{"id":"https://openalex.org/W4210474116","doi":"https://doi.org/10.1109/jbhi.2022.3144677","title":"A Motion and Illumination Resistant Non-Contact Method Using Undercomplete Independent Component Analysis and Levenberg-Marquardt Algorithm","display_name":"A Motion and Illumination Resistant Non-Contact Method Using Undercomplete Independent Component Analysis and Levenberg-Marquardt Algorithm","publication_year":2022,"publication_date":"2022-01-25","ids":{"openalex":"https://openalex.org/W4210474116","doi":"https://doi.org/10.1109/jbhi.2022.3144677","pmid":"https://pubmed.ncbi.nlm.nih.gov/35077371"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3144677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3144677","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5054571372","display_name":"Ankit Gupta","orcid":"https://orcid.org/0000-0002-2310-908X"},"institutions":[{"id":"https://openalex.org/I2799601376","display_name":"Madeira Tecnopolo","ror":"https://ror.org/02fky0856","country_code":"PT","type":"archive","lineage":["https://openalex.org/I2799601376"]},{"id":"https://openalex.org/I4387152454","display_name":"Instituto de Tecnologias Interativas","ror":"https://ror.org/011ewyt41","country_code":null,"type":"facility","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]},{"id":"https://openalex.org/I58028834","display_name":"Universidade da Madeira","ror":"https://ror.org/0442zbe52","country_code":"PT","type":"education","lineage":["https://openalex.org/I58028834"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ankit Gupta","raw_affiliation_strings":["Madeira Interactive Technologies Institute (ITI/LARSyS/M-ITI), Funchal, Portugal","Department of Informatics Engineering, University of Madeira, Funchal, Caminho da Penteada, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-2310-908X","affiliations":[{"raw_affiliation_string":"Madeira Interactive Technologies Institute (ITI/LARSyS/M-ITI), Funchal, Portugal","institution_ids":["https://openalex.org/I2799601376","https://openalex.org/I4387152454"]},{"raw_affiliation_string":"Department of Informatics Engineering, University of Madeira, Funchal, Caminho da Penteada, Portugal","institution_ids":["https://openalex.org/I58028834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046020340","display_name":"Antonio G. Ravelo\u2010Garc\u00eda","orcid":"https://orcid.org/0000-0002-8512-965X"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]},{"id":"https://openalex.org/I2799601376","display_name":"Madeira Tecnopolo","ror":"https://ror.org/02fky0856","country_code":"PT","type":"archive","lineage":["https://openalex.org/I2799601376"]},{"id":"https://openalex.org/I4387152454","display_name":"Instituto de Tecnologias Interativas","ror":"https://ror.org/011ewyt41","country_code":null,"type":"facility","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]}],"countries":["ES","PT"],"is_corresponding":false,"raw_author_name":"Antonio G. Ravelo-Garc\u00eda","raw_affiliation_strings":["Madeira Interactive Technologies Institute (ITI/Larsys/M-ITI), Funchal, Portugal","Institute for Technological Development and Innovation in Communications, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain"],"raw_orcid":"https://orcid.org/0000-0002-8512-965X","affiliations":[{"raw_affiliation_string":"Madeira Interactive Technologies Institute (ITI/Larsys/M-ITI), Funchal, Portugal","institution_ids":["https://openalex.org/I2799601376","https://openalex.org/I4387152454"]},{"raw_affiliation_string":"Institute for Technological Development and Innovation in Communications, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain","institution_ids":["https://openalex.org/I119635470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083968722","display_name":"Fernando Morgado\u2010Dias","orcid":"https://orcid.org/0000-0001-7334-3993"},"institutions":[{"id":"https://openalex.org/I2799601376","display_name":"Madeira Tecnopolo","ror":"https://ror.org/02fky0856","country_code":"PT","type":"archive","lineage":["https://openalex.org/I2799601376"]},{"id":"https://openalex.org/I4387152454","display_name":"Instituto de Tecnologias Interativas","ror":"https://ror.org/011ewyt41","country_code":null,"type":"facility","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152454"]},{"id":"https://openalex.org/I58028834","display_name":"Universidade da Madeira","ror":"https://ror.org/0442zbe52","country_code":"PT","type":"education","lineage":["https://openalex.org/I58028834"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fernando Morgado Dias","raw_affiliation_strings":["Madeira Interactive Technologies Institute (ITI/LARSyS/M-ITI), Funchal, Portugal","Faculty of Exact Sciences and Engineering, University