{"id":"https://openalex.org/W2093451445","doi":"https://doi.org/10.1109/btas.2010.5634493","title":"HeartID: Cardiac biometric recognition","display_name":"HeartID: Cardiac biometric recognition","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2093451445","doi":"https://doi.org/10.1109/btas.2010.5634493","mag":"2093451445"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2010.5634493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","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/A5075282189","display_name":"Seyedeh Zahra Fatemian","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"S. Zahra Fatemian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 Kings College Road, Toronto, ON, Canada, M5S 3G4"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 Kings College Road, Toronto, ON, Canada, M5S 3G4","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013249721","display_name":"Foteini Agrafioti","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Foteini Agrafioti","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 Kings College Road, Toronto, ON, Canada, M5S 3G4"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 Kings College Road, Toronto, ON, Canada, M5S 3G4","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041117623","display_name":"Dimitrios Hatzinakos","orcid":"https://orcid.org/0000-0003-3345-9232"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dimitrios Hatzinakos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 Kings College Road, Toronto, ON, Canada, M5S 3G4"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Edward S. Rogers Department of Electrical and Computer Engineering, University of Toronto, 10 Kings College Road, Toronto, ON, Canada, M5S 3G4","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075282189"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":1.3326,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.82853312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"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":0.9998999834060669,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8498727679252625},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6884880065917969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484891772270203},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6398913860321045},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6095213890075684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5761940479278564},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5556895136833191},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5044060945510864},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4784781336784363},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.460050106048584},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45774194598197937},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.45070454478263855},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4319222867488861},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1228463351726532},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07758477330207825}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8498727679252625},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6884880065917969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484891772270203},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6398913860321045},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6095213890075684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5761940479278564},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5556895136833191},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5044060945510864},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4784781336784363},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.460050106048584},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45774194598197937},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.45070454478263855},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4319222867488861},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1228463351726532},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07758477330207825},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/btas.2010.5634493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1883664232","https://openalex.org/W1974256708","https://openalex.org/W1995185527","https://openalex.org/W2006873322","https://openalex.org/W2016540564","https://openalex.org/W2047970678","https://openalex.org/W2056500480","https://openalex.org/W2063358975","https://openalex.org/W2071990626","https://openalex.org/W2089683591","https://openalex.org/W2114542697","https://openalex.org/W2122235704","https://openalex.org/W2127510558","https://openalex.org/W2136052425","https://openalex.org/W2163430278","https://openalex.org/W2164053975","https://openalex.org/W2168028135","https://openalex.org/W2170941890","https://openalex.org/W2535940264","https://openalex.org/W4300709618","https://openalex.org/W6729045397"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2541950815","https://openalex.org/W2970216048","https://openalex.org/W2285052147","https://openalex.org/W2806866760","https://openalex.org/W2185970706","https://openalex.org/W2546942002"],"abstract_inverted_index":{"This":[0],"letter":[1],"examines":[2],"the":[3,17,21,39,66,100],"applicability":[4],"of":[5,42,58,68,99],"cardiac":[6,59],"signals":[7,13],"for":[8,50],"biometric":[9],"recognition.":[10],"Two":[11],"physiological":[12],"are":[14,48],"considered,":[15],"namely":[16],"Electrocardiogram":[18],"(ECG)":[19],"and":[20,44,85],"Phono-cardiogram":[22],"(PCG)":[23],"as":[24],"it":[25],"has":[26],"been":[27],"shown":[28],"they":[29],"bare":[30],"adequate":[31],"discriminative":[32],"information":[33],"in":[34,65],"a":[35,55,75],"population.":[36],"Due":[37],"to":[38,63,81,94],"idiosyncratic":[40],"properties":[41],"ECG":[43],"PCG,":[45],"individual":[46],"algorithms":[47],"developed":[49],"feature":[51],"extraction.":[52],"Time":[53],"dependency,":[54],"major":[56],"challenge":[57],"biometrics,":[60],"is":[61,79,92,109],"taken":[62],"consideration":[64],"design":[67],"robust":[69],"gallery":[70],"templates.":[71],"To":[72],"that":[73],"end,":[74],"wavelet":[76],"based":[77],"analysis":[78],"introduced":[80],"handle":[82],"noise":[83],"artifacts":[84],"heart":[86],"rate":[87],"variability.":[88],"A":[89],"bi-modal":[90],"configuration":[91],"presented,":[93],"perform":[95],"decision":[96],"level":[97],"fusion":[98],"information.":[101],"The":[102],"recognition":[103],"performance,":[104],"tested":[105],"over":[106],"21":[107],"subjects,":[108],"very":[110],"promising.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
