{"id":"https://openalex.org/W2803807865","doi":"https://doi.org/10.1155/2018/7061456","title":"An Improved FastICA Method for Fetal ECG Extraction","display_name":"An Improved FastICA Method for Fetal ECG Extraction","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2803807865","doi":"https://doi.org/10.1155/2018/7061456","mag":"2803807865","pmid":"https://pubmed.ncbi.nlm.nih.gov/29887913"},"language":"en","primary_location":{"id":"doi:10.1155/2018/7061456","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/7061456","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2018/7061456.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cmmm/2018/7061456.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100618722","display_name":"Li Yuan","orcid":"https://orcid.org/0000-0002-7408-197X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yuan","raw_affiliation_strings":["College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7408-197X","affiliations":[{"raw_affiliation_string":"College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026085823","display_name":"Zhuhuang Zhou","orcid":"https://orcid.org/0000-0003-0570-8473"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuhuang Zhou","raw_affiliation_strings":["College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0570-8473","affiliations":[{"raw_affiliation_string":"College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012705056","display_name":"Yanchao Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Yuan","raw_affiliation_strings":["College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063947852","display_name":"Shuicai Wu","orcid":"https://orcid.org/0000-0002-8027-9499"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuicai Wu","raw_affiliation_strings":["College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8027-9499","affiliations":[{"raw_affiliation_string":"College of Life Science and Bioengineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063947852"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":2.8263,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.91657805,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2018","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":0.5139999985694885,"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":0.5139999985694885,"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":0.43849998712539673,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.006099999882280827,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fastica","display_name":"FastICA","score":0.7514567375183105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5447964072227478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4845239520072937},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.48233553767204285},{"id":"https://openalex.org/keywords/fetal-heart","display_name":"Fetal heart","score":0.472128689289093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3968513607978821},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33487552404403687},{"id":"https://openalex.org/keywords/fetus","display_name":"Fetus","score":0.2951388359069824},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.13974061608314514},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12593472003936768},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.10849952697753906},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08598467707633972},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08453118801116943},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0795438289642334}],"concepts":[{"id":"https://openalex.org/C157709420","wikidata":"https://www.wikidata.org/wiki/Q3739974","display_name":"FastICA","level":4,"score":0.7514567375183105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5447964072227478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4845239520072937},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.48233553767204285},{"id":"https://openalex.org/C3019522753","wikidata":"https://www.wikidata.org/wiki/Q2657962","display_name":"Fetal heart","level":4,"score":0.472128689289093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3968513607978821},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33487552404403687},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.2951388359069824},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.13974061608314514},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12593472003936768},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.10849952697753906},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08598467707633972},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08453118801116943},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0795438289642334},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000005","descriptor_name":"Abdomen","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","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":true},{"descriptor_ui":"D005323","descriptor_name":"Fetal Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005323","descriptor_name":"Fetal Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005323","descriptor_name":"Fetal Monitoring","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1155/2018/7061456","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/7061456","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2018/7061456.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:29887913","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29887913","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:39413b14262b4781871b3e095245ffbe","is_oa":false,"landing_page_url":"https://doaj.org/article/39413b14262b4781871b3e095245ffbe","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2018 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4947595","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC5985131","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:5985131","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5985131","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Math Methods Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2018/7061456","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/7061456","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2018/7061456.