{"id":"https://openalex.org/W2101394537","doi":"https://doi.org/10.1109/tbme.2009.2039568","title":"Two-Stage Approach for Detection and Reduction of Motion Artifacts in Photoplethysmographic Data","display_name":"Two-Stage Approach for Detection and Reduction of Motion Artifacts in Photoplethysmographic Data","publication_year":2010,"publication_date":"2010-02-17","ids":{"openalex":"https://openalex.org/W2101394537","doi":"https://doi.org/10.1109/tbme.2009.2039568","mag":"2101394537","pmid":"https://pubmed.ncbi.nlm.nih.gov/20172800"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2009.2039568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2039568","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":true,"oa_status":"green","oa_url":"https://krex.k-state.edu/bitstreams/61d54b59-ed4c-4d70-a338-95e362a77da7/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110628636","display_name":"Rajet Krishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]},{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"facility","lineage":["https://openalex.org/I24676775"]}],"countries":["IN","US"],"is_corresponding":true,"raw_author_name":"Rajet Krishnan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA. rajetk@ksu.edu","Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","Center of Excellence in Wireless Technology, Indian Institute of Technology Madras, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA. rajetk@ksu.edu","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]},{"raw_affiliation_string":"Center of Excellence in Wireless Technology, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003778401","display_name":"Balasubramaniam Natarajan","orcid":"https://orcid.org/0000-0001-6429-9003"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balasubramaniam Natarajan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000313450","display_name":"Steve Warren","orcid":"https://orcid.org/0000-0002-9811-2267"},"institutions":[{"id":"https://openalex.org/I189590672","display_name":"Kansas State University","ror":"https://ror.org/05p1j8758","country_code":"US","type":"education","lineage":["https://openalex.org/I189590672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Warren","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS, USA","institution_ids":["https://openalex.org/I189590672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110628636"],"corresponding_institution_ids":["https://openalex.org/I189590672","https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":3.8926,"has_fulltext":false,"cited_by_count":257,"citation_normalized_percentile":{"value":0.93487136,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"57","issue":"8","first_page":"1867","last_page":"1876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.991599977016449,"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/artifact","display_name":"Artifact (error)","score":0.74373859167099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6278712153434753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5446857213973999},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5422583222389221},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.4121851325035095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3414834141731262},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3144508898258209}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.74373859167099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6278712153434753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5446857213973999},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5422583222389221},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.4121851325035095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3414834141731262},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3144508898258209},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","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":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005542","descriptor_name":"Forearm","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","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":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","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":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2009.2039568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2039568","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:20172800","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20172800","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:krex.k-state.edu:2097/6239","is_oa":true,"landing_page_url":"http://hdl.handle.net/2097/6239","pdf_url":"https://krex.k-state.edu/bitstreams/61d54b59-ed4c-4d70-a338-95e362a77da7/download","source":{"id":"https://openalex.org/S4306402339","display_name":"K-State Research Exchange (Kansas State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189590672","host_organization_name":"Kansas State University","host_organization_lineage":["https://openalex.org/I189590672"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:krex.k-state.edu:2097/6239","is_oa":true,"landing_page_url":"http://hdl.handle.net/2097/6239","pdf_url":"https://krex.k-state.edu/bitstreams/61d54b59-ed4c-4d70-a338-95e362a77da7/download","source":{"id":"https://openalex.org/S4306402339","display_name":"K-State Research Exchange (Kansas State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189590672","host_organization_name":"Kansas State University","host_organization_lineage":["https://openalex.org/I189590672"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2101394537.