of Madeira, Funchal, Portugal"],"raw_orcid":"https://orcid.org/0000-0001-7334-3993","affiliations":[{"raw_affiliation_string":"Madeira Interactive Technologies Institute (ITI/LARSyS/M-ITI), Funchal, Portugal","institution_ids":["https://openalex.org/I2799601376","https://openalex.org/I4387152454"]},{"raw_affiliation_string":"Faculty of Exact Sciences and Engineering, University of Madeira, Funchal, Portugal","institution_ids":["https://openalex.org/I58028834"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3478,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.77554391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"10","first_page":"4837","last_page":"4848"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":1.0,"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":1.0,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9945999979972839,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.7018787264823914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6049143671989441},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.6009202003479004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5907536149024963},{"id":"https://openalex.org/keywords/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.5848448276519775},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.465389609336853},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.45829543471336365},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.45168453454971313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3986366391181946},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39236798882484436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.376990407705307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3569028973579407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26006582379341125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12614816427230835},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09761396050453186}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7018787264823914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6049143671989441},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6009202003479004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5907536149024963},{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.5848448276519775},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.465389609336853},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.45829543471336365},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.45168453454971313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3986366391181946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39236798882484436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.376990407705307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3569028973579407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26006582379341125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12614816427230835},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09761396050453186},{"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":"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":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D008029","descriptor_name":"Lighting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008029","descriptor_name":"Lighting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"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},{"descriptor_ui":"D017156","descriptor_name":"Photoplethysmography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2022.3144677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3144677","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:35077371","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35077371","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:accedacris.ulpgc.es:10553/113703","is_oa":false,"landing_page_url":"http://hdl.handle.net/10553/113703","pdf_url":null,"source":{"id":"https://openalex.org/S4306400136","display_name":"Acceda (Universidad de Las Palmas de Gran Canaria)","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":"IEEE Journal of Biomedical and Health Informatics[ISSN 2168-2194], (Enero 