{"id":"https://openalex.org/W3185098703","doi":"https://doi.org/10.1109/metroind4.0iot51437.2021.9488556","title":"2D ECG Image Based Biometric Identification Using Stacked Autoencoders","display_name":"2D ECG Image Based Biometric Identification Using Stacked Autoencoders","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3185098703","doi":"https://doi.org/10.1109/metroind4.0iot51437.2021.9488556","mag":"3185098703"},"language":"en","primary_location":{"id":"doi:10.1109/metroind4.0iot51437.2021.9488556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot51437.2021.9488556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)","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/A5072628070","display_name":"Mohamed Benouis","orcid":"https://orcid.org/0000-0002-9107-9329"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohamed Benouis","raw_affiliation_strings":["Laboratory of informatics and its Applications of M'sila (LIAM), Msila, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of informatics and its Applications of M'sila (LIAM), Msila, Algeria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049654210","display_name":"Meriem Reguide","orcid":null},"institutions":[{"id":"https://openalex.org/I40193446","display_name":"University Ferhat Abbas of Setif","ror":"https://ror.org/02rzqza52","country_code":"DZ","type":"education","lineage":["https://openalex.org/I40193446"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Meriem Reguide","raw_affiliation_strings":["University Ferhat Abbas Setif 1, Setif, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Ferhat Abbas Setif 1, Setif, Algeria","institution_ids":["https://openalex.org/I40193446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047216377","display_name":"Alfredo Rosado-Mu\u00f1oz","orcid":"https://orcid.org/0000-0002-0429-0573"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alfredo Rosado-Munoz","raw_affiliation_strings":["University of Valencia, ETSE School of Engineering, Burjassot, Valnecia, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Valencia, ETSE School of Engineering, Burjassot, Valnecia, Spain","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087580730","display_name":"Lotfi Mostefai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148060","display_name":"Universit\u00e9 de Saida Dr Moulay Tahar","ror":"https://ror.org/03mwqca46","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210148060"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Lotfi Mostefai","raw_affiliation_strings":["LGE Genie-Electrotechnics Laboratory, Dr. Tahar Moulay University of Siada, Saida, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LGE Genie-Electrotechnics Laboratory, Dr. Tahar Moulay University of Siada, Saida, Algeria","institution_ids":["https://openalex.org/I4210148060"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4633,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57592408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"289"},"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":0.9915000200271606,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8142901659011841},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880796790122986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7423896193504333},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6967781782150269},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6907557249069214},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6182313561439514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6090880632400513},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49824976921081543},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4904446303844452},{"id":"https://openalex.org/keywords/fiducial-marker","display_name":"Fiducial marker","score":0.45001617074012756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34314393997192383}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8142901659011841},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880796790122986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7423896193504333},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6967781782150269},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6907557249069214},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6182313561439514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6090880632400513},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49824976921081543},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4904446303844452},{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.45001617074012756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34314393997192383},{"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":2,"locations":[{"id":"doi:10.1109/metroind4.0iot51437.2021.9488556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroind4.0iot51437.2021.9488556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:112628","is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/112628","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceobject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2011355574","https://openalex.org/W2063923412","https://openalex.org/W2181347294","https://openalex.org/W2521641300","https://openalex.org/W2704923930","https://openalex.org/W2741881058","https://openalex.org/W2779797561","https://openalex.org/W2979525656","https://openalex.org/W3005864656","https://openalex.org/W3006191871","https://openalex.org/W3033523981","https://openalex.org/W3047094082","https://openalex.org/W3083339326","https://openalex.org/W6685777803"],"related_works":["https://openalex.org/W2773120646","https://openalex.org/W2391959412","https://openalex.org/W2036075313","https://openalex.org/W2126100045","https://openalex.org/W1999222583","https://openalex.org/W1602592726","https://openalex.org/W2067275498","https://openalex.org/W3003836766","https://openalex.org/W3186111093","https://openalex.org/W2547981752"],"abstract_inverted_index":{"The":[0,64,105,119],"handcrafted":[1],"features":[2,54],"extraction":[3],"methods":[4],"have":[5,46],"achieved":[6],"remarkable":[7],"results":[8,129],"in":[9],"ECG":[10,66,73,117],"based":[11,74,78],"biometric":[12,75],"identification.":[13],"However,":[14],"they":[15],"are":[16],"sensitive":[17],"to":[18,49,93],"many":[19],"factors:":[20],"(1)":[21],"intra":[22],"and":[23,35,82,123],"inter-individual":[24],"variability,":[25,29],"(2)":[26],"heart":[27],"rate":[28],"(3)":[30],"powerline":[31],"interference,":[32],"baseline":[33],"wander":[34],"muscle":[36],"artifacts.":[37],"To":[38],"deal":[39],"with":[40,100],"these":[41],"issues,":[42],"deep":[43,97],"learning":[44,98],"approaches":[45],"been":[47,112],"proposed":[48,86,109,133],"extract":[50],"automatically":[51],"the":[52,85,108,128,132],"important":[53],"almost":[55],"from":[56,131],"original":[57,65],"data":[58],"without":[59],"any":[60],"preprocessing":[61],"step":[62],"(i.e.,":[63],"signal":[67],"mostly":[68],"contains":[69],"noise).":[70],"Unlike":[71],"conventional":[72],"approaches,":[76],"which":[77],"either":[79],"on":[80,91,114],"fiducial":[81],"non-fiducial":[83],"methods,":[84],"approach":[87,99,110,134],"can":[88],"be":[89],"implemented":[90],"end":[92,94],"system":[95],"using":[96],"a":[101],"blind":[102],"segmentation":[103],"step.":[104],"robustness":[106],"of":[107],"has":[111],"assessed":[113],"some":[115],"well-known":[116],"datasets:":[118],"ECG-ID,":[120],"MITI-BIH,":[121],"CYBHI,":[122],"PTB":[124],"databases.":[125],"In":[126],"addition,":[127],"obtained":[130],"outperform":[135],"other":[136],"state-of":[137],"the-art":[138],"approaches.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}