{"id":"https://openalex.org/W2967138502","doi":"https://doi.org/10.1109/memea.2019.8802169","title":"Solving the Inverse Problem in Spirometry with the Methods of Global and Local Estimation","display_name":"Solving the Inverse Problem in Spirometry with the Methods of Global and Local Estimation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967138502","doi":"https://doi.org/10.1109/memea.2019.8802169","mag":"2967138502"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2019.8802169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2019.8802169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},"type":"article","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/A5039010915","display_name":"Adam G. Polak","orcid":"https://orcid.org/0000-0002-9140-1162"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Adam G. Polak","raw_affiliation_strings":["Chair of Electronic and Photonic Metrology, Wrocław University of Science & Technology, Wrocław, Poland","Chair of Electronic and Photonic Metrology, Wroc\u0142aw University of Science & Technology, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Chair of Electronic and Photonic Metrology, Wrocław University of Science & Technology, Wrocław, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Chair of Electronic and Photonic Metrology, Wroc\u0142aw University of Science & Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042441041","display_name":"Dariusz Wysocza\u0144ski","orcid":"https://orcid.org/0000-0002-3530-6021"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dariusz Wysocza\u0144ski","raw_affiliation_strings":["Chair of Electronic and Photonic Metrology, Wrocław University of Science & Technology, Wrocław, Poland","Chair of Electronic and Photonic Metrology, Wroc\u0142aw University of Science & Technology, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Chair of Electronic and Photonic Metrology, Wrocław University of Science & Technology, Wrocław, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Chair of Electronic and Photonic Metrology, Wroc\u0142aw University of Science & Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060334164","display_name":"Janusz Mroczka","orcid":"https://orcid.org/0000-0001-8006-0246"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Janusz Mroczka","raw_affiliation_strings":["Chair of Electronic and Photonic Metrology, Wrocław University of Science & Technology, Wrocław, Poland","Chair of Electronic and Photonic Metrology, Wroc\u0142aw University of Science & Technology, Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Chair of Electronic and Photonic Metrology, Wrocław University of Science & Technology, Wrocław, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Chair of Electronic and Photonic Metrology, Wroc\u0142aw University of Science & Technology, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039010915"],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":null,"apc_paid":null,"fwci":0.3458,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65458728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10322","display_name":"Respiratory Support and Mechanisms","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10549","display_name":"Neonatal Respiratory Health Research","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/spirometry","display_name":"Spirometry","score":0.7862948179244995},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.736290454864502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598839521408081},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.5275775194168091},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4769386649131775},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.46477606892585754},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4294721484184265},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3855377733707428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3660803437232971},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35008737444877625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33317601680755615},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24237319827079773},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10484382510185242}],"concepts":[{"id":"https://openalex.org/C2780333948","wikidata":"https://www.wikidata.org/wiki/Q653305","display_name":"Spirometry","level":3,"score":0.7862948179244995},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.736290454864502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598839521408081},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.5275775194168091},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4769386649131775},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.46477606892585