{"id":"https://openalex.org/W2137326553","doi":"https://doi.org/10.1109/tbme.2011.2151861","title":"Combination of Canonical Correlation Analysis and Empirical Mode Decomposition Applied to Denoising the Labor Electrohysterogram","display_name":"Combination of Canonical Correlation Analysis and Empirical Mode Decomposition Applied to Denoising the Labor Electrohysterogram","publication_year":2011,"publication_date":"2011-05-10","ids":{"openalex":"https://openalex.org/W2137326553","doi":"https://doi.org/10.1109/tbme.2011.2151861","mag":"2137326553","pmid":"https://pubmed.ncbi.nlm.nih.gov/21558055"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2011.2151861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2011.2151861","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5088812873","display_name":"Mahmoud Hassan","orcid":"https://orcid.org/0000-0003-0307-5086"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Hassan","raw_affiliation_strings":["Compi\u00e8gnes University, Compi\u00e8gne 60200, France. hassan@ru.is","Compiegnes Univ., Compiegne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Compi\u00e8gnes University, Compi\u00e8gne 60200, France. hassan@ru.is","institution_ids":["https://openalex.org/I102516824"]},{"raw_affiliation_string":"Compiegnes Univ., Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059667793","display_name":"Sofiane Boudaoud","orcid":"https://orcid.org/0000-0003-2222-9909"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Boudaoud","raw_affiliation_strings":["University of Technology, Compiegne, France","Univ. of Technol., Compiegne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology, Compiegne, France","institution_ids":["https://openalex.org/I102516824"]},{"raw_affiliation_string":"Univ. of Technol., Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060339628","display_name":"J. Terrien","orcid":"https://orcid.org/0000-0001-7986-6752"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Terrien","raw_affiliation_strings":["Department of Electronics, Compi\u00e8gnes University, Compiegne, France","Dept. of Electron., Compiegne Univ., Compiegne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Compi\u00e8gnes University, Compiegne, France","institution_ids":["https://openalex.org/I102516824"]},{"raw_affiliation_string":"Dept. of Electron., Compiegne Univ., Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077914391","display_name":"Bj\u00f6rn Karlsson","orcid":"https://orcid.org/0000-0002-8435-6463"},"institutions":[{"id":"https://openalex.org/I123185442","display_name":"Reykjav\u00edk University","ror":"https://ror.org/05d2kyx68","country_code":"IS","type":"education","lineage":["https://openalex.org/I123185442"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"B. Karlsson","raw_affiliation_strings":["School of Science and Engineering, Reykjavik University, Reykjavik, Iceland","School of Science and Engineering Reykjavik University Reykjavik Iceland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Engineering, Reykjavik University, Reykjavik, Iceland","institution_ids":["https://openalex.org/I123185442"]},{"raw_affiliation_string":"School of Science and Engineering Reykjavik University Reykjavik Iceland","institution_ids":["https://openalex.org/I123185442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091597267","display_name":"Catherine Marque","orcid":"https://orcid.org/0000-0002-8474-938X"},"institutions":[{"id":"https://openalex.org/I102516824","display_name":"Universit\u00e9 de Technologie de Compi\u00e8gne","ror":"https://ror.org/04y5kwa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I102516824"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Marque","raw_affiliation_strings":["Department of Biological Engineering, Compi\u00e8gnes University, Compiegne, France","Dept. of Biol. Eng., Compiegne Univ., Compiegne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological Engineering, Compi\u00e8gnes University, Compiegne, France","institution_ids":["https://openalex.org/I102516824"]},{"raw_affiliation_string":"Dept. of Biol. Eng., Compiegne Univ., Compiegne, France","institution_ids":["https://openalex.org/I102516824"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4902,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.98013547,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"58","issue":"9","first_page":"2441","last_page":"2447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8966292142868042},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.7855273485183716},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6293537616729736},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.624945342540741},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6166198253631592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5825791954994202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5789750218391418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5360729098320007},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5032281279563904},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5023941993713379},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4637976288795471},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44938603043556213},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4391976296901703},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.43039470911026},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4132775664329529},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.41290855407714844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2953498065471649},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2837228775024414},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.18186065554618835},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.16666972637176514},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1643412709236145},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