{"id":"https://openalex.org/W4200513383","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624322","title":"Multiple-Time-Scale Data Augmentation and Application in AF detection","display_name":"Multiple-Time-Scale Data Augmentation and Application in AF detection","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4200513383","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624322"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei53629.2021.9624322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624322","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100373271","display_name":"Hongxia Wang","orcid":"https://orcid.org/0000-0002-1339-2504"},"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":"Hongxia Wang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056866222","display_name":"Na Mei","orcid":null},"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":"Na Mei","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749305","display_name":"Liting Zhang","orcid":"https://orcid.org/0000-0001-5175-1873"},"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"]},{"id":"https://openalex.org/I4210116517","display_name":"Shandong Provincial Hospital","ror":"https://ror.org/02ar2nf05","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liting Zhang","raw_affiliation_strings":["Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455","https://openalex.org/I4210116517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078380812","display_name":"Shoushui Wei","orcid":"https://orcid.org/0000-0001-8054-4400"},"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":"Shoushui Wei","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101990668","display_name":"Chun-Yuan Wang","orcid":"https://orcid.org/0000-0003-0983-8240"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092817","display_name":"Suzhou Institute of Biomedical Engineering and Technology","ror":"https://ror.org/00f58mx93","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyuan Wang","raw_affiliation_strings":["Engineering Research Center, Institute of Biomedical Engineering & Technology, Chinese Academy of Sciences, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center, Institute of Biomedical Engineering & Technology, Chinese Academy of Sciences, Suzhou, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092817"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445518","display_name":"Feifei Liu","orcid":"https://orcid.org/0000-0002-1585-3829"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Liu","raw_affiliation_strings":["School of Science, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023728534","display_name":"Xinge Jiang","orcid":"https://orcid.org/0009-0004-9220-527X"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinge Jiang","raw_affiliation_strings":["School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China","institution_ids":["https://openalex.org/I4210099312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"101","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":0.9976000189781189,"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":0.9976000189781189,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9818999767303467,"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/support-vector-machine","display_name":"Support vector machine","score":0.7481690645217896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031459212303162},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6879177093505859},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6153431534767151},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5959326028823853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5753464102745056},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5673716068267822},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5311110615730286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5209461450576782},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5091764330863953},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5071210861206055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4425986111164093},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.43784767389297485},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4177689850330353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3545319437980652},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12872737646102905}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7481690645217896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031459212303162},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6879177093505859},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6153431534767151},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5959326028823853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5753464102745056},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5673716068267822},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5311110615730286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5209461450576782},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5091764330863953},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5071210861206055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4425986111164093},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.43784767389297485},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4177689850330353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3545319437980652},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12872737646102905},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei53629.2021.9624322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624322","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1643936884","display_name":null,"funder_award_id":"ZR2020MF028","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6856586544","display_name":null,"funder_award_id":"82072014,6190114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G745479205","display_name":null,"funder_award_id":"2019YFE010670","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2053141315","https://openalex.org/W2117190680","https://openalex.org/W2148143831","https://openalex.org/W2864662136","https://openalex.org/W2884237723","https://openalex.org/W2912727208","https://openalex.org/W2951751045","https://openalex.org/W2990581967","https://openalex.org/W3008872739","https://openalex.org/W3015264729","https://openalex.org/W3030907323","https://openalex.org/W3099795053","https://openalex.org/W4288349221","https://openalex.org/W4289704203","https://openalex.org/W4294583247","https://openalex.org/W6735249503","https://openalex.org/W6738960736","https://openalex.org/W6754000701","https://openalex.org/W6762379022"],"related_works":["https://openalex.org/W1999699871","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W2786391746","https://openalex.org/W2021633306","https://openalex.org/W2006801911","https://openalex.org/W2033669961","https://openalex.org/W1990237101","https://openalex.org/W2187490799","https://openalex.org/W3019226033"],"abstract_inverted_index":{"Data":[0],"augmentation":[1,24,143],"is":[2],"an":[3],"effective":[4],"method":[5,25,65,144],"for":[6],"fully":[7],"training":[8,91,125],"a":[9,20,50],"model":[10],"with":[11,45],"limited":[12],"data":[13,23,61,142],"in":[14,85,100,145],"machine-learning":[15],"applications.":[16],"In":[17],"this":[18],"study,":[19],"novel":[21],"multiple-time-scale":[22],"was":[26,66],"developed":[27],"that":[28],"first":[29],"extracts":[30],"some":[31],"features":[32,44,55],"of":[33,49,56,71,104,124,139],"samples":[34,58],"on":[35],"multiple":[36],"time":[37,47],"scales":[38,48],"and":[39,82,93,127,132,148],"then":[40,94],"takes":[41],"the":[42,54,64,69,90,95,111,137,140],"stationary":[43],"various":[46],"single":[51],"sample":[52],"as":[53,89,110],"different":[57],"to":[59,68],"achieve":[60],"augmentation.":[62],"Finally,":[63],"applied":[67],"detection":[70,147],"atrial":[72],"fibrillation":[73],"(AF).":[74],"The":[75,121],"long-term":[76,96],"ECG":[77,97,102],"signals":[78,98],"from":[79],"AF":[80,146],"patients":[81],"control":[83],"group":[84],"PhysioBank":[86],"were":[87,108,130],"used":[88,109],"set,":[92,113],"collected":[99],"dynamic":[101],"room":[103],"Shandong":[105],"Provincial":[106],"Hospital":[107],"test":[112,128],"finally":[114],"classified":[115],"by":[116],"support":[117],"vector":[118],"machine":[119],"(SVM).":[120],"classification":[122],"accuracy":[123],"set":[126,129],"98.06%":[131],"93.33%,":[133],"respectively.":[134],"Which":[135],"proved":[136],"effectiveness":[138],"proposed":[141],"its":[149],"strong":[150],"generalization":[151],"ability.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}