{"id":"https://openalex.org/W4296967834","doi":"https://doi.org/10.1007/s40747-022-00861-z","title":"Fusing depth local dual-view features and dual-input transformer framework for improving the recognition ability of motion artifact-contaminated electrocardiogram","display_name":"Fusing depth local dual-view features and dual-input transformer framework for improving the recognition ability of motion artifact-contaminated electrocardiogram","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4296967834","doi":"https://doi.org/10.1007/s40747-022-00861-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-022-00861-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00861-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00861-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00861-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056436818","display_name":"Shuaiying Yuan","orcid":"https://orcid.org/0000-0002-8878-2021"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaiying Yuan","raw_affiliation_strings":["School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210121573"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088516356","display_name":"Ziyang He","orcid":"https://orcid.org/0000-0003-3286-7138"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyang He","raw_affiliation_strings":["School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210121573"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012438499","display_name":"Jianhui Zhao","orcid":"https://orcid.org/0000-0001-5803-2564"},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Zhao","raw_affiliation_strings":["School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210121573"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101999635","display_name":"Zhiyong Yuan","orcid":"https://orcid.org/0000-0001-9608-6037"},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyong Yuan","raw_affiliation_strings":["School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China","institution_ids":["https://openalex.org/I4210121573"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101999635"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210121573"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21858439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":"981","last_page":"999"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/transformer","display_name":"Transformer","score":0.6971350908279419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527742147445679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6407473683357239},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.591795802116394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5359395742416382},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.42626774311065674},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4108765721321106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2215861678123474}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6971350908279419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527742147445679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6407473683357239},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.591795802116394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5359395742416382},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.42626774311065674},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4108765721321106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2215861678123474},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-022-00861-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00861-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00861-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:457ad9c6261645c99ee14225083426ea","is_oa":true,"landing_page_url":"https://doaj.org/article/457ad9c6261645c99ee14225083426ea","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 9, Iss 1, Pp 981-999 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-022-00861-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-022-00861-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-022-00861-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336744","display_name":"Science and Technology Program of Hubei Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296967834.pdf","grobid_xml":"https://content.openalex.org/works/W4296967834.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W157847150","https://openalex.org/W1587559447","https://openalex.org/W1973232110","https://openalex.org/W1979553776","https://openalex.org/W1994505190","https://openalex.org/W2021044602","https://openalex.org/W2038436648","https://openalex.org/W2041496924","https://openalex.org/W2082484042","https://openalex.org/W2088171019","https://openalex.org/W2089468765","https://openalex.org/W2114193021","https://openalex.org/W2126777570","https://openalex.org/W2138402108","https://openalex.org/W2140095548","https://openalex.org/W2172027871","https://openalex.org/W2319523047","https://openalex.org/W2401964123","https://openalex.org/W2482102801","https://openalex.org/W2520372397","https://openalex.org/W2527977052","https://openalex.org/W2587967768","https://openalex.org/W2714024555","https://openalex.org/W2768497671","https://openalex.org/W2801448182","https://openalex.org/W2810965665","https://openalex.org/W2914548610","https://openalex.org/W2963532813","https://openalex.org/W2990501926","https://openalex.org/W2997833216","https://openalex.org/W3005387090","https://openalex.org/W3026654921","https://openalex.org/W3037850496","https://openalex.org/W3039594194","https://openalex.org/W3096809883","https://openalex.org/W3110848447","https://openalex.org/W3135169846","https://openalex.org/W3163178735","https://openalex.org/W3178317932","https://openalex.org/W3197046559","https://openalex.org/W4206079402"],"related_works":["https://openalex.org/W2003734918","https://openalex.org/W3215841148","https://openalex.org/W2805791621","https://openalex.org/W2363475415","https://openalex.org/W2789183689","https://openalex.org/W2124864282","https://openalex.org/W2033914206","https://openalex.org/W4239295757","https://openalex.org/W2146076056","https://openalex.org/W2999645641"],"abstract_inverted_index":{"Abstract":[0],"Heart":[1],"health":[2],"monitoring":[3],"based":[4],"on":[5,141,150],"wearable":[6],"devices":[7],"is":[8,28,120],"often":[9],"contaminated":[10,48],"by":[11,49,116,198],"various":[12],"noises":[13],"to":[14,22,34,78,91,124],"varying":[15],"degrees.":[16],"Using":[17],"signal":[18,24],"quality":[19,25,46],"indicators":[20],"(SQIs)":[21],"achieve":[23],"assessment":[26],"(SQA)":[27],"among":[29],"the":[30,39,65,73,80,111,125,133,136,151,155,161,168,189,194],"most":[31],"promising":[32],"ways":[33],"solve":[35],"this":[36],"problem,":[37],"but":[38],"performance":[40],"of":[41,83,138,170,186,212],"SQIs":[42,172],"in":[43,157],"expressing":[44],"ECG":[45,98],"features":[47,71,89,114,140,163,173],"motion":[50],"artifact":[51],"(MA)":[52],"noise":[53],"remains":[54],"disappointing.":[55],"Here,":[56],"we":[57,130,146],"present":[58],"a":[59],"novel":[60],"SQA":[61,191],"method":[62],"that":[63],"fuses":[64,109],"proposed":[66,87],"depth":[67,100],"local":[68,101],"dual-view":[69],"(DLDV)":[70],"and":[72,97,103,135,207],"dual-input":[74],"transformer":[75],"(DI-Transformer)":[76],"framework":[77],"improve":[79],"recognition":[81],"ability":[82],"MA-contaminated":[84],"ECGs.":[85],"The":[86],"DLDV":[88,139,162],"are":[90],"identify":[92],"subtle":[93],"differences":[94],"between":[95],"MA":[96,199],"through":[99],"amplitude":[102],"phase":[104],"angle":[105],"features.":[106],"When":[107,177],"it":[108,182],"with":[110,179],"temporal":[112],"relationship":[113],"extracted":[115],"DI-Transformer,":[117,181],"its":[118],"accuracy":[119,137,185,211],"significantly":[121],"improved":[122],"compared":[123],"SQIs-based":[126],"methods.":[127,192],"In":[128],"addition,":[129],"also":[131,208],"verify":[132],"robustness":[134],"four":[142,204],"traditional":[143,205],"classifiers.":[144],"Finally,":[145],"conduct":[147],"our":[148,180,201],"experiments":[149],"two":[152],"datasets.":[153],"On":[154,193],"PhysioNet/Computing":[156],"Cardiology":[158],"Challenge":[159],"dataset,":[160],"(Acc":[164,174],"=":[165,175],"95.49%)":[166],"outperform":[167],"combination":[169],"six":[171],"91.26%).":[176],"combined":[178],"delivered":[183,209],"an":[184,210],"99.62%,":[187],"outperforming":[188],"state-of-the-art":[190],"artificial":[195],"testset":[196],"constructed":[197],"noise,":[200],"DI-Transformer":[202],"outperforms":[203],"methods":[206],"97.69%.":[213]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