08361759781837463},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08339086174964905}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8966292142868042},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.7855273485183716},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6293537616729736},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.624945342540741},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6166198253631592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5825791954994202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5789750218391418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5360729098320007},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5032281279563904},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5023941993713379},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4637976288795471},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44938603043556213},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4391976296901703},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.43039470911026},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4132775664329529},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.41290855407714844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2953498065471649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2837228775024414},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.18186065554618835},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.16666972637176514},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1643412709236145},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08361759781837463},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08339086174964905},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","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":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008991","descriptor_name":"Monitoring, Physiologic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","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":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","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":true},{"descriptor_ui":"D014590","descriptor_name":"Uterine Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014590","descriptor_name":"Uterine Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D014590","descriptor_name":"Uterine Contraction","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2011.2151861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2011.2151861","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:21558055","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21558055","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":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:HAL:hal-02431329v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02431329","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Biomedical Engineering, 2011, 58 (9), pp.2441-2447. ⟨10.1109/TBME.2011.2151861⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W50894620","https://openalex.org/W1966862016","https://openalex.org/W2007221293","https://openalex.org/W2013294521","https://openalex.org/W2013367933","https://openalex.org/W2015242484","https://openalex.org/W2065481997","https://openalex.org/W2082830484","https://openalex.org/W2082930519","https://openalex.org/W2086435880","https://openalex.org/W2116871167","https://openalex.org/W2117041729","https://openalex.org/W2120390927","https://openalex.org/W2125957759","https://openalex.org/W2138178674","https://openalex.org/W2156560234"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W2166724900","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W1503525627","https://openalex.org/W2553224454","https://openalex.org/W4242656336"],"abstract_inverted_index":{"The":[0,25,152,172],"electrohysterogram":[1],"(EHG)":[2],"is":[3,106],"often":[4],"corrupted":[5],"by":[6,95,111,148,169],"electronic":[7],"and":[8,18,23,79,122],"electromagnetic":[9],"noise":[10,105],"as":[11,13,167],"well":[12],"movement":[14],"artifacts,":[15],"skeletal":[16],"electromyogram,":[17],"ECGs":[19],"from":[20,108,158],"both":[21],"mother":[22],"fetus.":[24],"interfering":[26],"signals":[27,38,134,142],"are":[28,59],"sporadic":[29],"and/or":[30],"have":[31,144],"spectra":[32,35],"overlapping":[33],"the":[34,37,46,53,92,99,109,131,138,149,159,163,179],"of":[36,39,48,70,102],"interest":[40],"rendering":[41],"classical":[42],"filtering":[43,121],"ineffective.":[44],"In":[45,62],"absence":[47],"efficient":[49],"methods":[50,58,84],"for":[51],"denoising":[52],"monopolar":[54,87],"EHG":[55],"signal,":[56],"bipolar":[57,133,170],"usually":[60],"used.":[61],"this":[63],"paper,":[64],"we":[65],"propose":[66],"a":[67],"novel":[68],"combination":[69],"blind":[71],"source":[72],"separation":[73],"using":[74,96],"canonical":[75],"correlation":[76],"analysis":[77],"(BSS_CCA)":[78],"empirical":[80],"mode":[81],"decomposition":[82],"(EMD)":[83],"to":[85,135],"denoise":[86],"EHG.":[88],"We":[89,126],"first":[90],"extract":[91],"uterine":[93,165],"bursts":[94,110],"BSS_CCA":[97],"then":[98],"biggest":[100],"part":[101],"any":[103],"residual":[104],"removed":[107,156],"EMD.":[112],"Our":[113],"algorithm,":[114],"called":[115],"CCA_EMD,":[116],"was":[117],"compared":[118,128],"with":[119,130],"wavelet":[120],"independent":[123],"component":[124],"analysis.":[125],"also":[127],"CCA_EMD":[129,173],"corresponding":[132],"demonstrate":[136],"that":[137,143],"new":[139,150],"method":[140,154],"gives":[141],"not":[145],"been":[146],"degraded":[147],"method.":[151],"proposed":[153],"successfully":[155],"artifacts":[157],"signal":[160],"without":[161],"altering":[162],"underlying":[164],"activity":[166],"observed":[168],"methods.":[171,181],"algorithm":[174],"performed":[175],"considerably":[176],"better":[177],"than":[178],"comparison":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}