{"id":"https://openalex.org/W2088121053","doi":"https://doi.org/10.1109/cip.2012.6232909","title":"Fundamental frequency estimation in atrial fibrillation signals using correntropy and Fourier Organization Analysis","display_name":"Fundamental frequency estimation in atrial fibrillation signals using correntropy and Fourier Organization Analysis","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2088121053","doi":"https://doi.org/10.1109/cip.2012.6232909","mag":"2088121053"},"language":"en","primary_location":{"id":"doi:10.1109/cip.2012.6232909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cip.2012.6232909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 3rd International Workshop on Cognitive Information Processing (CIP)","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/A5014300364","display_name":"\u00d3scar Barquero\u2010P\u00e9rez","orcid":"https://orcid.org/0000-0002-7235-3986"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"O Barquero-Perez","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Rey Juan Carlos, Spain","Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Rey Juan Carlos, Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052426139","display_name":"Leif S\u00f6rnmo","orcid":"https://orcid.org/0000-0001-8524-2292"},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"L Sornmo","raw_affiliation_strings":["ETH, University of Lund, Sweden","ETH, University of Lund (Sweden)"],"affiliations":[{"raw_affiliation_string":"ETH, University of Lund, Sweden","institution_ids":["https://openalex.org/I187531555"]},{"raw_affiliation_string":"ETH, University of Lund (Sweden)","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050863385","display_name":"Rebeca Goya\u2013Esteban","orcid":"https://orcid.org/0000-0002-0402-8487"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"R Goya-Esteban","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Rey Juan Carlos, Spain","Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Rey Juan Carlos, Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091890497","display_name":"Inmaculada Mora-Jim\u00e9nez","orcid":"https://orcid.org/0000-0003-0735-367X"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"I Mora-Jimenez","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Rey Juan Carlos, Spain","Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Rey Juan Carlos, Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018774074","display_name":"Arcadi Garc\u0131\u0301a-Alberola","orcid":"https://orcid.org/0000-0003-1928-865X"},"institutions":[{"id":"https://openalex.org/I4210150677","display_name":"Hospital Universitario Virgen de la Arrixaca","ror":"https://ror.org/058thx797","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210150677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A Garcia-Alberola","raw_affiliation_strings":["Arrhythmia Unit, Hospital Virgen de la Arrixaca of Murcia, Spain","Arrhythmia Unit, Hospital Virgen de la Arrixaca of Murcia (Spain)"],"affiliations":[{"raw_affiliation_string":"Arrhythmia Unit, Hospital Virgen de la Arrixaca of Murcia, Spain","institution_ids":["https://openalex.org/I4210150677"]},{"raw_affiliation_string":"Arrhythmia Unit, Hospital Virgen de la Arrixaca of Murcia (Spain)","institution_ids":["https://openalex.org/I4210150677"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051286582","display_name":"Jos\u00e9 Luis Rojo\u2010\u00c1lvarez","orcid":"https://orcid.org/0000-0003-0426-8912"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J L Rojo-Alvarez","raw_affiliation_strings":["Department of Signal Theory and Communications, University of Rey Juan Carlos, Madrid, Spain","Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)"],"affiliations":[{"raw_affiliation_string":"Department of Signal Theory and Communications, University of Rey Juan Carlos, Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Department of Signal Theory and Communications, University Rey Juan Carlos (Spain)","institution_ids":["https://openalex.org/I182083151"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014300364"],"corresponding_institution_ids":["https://openalex.org/I182083151"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16456673,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9988999962806702,"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":0.9944999814033508,"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/frequency-domain","display_name":"Frequency domain","score":0.681226372718811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6377682685852051},{"id":"https://openalex.org/keywords/harmonic-analysis","display_name":"Harmonic analysis","score":0.6024524569511414},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5630968809127808},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.558899998664856},{"id":"https://openalex.org/keywords/fundamental-frequency","display_name":"Fundamental frequency","score":0.5219159126281738},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.49189329147338867},{"id":"https://openalex.org/keywords/frequency-analysis","display_name":"Frequency analysis","score":0.4533088803291321},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.4322468638420105},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.4279326796531677},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42372000217437744},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41483819484710693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40026164054870605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3642648458480835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3506821393966675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22401735186576843},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.20557686686515808},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14804419875144958},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11835861206054688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10578542947769165},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09846213459968567}],"concepts":[{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.681226372718811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377682685852051},{"id":"https://openalex.org/C131770355","wikidata":"https://www.wikidata.org/wiki/Q876215","display_name":"Harmonic