{"id":"https://openalex.org/W2901289372","doi":"https://doi.org/10.3390/s18114024","title":"An EigenECG Network Approach Based on PCANet for Personal Identification from ECG Signal","display_name":"An EigenECG Network Approach Based on PCANet for Personal Identification from ECG Signal","publication_year":2018,"publication_date":"2018-11-18","ids":{"openalex":"https://openalex.org/W2901289372","doi":"https://doi.org/10.3390/s18114024","mag":"2901289372","pmid":"https://pubmed.ncbi.nlm.nih.gov/30453697"},"language":"en","primary_location":{"id":"doi:10.3390/s18114024","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18114024","pdf_url":"https://www.mdpi.com/1424-8220/18/11/4024/pdf?version=1548066516","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/18/11/4024/pdf?version=1548066516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000867518","display_name":"Jae-Neung Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Neung Lee","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007040634","display_name":"Yeong-Hyeon Byeon","orcid":"https://orcid.org/0000-0002-7480-4971"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeong-Hyeon Byeon","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072004665","display_name":"Sungbum Pan","orcid":"https://orcid.org/0000-0002-0960-5706"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Bum Pan","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0960-5706","affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080268629","display_name":"Keun-Chang Kwak","orcid":"https://orcid.org/0000-0002-3821-0711"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Keun-Chang Kwak","raw_affiliation_strings":["Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea"],"raw_orcid":"https://orcid.org/0000-0002-3821-0711","affiliations":[{"raw_affiliation_string":"Department of Control and Instrumentation Engineering, Chosun University, Gwangju 501759, Korea","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080268629"],"corresponding_institution_ids":["https://openalex.org/I152238500"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.8762,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.8744279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"11","first_page":"4024","last_page":"4024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9966999888420105,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9807999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7144955396652222},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.6836979985237122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6656438112258911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6571575403213501},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6142249703407288},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.57408607006073},{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.47043487429618835},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4370870590209961},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.4220821261405945},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25609254837036133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22175249457359314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11870238184928894}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7144955396652222},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.6836979985237122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6656438112258911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571575403213501},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6142249703407288},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.57408607006073},{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.47043487429618835},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4370870590209961},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4220821261405945},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25609254837036133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22175249457359314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11870238184928894},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011996","descriptor_name":"Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s18114024","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18114024","pdf_url":"https://www.mdpi.com/1424-8220/18/11/4024/pdf?version=1548066516","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:30453697","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30453697","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8a2a6e891e854d779047bb2ac1c3b480","is_oa":true,"landing_page_url":"https://doaj.org/article/8a2a6e891e854d779047bb2ac1c3b480","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 18, Iss 11, p 4024 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5257892","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6263947","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/18/11/4024/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s18114024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6263947","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6263947","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18114024","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18114024","pdf_url":"https://www.mdpi.com/1424-8220/18/11/4024/pdf?version=1548066516","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G125271649","display_name":null,"funder_award_id":"2017R1A6A1A03015496","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3126368012","display_name":null,"funder_award_id":"No. 