https://openalex.org/W2917731858","https://openalex.org/W4389518428"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,36],"focus":[4],"on":[5,91],"a":[6,55],"new":[7],"method":[8],"of":[9,28,104],"data":[10,15,41,49,106],"augmentation":[11,107],"to":[12,22,46,74,87],"solve":[13],"the":[14,24,38,48,83,102],"imbalance":[16],"problem":[17],"within":[18],"imbalanced":[19],"ECG":[20,39,44,93],"datasets":[21],"improve":[23],"robustness":[25,100],"and":[26,71,99],"accuracy":[27,98],"heart":[29,77],"disease":[30,40],"detection.":[31],"By":[32],"using":[33],"Optimal":[34],"Transport,":[35],"augment":[37],"from":[42,68],"normal":[43],"beats":[45],"balance":[47],"among":[50],"different":[51,64],"categories.":[52],"We":[53],"build":[54],"Multi-Feature":[56],"Transformer":[57],"(MF-Transformer)":[58],"as":[59],"our":[60,105],"classification":[61,84],"model,":[62],"where":[63],"features":[65],"are":[66],"extracted":[67],"both":[69],"time":[70],"frequency":[72],"domains":[73],"diagnose":[75],"various":[76],"conditions.":[78],"Our":[79],"results":[80],"demonstrate":[81],"1)":[82],"models\u2019":[85],"ability":[86],"make":[88],"competitive":[89],"predictions":[90],"five":[92],"categories;":[94],"2)":[95],"improvements":[96],"in":[97],"reflecting":[101],"effectiveness":[103],"method.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}