analysis","level":2,"score":0.6024524569511414},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5630968809127808},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.558899998664856},{"id":"https://openalex.org/C10513763","wikidata":"https://www.wikidata.org/wiki/Q1331774","display_name":"Fundamental frequency","level":2,"score":0.5219159126281738},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.49189329147338867},{"id":"https://openalex.org/C97118885","wikidata":"https://www.wikidata.org/wiki/Q565636","display_name":"Frequency analysis","level":2,"score":0.4533088803291321},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.4322468638420105},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.4279326796531677},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42372000217437744},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41483819484710693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40026164054870605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3642648458480835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3506821393966675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22401735186576843},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.20557686686515808},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14804419875144958},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11835861206054688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10578542947769165},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09846213459968567},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cip.2012.6232909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cip.2012.6232909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 3rd International Workshop on Cognitive Information Processing (CIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1493851469","https://openalex.org/W1567012231","https://openalex.org/W1967259319","https://openalex.org/W2003708824","https://openalex.org/W2056750873","https://openalex.org/W2073450915","https://openalex.org/W2083327825","https://openalex.org/W2098473875","https://openalex.org/W2100647724","https://openalex.org/W2116239137","https://openalex.org/W2121982138","https://openalex.org/W2122389602","https://openalex.org/W2134877852","https://openalex.org/W2135160607","https://openalex.org/W2138419397","https://openalex.org/W2157313735","https://openalex.org/W2166329520","https://openalex.org/W2166966593","https://openalex.org/W2167997886","https://openalex.org/W4247847577"],"related_works":["https://openalex.org/W2025656090","https://openalex.org/W262431325","https://openalex.org/W2390651447","https://openalex.org/W4366087369","https://openalex.org/W2390244057","https://openalex.org/W4379116366","https://openalex.org/W2368338466","https://openalex.org/W2188423440","https://openalex.org/W2166368937","https://openalex.org/W3013429970"],"abstract_inverted_index":{"Advanced":[0],"analysis":[1],"of":[2,68,86,96,138,141,164,184,197],"atrial":[3,70],"fibrillation":[4,71],"(AF)":[5],"intra":[6],"-":[7],"cardiac":[8,32],"electrograms":[9],"aims":[10],"to":[11,30,75,80,91,102,117,123,193,202],"establish":[12],"clinical":[13],"targets":[14],"for":[15,154],"ablation.":[16],"Frequency":[17,23],"domain":[18],"approaches,":[19],"such":[20,50],"as":[21,38,51],"Dominant":[22],"Analysis":[24,111],"(DFA),":[25],"estimate":[26,81,124],"the":[27,48,52,56,77,82,93,104,136,139,195],"dominant":[28,87],"frequency":[29,129],"identify":[31],"sites":[33],"with":[34,108,171,179,188,210],"high":[35],"activation":[36,94],"rates":[37],"ablation":[39],"targets.":[40],"However,":[41],"they":[42],"often":[43],"discard":[44],"relevant":[45],"information":[46],"in":[47,89,121,130,158],"spectrum,":[49],"harmonic":[53],"structure":[54],"or":[55],"spectral":[57],"envelope.":[58],"Moreover,":[59],"these":[60],"methods":[61],"do":[62],"not":[63,191],"provide":[64],"a":[65,113,159],"complete":[66],"characterization":[67],"complex":[69,131,180,205],"signals.":[72,98,181],"We":[73,99],"propose":[74,101],"use":[76,103],"correntropy":[78,105],"function":[79],"fundamental":[83,128,185],"frequency,":[84,88,186],"instead":[85],"order":[90,122],"quantify":[92],"rate":[95],"AF":[97,152,165,198],"also":[100,201],"method":[106,114],"combined":[107,187],"Fourier":[109],"Organization":[110],"(FOA),":[112],"previously":[115],"proposed":[116,145],"model":[118],"fibril-latory":[119],"signals,":[120,175,199],"more":[125,204,211],"than":[126,212],"one":[127,170,178,213],"signals":[132,153,167,206],"which":[133],"can":[134],"be":[135],"result":[137],"interaction":[140],"multiple":[142],"wavefronts.":[143],"The":[144],"approach":[146],"was":[147],"benchmarked":[148],"by":[149,207],"using":[150],"pseudo-real":[151],"assessing":[155],"their":[156],"performance":[157],"controlled":[160],"environment.":[161],"Two":[162],"datasets":[163],"real":[166],"were":[168],"assembled,":[169],"regular":[172],"and":[173,176],"simple":[174],"another":[177],"Correntropy":[182],"estimation":[183],"FOA,":[189],"allowed":[190],"only":[192],"characterize":[194],"periodicity":[196],"but":[200],"study":[203],"modelling":[208],"them":[209],"component.":[214]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}