{"id":"https://openalex.org/W3080997403","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000927","title":"Noise Reference Signal\u2013Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field","display_name":"Noise Reference Signal\u2013Based Denoising Method for EDA Collected by Multimodal Biosensor Wearable in the Field","publication_year":2020,"publication_date":"2020-08-26","ids":{"openalex":"https://openalex.org/W3080997403","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000927","mag":"3080997403"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000927","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000927","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-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/A5016665387","display_name":"Gaang Lee","orcid":"https://orcid.org/0000-0002-6341-2585"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaang Lee","raw_affiliation_strings":["Ph.D. Candidate, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., G.G Brown Bldg., Ann Arbor, MI 48109"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ph.D. Candidate, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., G.G Brown Bldg., Ann Arbor, MI 48109","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082660070","display_name":"Byungjoo Choi","orcid":"https://orcid.org/0000-0002-3904-4305"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungjoo Choi","raw_affiliation_strings":["Assistant Professor, Dept. of Architectural Engineering, Ajou Univ., 206 World cup-ro, Suwon-si, Gyeonggi-do 16499, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Dept. of Architectural Engineering, Ajou Univ., 206 World cup-ro, Suwon-si, Gyeonggi-do 16499, Republic of Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035070058","display_name":"Houtan Jebelli","orcid":"https://orcid.org/0000-0003-4786-7616"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houtan Jebelli","raw_affiliation_strings":["Assistant Professor, Dept. of Architectural Engineering, Pennsylvania State Univ., 104 Engineering Unit A, University Park, PA 16802"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Dept. of Architectural Engineering, Pennsylvania State Univ., 104 Engineering Unit A, University Park, PA 16802","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084121817","display_name":"Changbum R. Ahn","orcid":"https://orcid.org/0000-0002-6733-2216"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changbum Ryan Ahn","raw_affiliation_strings":["Associate Professor, Dept. of Construction Science, Texas A&M Univ., 3137 TAMU, College Station, TX 77843"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Associate Professor, Dept. of Construction Science, Texas A&M Univ., 3137 TAMU, College Station, TX 77843","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460359","display_name":"Sang Hyun Lee","orcid":"https://orcid.org/0000-0002-2246-7440"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"SangHyun Lee","raw_affiliation_strings":["Professor, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., G.G Brown Bldg., Ann Arbor, MI 48109 (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, Univ. of Michigan, 2350 Hayward St., G.G Brown Bldg., Ann Arbor, MI 48109 (corresponding author)","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100460359"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.8103,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.67354772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9958999752998352,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9958999752998352,"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/T10860","display_name":"Speech and Audio Processing","score":0.992900013923645,"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/T10320","display_name":"Neural Networks and Applications","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6522671580314636},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6013555526733398},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.593485951423645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5888115167617798},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5050609707832336},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49251970648765564},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43581944704055786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38729196786880493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3455716371536255},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32680290937423706},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3258782923221588},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26591938734054565},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1911585032939911},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15233740210533142},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1484014391899109},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1314128041267395}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6522671580314636},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6013555526733398},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.593485951423645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5888115167617798},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5050609707832336},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49251970648765564},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43581944704055786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38729196786880493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3455716371536255},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32680290937423706},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3258782923221588},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26591938734054565},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1911585032939911},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15233740210533142},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1484014391899109},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1314128041267395},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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:10.1061/(asce)cp.1943-5487.0000927","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000927","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W206706296","https://openalex.org/W429766147","https://openalex.org/W1239497932","https://openalex.org/W1601060799","https://openalex.org/W1682040381","https://openalex.org/W1731081199","https://openalex.org/