{"id":"https://openalex.org/W2795131026","doi":"https://doi.org/10.22489/cinc.2017.210-084","title":"Atrial Fibrillation Detection using Stationary Wavelet Transform and Deep Learning","display_name":"Atrial Fibrillation Detection using Stationary Wavelet Transform and Deep Learning","publication_year":2017,"publication_date":"2017-09-14","ids":{"openalex":"https://openalex.org/W2795131026","doi":"https://doi.org/10.22489/cinc.2017.210-084","mag":"2795131026"},"language":"en","primary_location":{"id":"doi:10.22489/cinc.2017.210-084","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.210-084","pdf_url":"https://doi.org/10.22489/cinc.2017.210-084","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.22489/cinc.2017.210-084","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100670074","display_name":"Yong Xia","orcid":"https://orcid.org/0000-0001-9273-2847"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Xia","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038626880","display_name":"Naren Wulan","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naren Wulan","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049558861","display_name":"Kuanquan Wang","orcid":"https://orcid.org/0000-0003-1347-3491"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanquan Wang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043271142","display_name":"Henggui Zhang","orcid":"https://orcid.org/0000-0002-0863-5807"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Henggui Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China","University of Manchester, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100670074"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.786,"has_fulltext":true,"cited_by_count":29,"citation_normalized_percentile":{"value":0.87176667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"44","issue":null,"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":0.9994000196456909,"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":0.9994000196456909,"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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9969000220298767,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9789000153541565,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.6310269236564636},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6050226092338562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5670639872550964},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5499927997589111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5329557061195374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4908598065376282},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.4343966245651245},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.3996974527835846},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.2463672161102295},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19407007098197937}],"concepts":[{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.6310269236564636},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6050226092338562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5670639872550964},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5499927997589111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5329557061195374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4908598065376282},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.4343966245651245},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.3996974527835846},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.2463672161102295},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19407007098197937}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.22489/cinc.2017.210-084","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.210-084","pdf_url":"https://doi.org/10.22489/cinc.2017.210-084","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.22489/cinc.2017.210-084","is_oa":true,"landing_page_url":"https://doi.org/10.22489/cinc.2017.210-084","pdf_url":"https://doi.org/10.22489/cinc.2017.210-084","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2696157397","display_name":null,"funder_award_id":"ZR201","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8612990737","display_name":null,"funder_award_id":"ZR2015FM028","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8667435242","display_name":null,"funder_award_id":"2014GSF118152","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2795131026.pdf","grobid_xml":"https://content.openalex.org/works/W2795131026.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1982692087","https://openalex.org/W2023143117","https://openalex.org/W2041691167","https://openalex.org/W2063756240","https://openalex.org/W2076151226","https://openalex.org/W2094144838","https://openalex.org/W2097201053","https://openalex.org/W2125541897","https://openalex.org/W2131439816","https://openalex.org/W2162800060","https://openalex.org/W2170605288","https://openalex.org/W2950094539"],"related_works":["https://openalex.org/W1864655828","https://openalex.org/W1577789985","https://openalex.org/W1973592186","https://openalex.org/W1918078477","https://openalex.org/W2332612867","https://openalex.org/W2792520941","https://openalex.org/W2033317434","https://openalex.org/W2548281728","https://openalex.org/W2047056993","https://openalex.org/W4205424440"],"abstract_inverted_index":{"Deep":[0],"learning":[1,184],"has":[2],"achieved":[3],"a":[4],"great":[5],"success":[6],"in":[7],"the":[8,31,65,79,82,88,91,104,114,125,133,148,152,161,170,177,204,210],"fields":[9],"of":[10,16,33,42,57,59,85,90,127,130,164,179,216,219,223,228],"image":[11],"and":[12,21,55,112,185,194,221],"audio":[13],"recognition":[14],"because":[15],"avoiding":[17],"explicit":[18],"feature":[19],"extraction":[20],"attaining":[22],"high":[23],"classification":[24],"accuracy.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29,69,102],"explore":[30],"application":[32],"deep":[34,201],"convolutional":[35,192],"neural":[36],"networks":[37],"(DCNNs)":[38],"for":[39,53,64,81,109,147,160,182,189,200],"automatic":[40],"detection":[41],"atrial":[43],"fibrillation":[44,207],"(AF).":[45],"The":[46],"2-dimension":[47],"parameter":[48,121],"input":[49,83,128],"structure":[50,84,122,129],"is":[51,72,95,117,158],"essential":[52],"DCNNs":[54],"tens":[56],"thousands":[58],"samples":[60,94],"are":[61,137,198],"also":[62,96,175],"needed":[63],"proper":[66],"operation.":[67],"As":[68,188],"know,":[70],"ECG":[71,110,135,156],"one-dimension":[73],"time-varying":[74],"signal,":[75],"which":[76,225],"doesn't":[77],"match":[78],"requirement":[80,126],"DCNNs.":[86,131],"Furthermore":[87],"number":[89,178],"marked":[92],"AF":[93,166,180],"limited.":[97],"To":[98],"address":[99],"these":[100],"problems,":[101],"adopt":[103],"stationary":[105],"wavelet":[106],"transform":[107],"(SWT)":[108],"preprocessing":[111],"then":[113],"processed":[115],"signal":[116],"reorganized":[118],"into":[119,139],"two-dimensional":[120],"to":[123],"meet":[124],"Besides,":[132],"original":[134],"signals":[136],"divided":[138],"very":[140],"short":[141,155,165],"data":[142,208],"segments":[143],"(namely":[144],"5-second":[145],"segments)":[146],"following":[149],"reasons.":[150],"On":[151,169,203],"one":[153],"hand,":[154,172],"segment":[157],"helpful":[159],"algorithm":[162],"assessment":[163],"episode":[167],"detection.":[168],"other":[171,229],"it":[173],"can":[174,213],"increase":[176],"sample":[181],"machine":[183],"experiment":[186],"evaluation.":[187],"DCNNs,":[190],"multiple":[191],"layers":[193,197],"fully":[195],"connected":[196],"used":[199],"learning.":[202],"MIT-BIH":[205],"Atrial":[206],"set,":[209],"proposed":[211],"method":[212],"achieve":[214],"sensitivity":[215],"98.79%,":[217],"specificity":[218],"97.87%":[220],"accuracy":[222],"98.63%,":[224],"outperforms":[226],"most":[227],"algorithms.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}