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522399249","https://openalex.org/W1572919062","https://openalex.org/W1573902889","https://openalex.org/W1590772317","https://openalex.org/W1974388905","https://openalex.org/W1982676120","https://openalex.org/W1986345014","https://openalex.org/W1992974489","https://openalex.org/W1993626146","https://openalex.org/W2004215803","https://openalex.org/W2018388266","https://openalex.org/W2027884847","https://openalex.org/W2074667327","https://openalex.org/W2086869312","https://openalex.org/W2104164259","https://openalex.org/W2108851690","https://openalex.org/W2117611425","https://openalex.org/W2117987876","https://openalex.org/W2118403326","https://openalex.org/W2123879611","https://openalex.org/W2141224535","https://openalex.org/W2159688035","https://openalex.org/W2162813809","https://openalex.org/W2163599171","https://openalex.org/W2168294602","https://openalex.org/W2249133779","https://openalex.org/W2460211189","https://openalex.org/W2545853400","https://openalex.org/W3133603318","https://openalex.org/W3146766938","https://openalex.org/W4242259102","https://openalex.org/W6675764344","https://openalex.org/W6683925190"],"related_works":["https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W4297152434","https://openalex.org/W2072858761","https://openalex.org/W2122132874","https://openalex.org/W4200107443","https://openalex.org/W4239033438","https://openalex.org/W2170552210","https://openalex.org/W4318970012","https://openalex.org/W1968279762"],"abstract_inverted_index":{"Corruption":[0],"of":[1,16,40,68,150,193,200,304,316,354,373,399,411],"photopleythysmograms":[2],"(PPGs)":[3],"by":[4,197,368],"motion":[5,41,53,69,97,151,293,318,344,393,414],"artifacts":[6,70,394],"has":[7],"been":[8],"a":[9,283,292,317,355,383],"serious":[10],"obstacle":[11],"to":[12,36,52,146,178,278,382,407],"the":[13,38,148,162,169,194,201,302,351,364,370,374,397,400,409,412],"reliable":[14],"use":[15],"pulse":[17,375],"oximeters":[18],"for":[19,191,258],"real-time,":[20],"continuous":[21],"state-of-health":[22],"monitoring.":[23],"In":[24],"this":[25,324],"paper,":[26],"we":[27,140,208,290],"propose":[28,291],"an":[29,311],"automated,":[30],"two-stage":[31],"PPG":[32],"data":[33,73,167,224,338,378],"processing":[34],"method":[35,296],"minimize":[37],"effects":[39],"artifacts.":[42,345],"The":[43,308,334,346,358],"technique":[44],"is":[45,189,298],"based":[46],"on":[47],"our":[48],"prior":[49],"work":[50],"related":[51],"artifact":[54,98,110,152,294,415],"detection":[55,67,187,229,319],"(stage":[56,100],"1)":[57],"[R.":[58,102],"Krishnan,":[59,103],"B.":[60,104],"Natarajan,":[61,105],"and":[62,66,96,106,143,171,175,182,212,220,245,249,329],"S.":[63,107],"Warren,":[64,108],"\"Analysis":[65],"in":[71,78,112,121,153,161,168,217,226,276,301,323],"photoplethysmographic":[72],"using":[74,114],"higher":[75,156],"order":[76,157,277],"statistics,''":[77],"Proc.":[79,122],"IEEE":[80,231,261],"Int.":[81,124],"Conf.":[82,125],"Acoust.,":[83],"Speech,":[84],"Signal":[85],"Process.":[86],"(ICASSP":[87],"2008),":[88],"Las":[89],"Vegas,":[90],"Nevada,":[91],"Apr.":[92],"2008,":[93,134],"pp.":[94,135,241,271],"613-616]":[95],"reduction":[99,111,295,416],"2)":[101],"\"Motion":[109],"photoplethysmography":[113],"magnitude-based":[115,384],"frequency":[116,172,353],"domain":[117],"independent":[118,206,386],"component":[119,387],"analysis,''":[120],"17th":[123],"Comput.":[126],"Commun.":[127],"Network,":[128],"St.":[129],"Thomas,":[130],"Virgin":[131],"Islands,":[132],"Aug.":[133],"1-5].":[136],"Regarding":[137],"stage":[138,288],"1,":[139,238,240],"present":[141,160,395],"novel":[142],"consistent":[144],"techniques":[145,215],"detect":[147],"presence":[149,303],"PPGs":[154],"given":[155],"statistical":[158],"information":[159],"data.":[163,184],"We":[164],"analyze":[165],"these":[166],"time":[170],"domains":[173],"(FDs)":[174],"identify":[176],"metrics":[177,202],"distinguish":[179],"between":[180],"clean":[181,337],"motion-corrupted":[183],"A":[185],"Neyman-Pearson":[186],"rule":[188],"formulated":[190],"each":[192,199],"metrics.":[195],"Furthermore,":[196],"treating":[198],"as":[203],"observations":[204],"from":[205],"sensors,":[207],"employ":[209],"hard":[210],"fusion":[211,214,225],"soft":[213],"presented":[216,406],"[Z.":[218],"Chair":[219],"P.":[221],"Varshney,":[222],"\"Optimal":[223],"multiple":[227],"sensor":[228],"systems,''":[230],"Trans.":[232,262],"Aerosp.":[233,263],"Electron.":[234,264],"Syst.,":[235,265],"AES,":[236,266],"vol.":[237,267],"no.":[239,269],"98-101,":[242],"Jan.":[243],"1986]":[244],"[C.":[246],"C.":[247],"Lee":[248],"J.":[250,251],"Chao,":[252],"\"Optimum":[253],"local":[254],"decision":[255],"space":[256],"partitioning":[257],"distributed":[259],"detection,''":[260],"25,":[268],"7,":[270],"536-544,":[272],"Jul.":[273],"1989],":[274],"respectively,":[275],"fuse":[279],"individual":[280],"decisions":[281],"into":[282],"global":[284],"system":[285],"decision.":[286],"For":[287],"two,":[289],"that":[297],"effective":[299],"even":[300],"severe":[305],"subject":[306],"movement.":[307],"approach":[309],"involves":[310],"enhanced":[312],"preprocessing":[313],"unit":[314,320,349,362],"consisting":[315],"(MDU,":[321],"developed":[322],"paper),":[325],"period":[326,347],"estimation":[327,348],"unit,":[328],"Fourier":[330,359],"series":[331,360],"reconstruction":[332,361,401],"unit.":[333,389],"MDU":[335],"identifies":[336],"frames":[339],"versus":[340],"those":[341],"corrupted":[342],"with":[343],"determines":[350],"fundamental":[352],"corrupt":[356],"frame.":[357],"reconstructs":[363],"final":[365],"preprocessed":[366],"signal":[367],"utilizing":[369],"spectrum":[371],"variability":[372],"waveform.":[376],"Preprocessed":[377],"are":[379,405],"then":[380],"fed":[381],"FD":[385],"analysis":[388],"This":[390],"helps":[391],"reduce":[392],"at":[396],"frequencies":[398],"components.":[402],"Experimental":[403],"results":[404],"demonstrate":[408],"efficacy":[410],"overall":[413],"method.":[417]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