W1857698683","https://openalex.org/W1986683855","https://openalex.org/W1994589126","https://openalex.org/W2008512583","https://openalex.org/W2011691563","https://openalex.org/W2012763118","https://openalex.org/W2015100754","https://openalex.org/W2015839043","https://openalex.org/W2017337590","https://openalex.org/W2018762529","https://openalex.org/W2018848583","https://openalex.org/W2025265708","https://openalex.org/W2038295697","https://openalex.org/W2049276185","https://openalex.org/W2058195106","https://openalex.org/W2063918511","https://openalex.org/W2066215643","https://openalex.org/W2068753477","https://openalex.org/W2078663239","https://openalex.org/W2089951147","https://openalex.org/W2101240540","https://openalex.org/W2104068492","https://openalex.org/W2109602657","https://openalex.org/W2110075977","https://openalex.org/W2113555622","https://openalex.org/W2114824225","https://openalex.org/W2115403315","https://openalex.org/W2120708938","https://openalex.org/W2125288818","https://openalex.org/W2128619761","https://openalex.org/W2130388206","https://openalex.org/W2131292268","https://openalex.org/W2132764935","https://openalex.org/W2141236502","https://openalex.org/W2145444715","https://openalex.org/W2146002679","https://openalex.org/W2156977174","https://openalex.org/W2164420652","https://openalex.org/W2167277498","https://openalex.org/W2205024319","https://openalex.org/W2241833221","https://openalex.org/W2295748404","https://openalex.org/W2469350120","https://openalex.org/W2537867015","https://openalex.org/W2545992458","https://openalex.org/W2547616654","https://openalex.org/W2569842119","https://openalex.org/W2573696275","https://openalex.org/W2602393170","https://openalex.org/W2618250040","https://openalex.org/W2755510477","https://openalex.org/W2768123168","https://openalex.org/W2769644921","https://openalex.org/W2788661914","https://openalex.org/W2791179640","https://openalex.org/W2807107191","https://openalex.org/W2885544407","https://openalex.org/W2886710163","https://openalex.org/W2894631948","https://openalex.org/W2899108361","https://openalex.org/W2911482690","https://openalex.org/W2952116256","https://openalex.org/W2953127026","https://openalex.org/W2965493011","https://openalex.org/W2977691951","https://openalex.org/W3000056129","https://openalex.org/W3008020803","https://openalex.org/W4235421565","https://openalex.org/W4239410314","https://openalex.org/W6637618735"],"related_works":["https://openalex.org/W2294565841","https://openalex.org/W3204276839","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W2519522639","https://openalex.org/W4293469093","https://openalex.org/W2006668579","https://openalex.org/W2603734352","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"Since":[0],"people":[1],"in":[2,88,95,108,135,195,332,352,356],"contemporary":[3],"society":[4],"spend":[5],"most":[6],"of":[7,25,32,63,66,120,139,178,282,317,367],"their":[8,333],"time":[9],"interacting":[10],"with":[11,68,184,242,289,336],"the":[12,23,42,64,69,96,136,150,179,196,208,233,246,258,280,315,337,353,365,372],"built":[13,70,338,354,373],"environment,":[14],"there":[15],"is":[16,78],"a":[17,92,153,163,199,357],"growing":[18],"need":[19,47],"to":[20,29,44,75,82,133,167,279,322],"thoroughly":[21],"understand":[22],"quality":[24,31,65,366],"human\u2013built":[26],"environment":[27,355],"interaction":[28,67,368],"improve":[30,262],"life.":[33],"Recent":[34],"wearable":[35,93,308,318],"electrodermal":[36],"activity":[37],"(EDA)":[38],"sensing":[39,320],"has":[40],"shown":[41],"potential":[43],"meet":[45],"this":[46,148],"by":[48,91,118,222,231,245,250,267,284,299],"continuously,":[49,323],"less":[50,53,324,327],"invasively,":[51,325],"and":[52,85,113,142,215,273,326,348,371],"laboriously":[54,328],"monitoring":[55],"individuals\u2019":[56],"stress":[57,77,192,201,234,263,331,342],"levels":[58],"as":[59,162,171,173,236],"an":[60],"important":[61],"dimension":[62],"environment.":[71,339,374],"However,":[72],"analyzing":[73],"EDA":[74,89,115,144,205,220,243,266,319],"detect":[76,347],"still":[79],"challenging":[80],"due":[81,132],"significant":[83],"intrinsic":[84,129,270,287],"extrinsic":[86,174,274],"noises":[87,112],"collected":[90,159,194],"biosensor":[94],"field.":[97,197],"Although":[98],"several":[99],"denoising":[100,154,187,224,252],"methods":[101,125,188],"have":[102],"been":[103],"proposed":[104,180,209,247,259],"based":[105],"on":[106],"differences":[107],"signal":[109,137,166,290,303],"characteristics":[110,138,291],"between":[111,369],"desired":[114,143],"signals":[116,295],"evoked":[117],"sources":[119],"interest":[121],"(e.g.,":[122],"stress),":[123],"these":[124],"do":[126],"not":[127],"address":[128,147,349],"respiration":[130,140,164,169,271],"noise":[131,141,170,272,288],"similarities":[134],"signals.":[145],"To":[146],"issue,":[149],"authors":[151],"propose":[152],"method":[155,181,210,248,260],"that":[156,257,286],"references":[157],"simultaneously":[158],"photoplethysmography":[160],"(PPG)":[161],"noise\u2013correlated":[165],"attenuate":[168],"well":[172],"noises.":[175],"The":[176,276],"performance":[177],"was":[182],"compared":[183],"advanced":[185],"benchmark":[186,223,251],"using":[189,207,265,306],"25":[190],"subjects\u2019":[191],"data":[193],"As":[198],"result,":[200],"metrics":[202,235],"calculated":[203],"from":[204,219,293],"denoised":[206,221,244],"were":[211],"statistically":[212,239],"more":[213,358,362],"valid":[214],"reliable":[216],"than":[217,249],"ones":[218],"methods.":[225,253],"Accordingly,":[226],"machine":[227],"learning":[228],"models":[229],"trained":[230],"having":[232],"features":[237],"showed":[238],"higher":[240],"accuracy":[241],"These":[254],"results":[255],"show":[256],"can":[261,296,346],"measurement":[264],"attenuating":[268],"both":[269],"noise.":[275],"finding":[277],"contributes":[278],"body":[281],"knowledge":[283,312],"demonstrating":[285],"indistinguishable":[292],"desirable":[294],"be":[297],"suppressed":[298],"referencing":[300],"another":[301],"noise-correlated":[302],"effortlessly":[304],"acquired":[305],"multimodal":[307],"biosensors.":[309],"This":[310],"new":[311],"will":[313],"facilitate":[314],"application":[316],"devices":[321],"measure":[329],"people\u2019s":[330],"daily":[334],"interactions":[335],"Using":[340],"wearable-based":[341],"measurement,":[343],"urban":[344],"managers":[345],"environmental":[350],"stressors":[351],"scalable":[359],"manner,":[360],"thereby":[361],"effectively":[363],"improving":[364],"humans":[370]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}