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1110555027","display_name":null,"funder_award_id":"71661167001","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G2585208818","display_name":null,"funder_award_id":"71661167001","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3280015309","display_name":null,"funder_award_id":"2017M620566","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3366606128","display_name":null,"funder_award_id":"71781260096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G433137078","display_name":null,"funder_award_id":"2017ZZ-01-03","funder_id":"https://openalex.org/F4320321913","funder_display_name":"Beijing University of Technology"},{"id":"https://openalex.org/G4558136995","display_name":null,"funder_award_id":"71661167001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4669888217","display_name":null,"funder_award_id":"71781260096","funder_id":"https://openalex.org/F4320321913","funder_display_name":"Beijing University of Technology"},{"id":"https://openalex.org/G4674980264","display_name":null,"funder_award_id":"2017ZZ-01-03","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4866868522","display_name":null,"funder_award_id":"71661167001","funder_id":"https://openalex.org/F4320321913","funder_display_name":"Beijing University of Technology"},{"id":"https://openalex.org/G544452447","display_name":null,"funder_award_id":"2017ZZ-01-03","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G6080477584","display_name":null,"funder_award_id":"71781260096","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G6908924839","display_name":null,"funder_award_id":"4184081","funder_id":"https://openalex.org/F4320321913","funder_display_name":"Beijing University of Technology"},{"id":"https://openalex.org/G6961141324","display_name":null,"funder_award_id":"4184081","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G7132565376","display_name":null,"funder_award_id":"2017M620566","funder_id":"https://openalex.org/F4320321913","funder_display_name":"Beijing University of Technology"},{"id":"https://openalex.org/G7362797628","display_name":null,"funder_award_id":"4184081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7771212392","display_name":null,"funder_award_id":"71781260096","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8014416035","display_name":null,"funder_award_id":"2017M620566","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8249216643","display_name":null,"funder_award_id":"2017M620566","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G8610151787","display_name":null,"funder_award_id":"4184081","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8845525361","display_name":null,"funder_award_id":"2017ZZ-01-03","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321913","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2803807865.pdf","grobid_xml":"https://content.openalex.org/works/W2803807865.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1985417651","https://openalex.org/W1992397369","https://openalex.org/W2022327110","https://openalex.org/W2023916470","https://openalex.org/W2041172941","https://openalex.org/W2063989894","https://openalex.org/W2141224535","https://openalex.org/W2162273778","https://openalex.org/W2176999946","https://openalex.org/W2339576539","https://openalex.org/W2395078443","https://openalex.org/W2519663370","https://openalex.org/W2566061873","https://openalex.org/W2586823735","https://openalex.org/W2589516350","https://openalex.org/W2614141523","https://openalex.org/W2615076654"],"related_works":["https://openalex.org/W2375875222","https://openalex.org/W2170395384","https://openalex.org/W2355600395","https://openalex.org/W1485204360","https://openalex.org/W2379345898","https://openalex.org/W2033590025","https://openalex.org/W2358704891","https://openalex.org/W1523023743","https://openalex.org/W2126929146","https://openalex.org/W2347848979"],"abstract_inverted_index":{"Objective":[0],".":[1,55,139,269],"The":[2,84,158,193,215,232,270],"fast":[3],"fixed-point":[4],"algorithm":[5,23,75,87,152,165,203,224,274],"for":[6],"independent":[7],"component":[8,118],"analysis":[9],"(FastICA)":[10],"has":[11],"been":[12],"widely":[13],"used":[14,89,147],"in":[15,119],"fetal":[16,52,135,143],"electrocardiogram":[17],"(ECG)":[18],"extraction.":[19],"However,":[20],"the":[21,27,33,36,57,67,78,92,96,101,107,111,115,125,150,154,164,171,176,190,201,211,222,245,258,277,282,287,294,298,304],"FastICA":[22,46,86,156,213,260,273],"is":[24],"sensitive":[25],"to":[26,40,50,76,90,131,148,173,185,208,230],"initial":[28,79,290],"weight":[29,80,291],"vector,":[30,292],"which":[31],"affects":[32],"convergence":[34,305],"of":[35,110,161,163,200,210,221,244,257,284,289,300],"algorithm.":[37,157,192,214],"In":[38],"order":[39],"solve":[41],"this":[42],"problem,":[43],"an":[44],"improved":[45,85,151,191,202,227,246,272],"method":[47,130,247,261],"was":[48,62,70,88,122,146,166,180,204,225],"proposed":[49,271],"extract":[51],"ECG.":[53,113],"Methods":[54],"First,":[56],"maternal":[58,98,112,116],"abdominal":[59],"mixed":[60],"signal":[61],"centralized":[63],"and":[64,66,105,153,237,251,265,302],"whitened,":[65],"overrelaxation":[68,278],"factor":[69],"incorporated":[71],"into":[72],"Newton\u2019s":[73],"iterative":[74],"process":[77],"vector":[81],"randomly":[82],"generated.":[83],"separate":[91],"source":[93,103],"components,":[94,104],"selected":[95],"best":[97],"ECG":[99,117,136,144],"from":[100,168,182,228],"separated":[102],"detected":[106],"R-wave":[108],"location":[109],"Finally,":[114],"each":[120],"channel":[121],"removed":[123],"by":[124],"singular":[126],"value":[127],"decomposition":[128],"(SVD)":[129],"obtain":[132],"a":[133],"clean":[134],"signal.":[137],"Results":[138],"An":[140],"annotated":[141],"clinical":[142],"database":[145],"evaluate":[149],"conventional":[155,212,223,259],"average":[159,177],"number":[160,299],"iterations":[162],"reduced":[167,181],"35":[169],"before":[170],"improvement":[172],"13.":[174],"Correspondingly,":[175],"running":[178],"time":[179],"1.25":[183],"s":[184,187],"1.04":[186],"when":[188],"using":[189],"signal-to-noise":[194],"ratio":[195],"(SNR)":[196],"based":[197,217,275],"on":[198,218,276],"eigenvalues":[199],"1.55,":[205],"as":[206],"compared":[207],"0.99":[209],"SNR":[216],"cross-correlation":[219],"coefficients":[220],"also":[226],"0.59":[229],"2.02.":[231],"sensitivity,":[233],"positive":[234],"predictive":[235],"accuracy,":[236],"harmonic":[238],"mean":[239],"(<mml:math":[240],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[241],"id=\"M1\"><mml:mi>F</mml:mi><mml:mn":[242],"fontstyle=\"italic\">1</mml:mn></mml:math>)":[243],"were":[248,262],"99.37%,":[249],"99.00%,":[250],"99.19%,":[252],"respectively,":[253],"while":[254,280],"these":[255],"metrics":[256],"99.03%,":[263],"98.53%,":[264],"98.78%,":[266],"respectively.":[267],"Conclusions":[268],"factor,":[279],"maintaining":[281],"rate":[283],"convergence,":[285,296],"relaxes":[286],"requirement":[288],"avoids":[293],"unbalanced":[295],"reduces":[297],"iterations,":[301],"improves":[303],"performance.":[306]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}