{"id":"https://openalex.org/W4410229250","doi":"https://doi.org/10.1109/iccae64891.2025.10980605","title":"Hybrid Feature Extraction for 12-Lead Ecg Classification by Integrating Handcrafted and Deep Learning Techniques","display_name":"Hybrid Feature Extraction for 12-Lead Ecg Classification by Integrating Handcrafted and Deep Learning Techniques","publication_year":2025,"publication_date":"2025-03-20","ids":{"openalex":"https://openalex.org/W4410229250","doi":"https://doi.org/10.1109/iccae64891.2025.10980605"},"language":"en","primary_location":{"id":"doi:10.1109/iccae64891.2025.10980605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccae64891.2025.10980605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Computer and Automation Engineering (ICCAE)","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/A5117490977","display_name":"Oleksandr Ponemash","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Oleksandr Ponemash","raw_affiliation_strings":["School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033286820","display_name":"A. A. M. Muzahid","orcid":"https://orcid.org/0000-0003-2001-1922"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"A. A. M. Muzahid","raw_affiliation_strings":["School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114777239","display_name":"Reda Lamtoueh","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Reda Lamtoueh","raw_affiliation_strings":["School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676752","display_name":"Hua Han","orcid":"https://orcid.org/0000-0003-4632-2999"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Han","raw_affiliation_strings":["School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100684572","display_name":"Yujin Zhang","orcid":"https://orcid.org/0000-0003-1225-4334"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujin Zhang","raw_affiliation_strings":["School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electric Engineering, Shanghai University of Engineering Science,Shanghai,China,201620","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002219416","display_name":"Ferdous Sohel","orcid":"https://orcid.org/0000-0003-1557-4907"},"institutions":[{"id":"https://openalex.org/I176790772","display_name":"Murdoch University","ror":"https://ror.org/00r4sry34","country_code":"AU","type":"education","lineage":["https://openalex.org/I176790772"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ferdous Sohel","raw_affiliation_strings":["School of Information Technology, Murdoch University,Murdoch,WA,Australia,6150"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Murdoch University,Murdoch,WA,Australia,6150","institution_ids":["https://openalex.org/I176790772"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5117490977"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":2.8988,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89855622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11016","display_name":"Monoclonal and Polyclonal Antibodies Research","score":0.6513000130653381,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11016","display_name":"Monoclonal and Polyclonal Antibodies Research","score":0.6513000130653381,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.6473000049591064,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.6047000288963318,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528899908065796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7450509071350098},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6863505244255066},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5776523947715759},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.5219811201095581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5183802247047424},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4732438027858734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41099798679351807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528899908065796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7450509071350098},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6863505244255066},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5776523947715759},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.5219811201095581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5183802247047424},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4732438027858734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41099798679351807},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccae64891.2025.10980605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccae64891.2025.10980605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Computer and Automation Engineering (ICCAE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G555756959","display_name":null,"funder_award_id":"22ZR1426200,17ZR1411900","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G7399454691","display_name":null,"funder_award_id":"62103257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2162273778","https://openalex.org/W3013413803","https://openalex.org/W3098699929","https://openalex.org/W3120279585","https://openalex.org/W3127637041","https://openalex.org/W3163645474","https://openalex.org/W3185573055","https://openalex.org/W3197304313","https://openalex.org/W4323652738","https://openalex.org/W4379875256","https://openalex.org/W4385488654","https://openalex.org/W4385551321","https://openalex.org/W4388937251","https://openalex.org/W4402188920","https://openalex.org/W4410228922","https://openalex.org/W4410229383","https://openalex.org/W6874726338"],"related_works":["https://openalex.org/W4255463199","https://openalex.org/W4281691423","https://openalex.org/W2411039299","https://openalex.org/W1856410221","https://openalex.org/W2318949977","https://openalex.org/W2334139353","https://openalex.org/W4251174968","https://openalex.org/W4243014959","https://openalex.org/W2415764305","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Electrocardiograms":[0],"(ECGs)":[1],"are":[2,228],"essential":[3],"tools":[4],"for":[5,21,38,192,195],"diagnosing":[6],"cardiac":[7],"conditions.":[8],"However,":[9],"analyzing":[10],"12-lead":[11,40,155,182],"ECG":[12,41,102,124,161,183],"signals":[13],"manually":[14],"is":[15,45],"time-consuming,":[16],"making":[17],"automated":[18],"classification":[19,217],"crucial":[20],"efficient":[22],"and":[23,31,50,56,84,114,139,163,173,198,208,221],"accurate":[24],"diagnosis.":[25],"This":[26],"study":[27],"investigates":[28],"both":[29],"handcrafted":[30,94,207],"deep":[32],"learning":[33],"(DL)-based":[34],"feature":[35,95,196],"extraction":[36,96,197],"techniques":[37],"classifying":[39],"signals.":[42,103,125],"The":[43,178,201],"aim":[44],"to":[46,116,230],"enhance":[47],"diagnostic":[48],"accuracy":[49],"efficiency.":[51],"We":[52,126,185],"extracted":[53],"QRSTP":[54],"peaks":[55],"computed":[57],"various":[58],"time-domain":[59],"features,":[60],"including":[61,110,135],"heart":[62,64],"rate,":[63],"rate":[65],"variability":[66],"(<tex":[67],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[68,73,79,90],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$H":[69],"R":[70],"V$</tex>),":[71],"<tex":[72,78,89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$R":[74],"R$</tex>":[75],"intervals,":[76,81],"median":[77],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$R-R$</tex>":[80],"SDNN,":[82],"RMSSD,":[83],"PNN60,":[85],"based":[86],"on":[87],"the":[88,93,99,122,136,144,151,158,166,170,212],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$R$</tex>-peaks":[91],"during":[92],"process":[97],"from":[98,121,131,143,165],"12":[100],"-lead":[101],"Additionally,":[104],"we":[105],"applied":[106],"several":[107],"DL":[108,209],"algorithms,":[109],"CNN,":[111],"ResNet18,":[112],"VGG16,":[113],"DenseNet83,":[115],"extract":[117],"new":[118],"global":[119],"features":[120,210],"raw":[123],"used":[127],"a":[128,188],"merged":[129],"dataset":[130,179],"five":[132],"different":[133],"sources,":[134],"\u201cCPC":[137,140],"Database\u201d":[138,162],"Database":[141],"Extra\u201d":[142],"China":[145],"Physiological":[146],"Signal":[147],"Challenge":[148],"2018":[149],"(CPSC2018),":[150],"\u201cSt":[152],"Petersburg":[153],"INCART":[154],"Arrhythmia":[156],"Database,\u201d":[157,172],"\u201cPTB":[159],"Diagnostic":[160],"\u201cPTBXL\u201d":[164],"Physikalisch-Technische":[167],"Bundesanstalt":[168],"(PTB),":[169],"\u201cGeorgia":[171],"an":[174],"undisclosed":[175],"American":[176],"database.":[177],"comprises":[180],"22,797":[181],"recordings.":[184],"have":[186],"conducted":[187,229],"series":[189],"of":[190],"experiments":[191],"performance":[193],"evaluation":[194],"training":[199],"models.":[200],"experimental":[202],"results":[203],"show":[204],"that":[205],"combining":[206],"outperforms":[211],"DL-based":[213],"methods":[214],"in":[215],"improving":[216],"performance.":[218],"Both":[219],"quantitative":[220],"qualitative":[222],"studies,":[223],"along":[224],"with":[225],"ablation":[226],"experiments,":[227],"further":[231],"validate":[232],"our":[233],"approach.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
