{"id":"https://openalex.org/W2288496908","doi":"https://doi.org/10.1109/apsipa.2015.7415385","title":"A hybrid nonlinear adaptive noise canceller for fetal ECG extraction","display_name":"A hybrid nonlinear adaptive noise canceller for fetal ECG extraction","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2288496908","doi":"https://doi.org/10.1109/apsipa.2015.7415385","mag":"2288496908"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2015.7415385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021343097","display_name":"Yaping Ma","orcid":"https://orcid.org/0000-0003-1549-6355"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Ma","raw_affiliation_strings":["Dept. of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101809893","display_name":"Yegui Xiao","orcid":"https://orcid.org/0000-0002-9548-1518"},"institutions":[{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yegui Xiao","raw_affiliation_strings":["Dept. of Management and Information Systems Prefectural, University of Hiroshima, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Management and Information Systems Prefectural, University of Hiroshima, Hiroshima, Japan","institution_ids":["https://openalex.org/I122146667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039606552","display_name":"Guo Wei","orcid":"https://orcid.org/0000-0003-2923-7522"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Wei","raw_affiliation_strings":["Dept. of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100850295","display_name":"Jinwei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwei Sun","raw_affiliation_strings":["Dept. of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Automatic Testing and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038718506","display_name":"Hongyun Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I70999451","display_name":"Akita International University","ror":"https://ror.org/05qz4zw08","country_code":"JP","type":"education","lineage":["https://openalex.org/I70999451"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hongyun Wei","raw_affiliation_strings":["Akita International University, Akita, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Akita International University, Akita, Japan","institution_ids":["https://openalex.org/I70999451"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7218,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84085791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"811","last_page":"814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/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":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7198960185050964},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5729925036430359},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5482276082038879},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5369513034820557},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5272126197814941},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5049408078193665},{"id":"https://openalex.org/keywords/nonlinear-distortion","display_name":"Nonlinear distortion","score":0.4820719361305237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46026092767715454},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4491257667541504},{"id":"https://openalex.org/keywords/active-noise-control","display_name":"Active noise control","score":0.4472370147705078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41791653633117676},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3689473271369934},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3017653822898865},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2367982566356659},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.142109215259552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11735528707504272},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.06415769457817078},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.05514970421791077}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198960185050964},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5729925036430359},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5482276082038879},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5369513034820557},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5272126197814941},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5049408078193665},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.4820719361305237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46026092767715454},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4491257667541504},{"id":"https://openalex.org/C100342000","wikidata":"https://www.wikidata.org/wiki/Q583234","display_name":"Active noise control","level":3,"score":0.4472370147705078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41791653633117676},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3689473271369934},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3017653822898865},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2367982566356659},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.142109215259552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11735528707504272},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.06415769457817078},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05514970421791077},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2015.7415385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2015.7415385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1974260473","https://openalex.org/W1993436033","https://openalex.org/W2010755794","https://openalex.org/W2023474564","https://openalex.org/W2065506507","https://openalex.org/W2110075977","https://openalex.org/W2135852297","https://openalex.org/W2144614016","https://openalex.org/W2162800060","https://openalex.org/W2167394946","https://openalex.org/W2466299320","https://openalex.org/W6681635645"],"related_works":["https://openalex.org/W634309863","https://openalex.org/W2902195311","https://openalex.org/W2163053524","https://openalex.org/W167975066","https://openalex.org/W2133133185","https://openalex.org/W2368527995","https://openalex.org/W2146337469","https://openalex.org/W2737660330","https://openalex.org/W4210609511","https://openalex.org/W2386284704"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,29],"hybrid":[4],"nonlinear":[5],"adaptive":[6],"noise":[7],"canceller":[8],"(ANC)":[9],"with":[10,82],"single-or":[11],"multi-reference":[12],"channels":[13],"is":[14],"proposed":[15,78],"to":[16,44,71],"perform":[17],"the":[18,46,51,60,73,77],"task":[19],"of":[20,76],"extracting":[21],"fetal":[22],"electrocardiogram":[23],"(FECG).":[24],"A":[25],"Volterra":[26,91],"filter":[27],"and":[28,48,55,93],"functional":[30],"link":[31],"artificial":[32],"neural":[33],"network":[34],"(FLANN)":[35],"are":[36,69],"equipped":[37],"in":[38,40],"parallel":[39],"each":[41],"reference":[42],"channel":[43],"approximate":[45],"linearity":[47],"nonlinearity":[49],"between":[50],"maternal":[52],"ECG":[53,62,67],"(MECG)":[54],"its":[56],"distorted":[57],"version":[58],"within":[59],"abdominal":[61],"(AECG).":[63],"Two":[64],"(2)":[65],"real":[66],"datasets":[68],"utilized":[70],"demonstrate":[72],"improved":[74],"effectiveness":[75],"ANC":[79],"as":[80],"compared":[81],"other":[83],"three":[84],"(3)":[85],"existing":[86],"ANCs":[87],"using":[88],"FIR":[89],"filter,":[90,92],"FLANN":[94],"alone.":[95]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