2022)","raw_type":"info:eu-repo/semantics/workingpaper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W621251951","https://openalex.org/W1589449010","https://openalex.org/W1754183646","https://openalex.org/W1974927758","https://openalex.org/W1984026713","https://openalex.org/W1984554603","https://openalex.org/W1986273245","https://openalex.org/W1994303078","https://openalex.org/W1998585127","https://openalex.org/W2003922338","https://openalex.org/W2008821584","https://openalex.org/W2010270685","https://openalex.org/W2011989160","https://openalex.org/W2029745771","https://openalex.org/W2044935899","https://openalex.org/W2063119760","https://openalex.org/W2066747626","https://openalex.org/W2069692225","https://openalex.org/W2073817609","https://openalex.org/W2083872334","https://openalex.org/W2087070363","https://openalex.org/W2100260443","https://openalex.org/W2123649031","https://openalex.org/W2144360571","https://openalex.org/W2149224850","https://openalex.org/W2160303908","https://openalex.org/W2160799302","https://openalex.org/W2164598857","https://openalex.org/W2171496128","https://openalex.org/W2236623899","https://openalex.org/W2256578114","https://openalex.org/W2299617127","https://openalex.org/W2464296310","https://openalex.org/W2506766201","https://openalex.org/W2520509592","https://openalex.org/W2529149089","https://openalex.org/W2562896347","https://openalex.org/W2766766681","https://openalex.org/W2800326117","https://openalex.org/W2801411683","https://openalex.org/W2896102525","https://openalex.org/W2900712889","https://openalex.org/W2902449706","https://openalex.org/W2979437880","https://openalex.org/W2984922178","https://openalex.org/W3011309588","https://openalex.org/W3015003552","https://openalex.org/W3029866258","https://openalex.org/W3113056189","https://openalex.org/W4240752724","https://openalex.org/W4297816351","https://openalex.org/W6635143858","https://openalex.org/W6683504900","https://openalex.org/W6743449970","https://openalex.org/W7066701428"],"related_works":["https://openalex.org/W357196361","https://openalex.org/W2027314909","https://openalex.org/W1036938216","https://openalex.org/W3109425891","https://openalex.org/W2113714434","https://openalex.org/W2377792686","https://openalex.org/W4200439127","https://openalex.org/W829658220","https://openalex.org/W3096637473","https://openalex.org/W2946560178"],"abstract_inverted_index":{"Heart":[0],"Rate":[1],"(HR)":[2],"estimation":[3,19],"is":[4,120,153],"of":[5,49,180,187],"utmost":[6],"importance":[7],"due":[8],"to":[9,112,129],"its":[10,192,200,229],"applicability":[11],"in":[12,27],"diverse":[13],"fields.":[14],"Conventional":[15],"methods":[16,43,52,77,198],"for":[17,70],"HR":[18,37],"require":[20],"skin":[21,33],"contact":[22],"and":[23,95,107,114,166,175,202,211],"are":[24],"not":[25],"suitable":[26],"certain":[28,90],"scenarios":[29],"such":[30],"as":[31,103],"sensitive":[32],"or":[34,84],"prolonged":[35],"unobtrusive":[36],"monitoring.":[38],"Therefore":[39],"remote":[40],"photoplethysmography":[41],"(rPPG)":[42],"have":[44],"become":[45],"an":[46,104,123],"active":[47],"area":[48],"research.":[50],"These":[51],"utilize":[53],"the":[54,64,131,146,151,184,188,196,208,222],"facial":[55],"videos":[56],"acquired":[57],"using":[58,134,145],"a":[59,80,109,135],"camera":[60],"followed":[61],"by":[62,207],"extracting":[63],"Blood":[65],"Volume":[66],"Pulse":[67],"(BVP)":[68],"signal":[69],"heart":[71],"rate":[72],"calculation.":[73],"The":[74,156],"existing":[75],"rPPG":[76],"either":[78],"utilized":[79],"single":[81],"color":[82,86],"channel":[83],"weighted":[85],"differences,":[87],"which":[88,204],"has":[89,142],"limitations":[91],"dealing":[92],"with":[93,195],"motion":[94,113],"illumination":[96,115,167],"artifacts.":[97,117],"This":[98,118],"study":[99],"considered":[100],"BVP":[101],"extraction":[102],"undercomplete":[105,124],"problem":[106],"proposed":[108,157,189],"method":[110,119,152,158],"resistant":[111],"variation":[116],"based":[121],"on":[122],"independent":[125],"component":[126],"analysis,":[127],"aiming":[128],"estimate":[130],"unmixing":[132],"matrix":[133],"non-linear":[136],"Cumulative":[137],"Density":[138],"Function":[139],"(CDF)":[140],"that":[141],"been":[143],"optimized":[144],"customized":[147],"Levenberg-Marquardt":[148],"algorithm.":[149],"Therefore,":[150],"named":[154],"U-LMA.":[155,190],"was":[159,205],"tested":[160],"under":[161],"three":[162],"scenarios:":[163],"constrained,":[164],"motion,":[165],"variations":[168],"scenarios.":[169],"High":[170],"Pearson":[171],"correlation":[172,213],"coefficient":[173],"values":[174,214],"smaller":[176],"lower-upper":[177],"statistical":[178],"limits":[179],"Bland-Altman":[181],"plots":[182],"justified":[183,228],"outstanding":[185],"performance":[186],"Furthermore,":[191],"comparative":[193],"analysis":[194],"state-of-the-art":[197],"demonstrated":[199],"efficacy":[201],"reliability,":[203],"proven":[206],"lowest":[209],"error":[210,225],"highest":[212],"(0.01":[215],"significance":[216],"level).":[217],"Additionally,":[218],"higher":[219],"accuracy":[220],"satisfying":[221],"clinically":[223],"accepted":[224],"differences":[226],"also":[227],"clinical":[230],"relevance.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
