{"id":"https://openalex.org/W4362705033","doi":"https://doi.org/10.26599/bdma.2022.9020035","title":"Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods","display_name":"Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4362705033","doi":"https://doi.org/10.26599/bdma.2022.9020035"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2022.9020035","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020035","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10097649/10097661.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ieeexplore.ieee.org/ielx7/8254253/10097649/10097661.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089944098","display_name":"Said Ziani","orcid":"https://orcid.org/0000-0001-9586-4511"},"institutions":[{"id":"https://openalex.org/I126477371","display_name":"Mohammed V University","ror":"https://ror.org/00r8w8f84","country_code":"MA","type":"education","lineage":["https://openalex.org/I126477371"]},{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Said Ziani","raw_affiliation_strings":["Research Group in Biomedical Engineering and Pharmaceutical Sciences, ENSAM, Mohammed V University,Rabat,Morocco,10090","High School of Technology ESTC, University of Hassan II, Casablanca, Morocco"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group in Biomedical Engineering and Pharmaceutical Sciences, ENSAM, Mohammed V University,Rabat,Morocco,10090","institution_ids":["https://openalex.org/I126477371"]},{"raw_affiliation_string":"High School of Technology ESTC, University of Hassan II, Casablanca, Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028356071","display_name":"Yousef Farhaoui","orcid":"https://orcid.org/0000-0003-0870-6262"},"institutions":[{"id":"https://openalex.org/I4210153608","display_name":"Universit\u00e9 Moulay Ismail de Meknes","ror":"https://ror.org/04cnscd67","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210153608"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Yousef Farhaoui","raw_affiliation_strings":["STI Laboratory, T-IDMS, Faculty of Sciences and Techniques, Moulay Ismail University of Meknes,Errachidia,Morocco,52000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"STI Laboratory, T-IDMS, Faculty of Sciences and Techniques, Moulay Ismail University of Meknes,Errachidia,Morocco,52000","institution_ids":["https://openalex.org/I4210153608"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025124743","display_name":"Mohammed Moutaib","orcid":"https://orcid.org/0000-0002-6376-6746"},"institutions":[{"id":"https://openalex.org/I4210153608","display_name":"Universit\u00e9 Moulay Ismail de Meknes","ror":"https://ror.org/04cnscd67","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210153608"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Moutaib","raw_affiliation_strings":["IMAGE Laboratory, University of Moulay Ismail,Meknes,Morocco,50000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMAGE Laboratory, University of Moulay Ismail,Meknes,Morocco,50000","institution_ids":["https://openalex.org/I4210153608"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.6514,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.97759069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"6","issue":"3","first_page":"301","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9983000159263611,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8232330679893494},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7102581262588501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6845709085464478},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6603156924247742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6135563254356384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5791512727737427},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5288907885551453},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5200114846229553},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4671582281589508},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4366283714771271},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4113695025444031},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3278103470802307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2771339416503906},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08350372314453125}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8232330679893494},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7102581262588501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6845709085464478},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6603156924247742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6135563254356384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5791512727737427},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5288907885551453},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5200114846229553},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4671582281589508},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4366283714771271},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4113695025444031},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3278103470802307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2771339416503906},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08350372314453125},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2022.9020035","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020035","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10097649/10097661.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4d9db15e4968489f808cf92c27a8ccc4","is_oa":true,"landing_page_url":"https://doaj.org/article/4d9db15e4968489f808cf92c27a8ccc4","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":"Big Data Mining and Analytics, Vol 6, Iss 3, Pp 301-310 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2022.9020035","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2022.9020035","pdf_url":"https://ieeexplore.ieee.org/ielx7/8254253/10097649/10097661.pdf","source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6800000071525574,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362705033.pdf","grobid_xml":"https://content.openalex.org/works/W4362705033.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1976564561","https://openalex.org/W2008278102","https://openalex.org/W2043532615","https://openalex.org/W2096497254","https://openalex.org/W2108125949","https://openalex.org/W2128911505","https://openalex.org/W2143132653","https://openalex.org/W2144359569","https://openalex.org/W2160900876","https://openalex.org/W2162378639","https://openalex.org/W2164053975","https://openalex.org/W2783962829","https://openalex.org/W2802945731","https://openalex.org/W2806531081","https://openalex.org/W2886143123","https://openalex.org/W2904022125","https://openalex.org/W2911495371","https://openalex.org/W2917183655","https://openalex.org/W2947383520","https://openalex.org/W2948263186","https://openalex.org/W2957784053","https://openalex.org/W2964296502","https://openalex.org/W2967755079","https://openalex.org/W3045657369","https://openalex.org/W3047624172","https://openalex.org/W3102975051","https://openalex.org/W3119143119","https://openalex.org/W3132191748","https://openalex.org/W3134751001","https://openalex.org/W3200526976","https://openalex.org/W3200597478","https://openalex.org/W3217623145","https://openalex.org/W4205430056","https://openalex.org/W4213309753","https://openalex.org/W4213449432","https://openalex.org/W4226116653","https://openalex.org/W4226364678","https://openalex.org/W4231297303","https://openalex.org/W4281489694","https://openalex.org/W4285065952","https://openalex.org/W4285101051","https://openalex.org/W4292387374","https://openalex.org/W4310090191","https://openalex.org/W6635146873"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W4294224199","https://openalex.org/W2951579230","https://openalex.org/W2613627778"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,23],"detecting":[4],"fetal":[5,67,82],"electrocardiogram":[6],"FECG":[7,96],"signals":[8],"from":[9],"single-channel":[10],"abdominal":[11],"lead.":[12],"It":[13],"is":[14,102],"based":[15],"on":[16],"the":[17,48,53,59,61,66,78,89,94,105,111],"Convolutional":[18],"Neural":[19],"Network":[20],"(CNN)":[21],"combined":[22],"advanced":[24],"mathematical":[25],"methods,":[26],"such":[27],"as":[28,86],"Independent":[29],"Component":[30],"Analysis":[31],"(ICA),":[32],"Singular":[33],"Value":[34],"Decomposition":[35],"(SVD),":[36],"and":[37],"a":[38],"dimension-reduction":[39],"technique":[40],"like":[41],"Nonnegative":[42],"Matrix":[43],"Factorization":[44],"(NMF).":[45],"Due":[46],"to":[47,58,88,92],"highly":[49],"disproportionate":[50],"frequency":[51],"of":[52,72,81,113],"fetus's":[54],"heart":[55],"rate":[56],"compared":[57],"mother's,":[60],"time-scale":[62],"representation":[63],"clearly":[64],"distinguishes":[65],"electrical":[68],"activity":[69],"in":[70,121],"terms":[71],"energy.":[73],"Furthermore,":[74],"we":[75],"can":[76],"disentangle":[77],"various":[79],"components":[80],"ECG,":[83],"which":[84,101,117],"serve":[85],"inputs":[87],"CNN":[90],"model":[91],"optimize":[93],"actual":[95],"signal,":[97],"denoted":[98],"by":[99],"FECGr,":[100],"recovered":[103],"using":[104],"SVD-ICA":[106],"process.":[107],"The":[108],"findings":[109],"demonstrate":[110],"efficiency":[112],"this":[114],"innovative":[115],"approach,":[116],"may":[118],"be":[119],"deployed":[120],"real-time.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}