754},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4294721484184265},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3855377733707428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3660803437232971},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35008737444877625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33317601680755615},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24237319827079773},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10484382510185242},{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea.2019.8802169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2019.8802169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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":33,"referenced_works":["https://openalex.org/W81070419","https://openalex.org/W1862464476","https://openalex.org/W1937043149","https://openalex.org/W1943572418","https://openalex.org/W1944366426","https://openalex.org/W1970189509","https://openalex.org/W1979869859","https://openalex.org/W1997820336","https://openalex.org/W2002933529","https://openalex.org/W2007911316","https://openalex.org/W2014369303","https://openalex.org/W2026374076","https://openalex.org/W2036587171","https://openalex.org/W2056210683","https://openalex.org/W2061428539","https://openalex.org/W2065206409","https://openalex.org/W2070008525","https://openalex.org/W2076566187","https://openalex.org/W2087810601","https://openalex.org/W2117937806","https://openalex.org/W2124879124","https://openalex.org/W2128723590","https://openalex.org/W2140153779","https://openalex.org/W2149194969","https://openalex.org/W2149937209","https://openalex.org/W2168262433","https://openalex.org/W2174587670","https://openalex.org/W2260843855","https://openalex.org/W2528701241","https://openalex.org/W2776585354","https://openalex.org/W2943310837","https://openalex.org/W2994597783","https://openalex.org/W4213189266"],"related_works":["https://openalex.org/W1895106260","https://openalex.org/W2419252117","https://openalex.org/W2582752839","https://openalex.org/W2984685339","https://openalex.org/W2776261274","https://openalex.org/W3006781906","https://openalex.org/W2499072228","https://openalex.org/W4377093337","https://openalex.org/W292341166","https://openalex.org/W3095608310"],"abstract_inverted_index":{"Forced":[0],"expiration":[1,48],"is":[2,141],"the":[3,60,78,95,102,124,127,132,139,146,151,155,185,199,207,222],"most":[4],"commonly":[5],"applied":[6],"lung":[7,35],"function":[8],"tests.":[9,227],"The":[10,70,135,160],"forward":[11],"problem":[12],"in":[13,174,198],"spirometry":[14,39,111],"was":[15,49,75],"solved":[16],"a":[17,22,43,214],"few":[18],"decades":[19],"ago,":[20],"nevertheless,":[21],"relatively":[23],"small":[24],"amount":[25],"of":[26,34,72,80,89,116,189,206,224],"work":[27,74],"has":[28],"been":[29],"devoted":[30],"to":[31,51,76,84,120,130,144,150,176,221],"indirect":[32],"measurements":[33],"properties":[36],"based":[37],"on":[38],"data.":[40,200],"Just":[41],"recently,":[42],"reduced":[44],"model":[45,68,147,166,217],"for":[46,164],"forced":[47],"used":[50,119],"create":[52],"and":[53,67,97,122,126,153,171,218],"evaluate":[54,77],"an":[55,81],"artificial":[56],"neural":[57],"network":[58],"approximating":[59],"inverse":[61,86],"mapping":[62],"(InvNN)":[63],"between":[64,169,187],"spirometric":[65],"data":[66,211],"parameters.":[69],"aim":[71],"this":[73,85,107,158],"accuracy":[79],"extended":[82],"approach":[83],"problem,":[87],"consisting":[88],"two":[90],"stages:":[91],"global":[92],"estimation":[93,100,162],"using":[94,209],"InvNN":[96,140],"then":[98],"local":[99],"with":[101],"Levenberg-Marquardt":[103],"algorithm":[104],"(LM).":[105],"To":[106],"end,":[108],"8000":[109],"synthetic":[110,210],"results":[112,136,223],"were":[113,118],"generated.":[114],"6800":[115],"them":[117],"train":[121],"validate":[123],"InvNN,":[125],"remaining":[128],"1200":[129],"test":[131],"entire":[133],"method.":[134],"show":[137],"that":[138,154],"not":[142],"able":[143],"fit":[145],"well":[148,193],"enough":[149],"data,":[152],"LM":[156],"compensates":[157],"deficiency.":[159],"total":[161],"errors":[163,181],"particular":[165],"parameters":[167],"are":[168],"4":[170],"19":[172],"%":[173],"relation":[175],"their":[177],"variability":[178],"ranges.":[179],"Higher":[180],"mainly":[182],"stem":[183],"from":[184,195],"correlations":[186],"some":[188],"parameter":[190],"estimators,":[191],"as":[192,194],"noise":[196],"present":[197],"These":[201],"outcomes":[202],"encourage":[203],"further":[204],"analysis":[205],"method":[208],"generated":[212],"by":[213],"more":[215],"complex":[216],"its":[219],"application":[220],"bronchial":[225],"challenge":[226]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}