{"id":"https://openalex.org/W2153720603","doi":"https://doi.org/10.1109/ijcnn.2010.5596951","title":"Atrial activity estimation using periodic component analysis","display_name":"Atrial activity estimation using periodic component analysis","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2153720603","doi":"https://doi.org/10.1109/ijcnn.2010.5596951","mag":"2153720603"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5020158984","display_name":"Ra\u00fal Llinares","orcid":null},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Raul Llinares","raw_affiliation_strings":["Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039398029","display_name":"Jorge Igual","orcid":"https://orcid.org/0000-0003-3408-4014"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Igual","raw_affiliation_strings":["Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074800513","display_name":"Julio Mir\u00f3-Borr\u00e1s","orcid":null},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Julio Miro-Borras","raw_affiliation_strings":["Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068632043","display_name":"Andr\u00e9s Camacho","orcid":"https://orcid.org/0000-0001-8542-4264"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andres Camacho","raw_affiliation_strings":["Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Comunicaciones, Universidad Politecnica de Valencia, Valencia, Spain","institution_ids":["https://openalex.org/I60053951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020158984"],"corresponding_institution_ids":["https://openalex.org/I60053951"],"apc_list":null,"apc_paid":null,"fwci":0.3372,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61129482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9955999851226807,"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":0.9746000170707703,"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/discriminative-model","display_name":"Discriminative model","score":0.7551554441452026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6005507707595825},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.5914223194122314},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5660433769226074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5174384713172913},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5147619247436523},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.47067221999168396},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.45928502082824707},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.45332756638526917},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.43469423055648804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43204325437545776},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30059200525283813},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12272399663925171},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.11931660771369934},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09586936235427856},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.0701146125793457}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7551554441452026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6005507707595825},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.5914223194122314},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5660433769226074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5174384713172913},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5147619247436523},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.47067221999168396},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.45928502082824707},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.45332756638526917},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.43469423055648804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43204325437545776},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30059200525283813},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12272399663925171},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.11931660771369934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09586936235427856},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0701146125793457},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1976328127","https://openalex.org/W1976711296","https://openalex.org/W1993723007","https://openalex.org/W2007265560","https://openalex.org/W2011181705","https://openalex.org/W2019502123","https://openalex.org/W2060841225","https://openalex.org/W2066998543","https://openalex.org/W2073159129","https://openalex.org/W2097192307","https://openalex.org/W2098415734","https://openalex.org/W2105760329","https://openalex.org/W2113260616","https://openalex.org/W2118117461","https://openalex.org/W2119270840","https://openalex.org/W2119905314","https://openalex.org/W2121724000","https://openalex.org/W2124033264","https://openalex.org/W2127648318","https://openalex.org/W2135481255","https://openalex.org/W2148311647","https://openalex.org/W2148534488","https://openalex.org/W2149092351","https://openalex.org/W2160584460","https://openalex.org/W2168454921","https://openalex.org/W3209835299"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2046761971","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460","https://openalex.org/W1785857632"],"abstract_inverted_index":{"The":[0,113,133,175],"interest":[1],"in":[2,14,82,90,128],"the":[3,15,22,54,58,68,87,91,97,101,104,110,129,138,143,146,154,156,167],"study":[4],"and":[5,60,135,145,172],"analysis":[6],"of":[7,21,40,57,70,100,103,137,148,169],"Atrial":[8],"Fibrillation":[9],"(AF)":[10],"has":[11],"increased":[12],"significantly":[13],"last":[16],"decades.":[17],"A":[18],"correct":[19],"estimation":[20],"atrial":[23,105,114,126,157],"activity":[24],"is":[25,140,152,159,161,177],"a":[26,63,74,79,120,124],"crucial":[27],"previous":[28],"step":[29,65],"for":[30],"AF":[31],"analysis.":[32],"Different":[33],"methods":[34],"based":[35,51,162],"on":[36,53,96,163],"Blind":[37],"Source":[38],"Separation":[39],"12-lead":[41],"electrocardiogram":[42],"(ECG)":[43],"have":[44],"been":[45],"proposed.":[46],"However,":[47],"these":[48],"techniques":[49],"are":[50],"only":[52],"statistical":[55],"independence":[56],"sources,":[59],"usually":[61],"require":[62],"postprocessing":[64],"to":[66,84,109,142,180],"identify":[67],"signal":[69,106,122],"interest.":[71],"We":[72],"present":[73],"method":[75,176],"that":[76,153],"also":[77],"uses":[78],"multilead":[80],"approach":[81],"order":[83],"use":[85],"all":[86],"information":[88],"available":[89],"leads,":[92],"but":[93],"it":[94],"focuses":[95],"discriminative":[98],"properties":[99],"spectrum":[102,139],"with":[107,123],"respect":[108],"non-atrial":[111],"components.":[112],"rhythm":[115],"can":[116],"be":[117],"considered":[118],"as":[119],"pseudo-periodic":[121],"main":[125],"frequency":[127],"range":[130],"3-10":[131],"Hz.":[132],"bandwidth":[134],"shape":[136],"related":[141],"patient":[144],"kind":[147],"tachyrhythmia.":[149],"Another":[150],"advantage":[151],"way":[155],"component":[158],"extracted":[160],"algebraic":[164],"methods,":[165],"avoiding":[166],"adjustment":[168],"learning":[170],"rates":[171],"other":[173],"parameters.":[174],"applied":[178],"successfully":[179],"real":[181],"data.":[182]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