2017R1A6A1A03015496","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3802296923","display_name":null,"funder_award_id":"2017R1A6A1A03015496","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G3976801481","display_name":null,"funder_award_id":"20174030201620","funder_id":"https://openalex.org/F4320335199","funder_display_name":"Korea Institute of Energy Technology Evaluation and Planning"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321681","display_name":"Ministry of Trade, Industry and Energy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320335199","display_name":"Korea Institute of Energy Technology Evaluation and Planning","ror":"https://ror.org/02zq38y32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901289372.pdf","grobid_xml":"https://content.openalex.org/works/W2901289372.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W779288015","https://openalex.org/W1559535184","https://openalex.org/W1616262590","https://openalex.org/W1964029730","https://openalex.org/W1968576535","https://openalex.org/W1968983915","https://openalex.org/W1974316912","https://openalex.org/W1994343408","https://openalex.org/W2006061627","https://openalex.org/W2013966076","https://openalex.org/W2036309320","https://openalex.org/W2038089898","https://openalex.org/W2061669177","https://openalex.org/W2063923412","https://openalex.org/W2071608974","https://openalex.org/W2074023005","https://openalex.org/W2083192087","https://openalex.org/W2098508968","https://openalex.org/W2101618562","https://openalex.org/W2118585731","https://openalex.org/W2137409440","https://openalex.org/W2146950261","https://openalex.org/W2211945929","https://openalex.org/W2268339064","https://openalex.org/W2521641300","https://openalex.org/W2570903723","https://openalex.org/W2599124244","https://openalex.org/W2739207898","https://openalex.org/W2771917996","https://openalex.org/W2781944693","https://openalex.org/W2784872388","https://openalex.org/W2792876679","https://openalex.org/W2794026829","https://openalex.org/W2804426336","https://openalex.org/W2811457108","https://openalex.org/W2963704021","https://openalex.org/W3102431071","https://openalex.org/W6677656871","https://openalex.org/W6681695461","https://openalex.org/W6734321882"],"related_works":["https://openalex.org/W4214581441","https://openalex.org/W2053762217","https://openalex.org/W2494432015","https://openalex.org/W2114479223","https://openalex.org/W2134572333","https://openalex.org/W2531028440","https://openalex.org/W2150501849","https://openalex.org/W1968240874","https://openalex.org/W2080835026","https://openalex.org/W2779694590"],"abstract_inverted_index":{"We":[0,145],"herein":[1],"propose":[2],"an":[3,153],"EigenECG":[4],"Network":[5],"(EECGNet)":[6],"based":[7],"on":[8],"the":[9,16,33,50,67,70,82,85,94,97,101,111,115,118,134,142,162,176,182],"principal":[10],"component":[11],"analysis":[12],"network":[13],"(PCANet)":[14],"for":[15],"personal":[17],"identification":[18],"of":[19,29,136,181],"electrocardiogram":[20],"(ECG)":[21],"from":[22,84,141,152],"human":[23],"biosignal":[24],"data.":[25],"The":[26,45,89,171],"EECGNet":[27,130],"consists":[28],"three":[30],"stages.":[31],"In":[32,114],"first":[34,98],"stage,":[35,99,117],"ECG":[36,52,57,154,169],"signals":[37,53,58],"are":[38,54,59,107,126],"preprocessed":[39,51],"by":[40,157],"normalization":[41],"and":[42,77,104,123,179,198],"spike":[43],"removal.":[44],"R":[46],"peak":[47],"points":[48],"in":[49,110],"detected.":[55],"Subsequently,":[56],"transformed":[60,86],"into":[61],"two-dimensional":[62,87],"images":[63],"to":[64,69,81,138],"use":[65,135],"as":[66,96,190],"input":[68],"EECGNet.":[71],"Further,":[72,159],"we":[73,160],"perform":[74],"patch-mean":[75],"removal":[76,103],"PCA":[78,105],"algorithm":[79],"similar":[80],"PCANet":[83],"images.":[88],"second":[90],"stage":[91],"is":[92],"almost":[93],"same":[95],"where":[100],"mean":[102],"process":[106],"repeatedly":[108],"performed":[109],"cascaded":[112],"network.":[113],"final":[116],"binary":[119],"quantization,":[120],"block":[121],"sliding,":[122],"histogram":[124],"computation":[125],"performed.":[127],"Thus,":[128],"this":[129],"performs":[131],"well":[132],"without":[133],"back-propagation":[137],"obtain":[139],"features":[140],"visual":[143],"content.":[144],"constructed":[146],"a":[147],"Chosun":[148],"University":[149],"(CU)-ECG":[150],"database":[151],"sensor":[155],"implemented":[156],"ourselves.":[158],"used":[161],"well-known":[163],"MIT":[164],"Beth":[165],"Israel":[166],"Hospital":[167],"(BIH)":[168],"database.":[170],"experimental":[172],"results":[173],"clearly":[174],"reveal":[175],"good":[177],"performance":[178],"effectiveness":[180],"proposed":[183],"method":[184],"compared":[185],"with":[186],"conventional":[187],"algorithms":[188],"such":[189],"PCA,":[191],"auto-encoder":[192],"(AE),":[193],"extreme":[194,200],"learning":[195,201],"machine":[196,202],"(ELM),":[197],"ensemble":[199],"(EELM).":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}