{"id":"https://openalex.org/W2295748404","doi":"https://doi.org/10.1109/embc.2015.7319814","title":"Wavelet-based motion artifact removal for electrodermal activity","display_name":"Wavelet-based motion artifact removal for electrodermal activity","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2295748404","doi":"https://doi.org/10.1109/embc.2015.7319814","mag":"2295748404","pmid":"https://pubmed.ncbi.nlm.nih.gov/26737714"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7319814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/110678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010861834","display_name":"Weixuan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weixuan Chen","raw_affiliation_strings":["Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046953322","display_name":"Natasha Jaques","orcid":"https://orcid.org/0000-0002-8413-9469"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natasha Jaques","raw_affiliation_strings":["Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015112468","display_name":"Sara Taylor","orcid":"https://orcid.org/0009-0006-3216-8838"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara Taylor","raw_affiliation_strings":["Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061041118","display_name":"Akane Sano","orcid":"https://orcid.org/0000-0003-4484-8946"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akane Sano","raw_affiliation_strings":["Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021334514","display_name":"Szymon Fedor","orcid":"https://orcid.org/0000-0002-9857-0188"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Szymon Fedor","raw_affiliation_strings":["Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087366916","display_name":"Rosalind W. Picard","orcid":"https://orcid.org/0000-0002-5661-0022"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rosalind W. Picard","raw_affiliation_strings":["Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Affective Computing Group, Massachusetts Institute of Technology, Cambridge, U.S","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5888,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.89650819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2015","issue":null,"first_page":"6223","last_page":"6226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9916999936103821,"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":0.8257772326469421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851420998573303},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.683866024017334},{"id":"https://openalex.org/keywords/skin-conductance","display_name":"Skin conductance","score":0.573739767074585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375563502311707},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5019423961639404},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.49012789130210876},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4748437702655792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46247991919517517},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.45777270197868347},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.44057056307792664},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13917776942253113},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.12778019905090332},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0758010745048523},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.06405436992645264}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.8257772326469421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851420998573303},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.683866024017334},{"id":"https://openalex.org/C111902132","wikidata":"https://www.wikidata.org/wiki/Q1326834","display_name":"Skin conductance","level":2,"score":0.573739767074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375563502311707},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5019423961639404},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.49012789130210876},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4748437702655792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46247991919517517},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.45777270197868347},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.44057056307792664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13917776942253113},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.12778019905090332},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0758010745048523},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.06405436992645264}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","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":"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":"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":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","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":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc.2015.7319814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26737714","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26737714","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:dspace.mit.edu:1721.1/110678","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/110678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"pmh:oai:europepmc.org:4262431","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5413204","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/110678","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/110678","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W59771946","https://openalex.org/W1573847880","https://openalex.org/W1579271636","https://openalex.org/W1653130573","https://openalex.org/W1905397622","https://openalex.org/W1967261306","https://openalex.org/W1984067037","https://openalex.org/W1996507088","https://openalex.org/W2003697795","https://openalex.org/W2004995977","https://openalex.org/W2009117216","https://openalex.org/W2036226164","https://openalex.org/W2049177426","https://openalex.org/W2057723575","https://openalex.org/W2058073580","https://openalex.org/W2061052441","https://openalex.org/W2062914254","https://openalex.org/W2087592512","https://openalex.org/W2092416870","https://openalex.org/W2105036571","https://openalex.org/W2107994016","https://openalex.org/W2108431768","https://openalex.org/W2120339204","https://openalex.org/W2122014760","https://openalex.org/W2135209903","https://openalex.org/W2136017820","https://openalex.org/W2146992238","https://openalex.org/W2157570848","https://openalex.org/W2163621334","https://openalex.org/W2171801645","https://openalex.org/W2953127026","https://openalex.org/W3111419713","https://openalex.org/W4250466766","https://openalex.org/W6642046472","https://openalex.org/W6787470467","https://openalex.org/W6931121357"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W4327518326","https://openalex.org/W1741504538","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2019696434","https://openalex.org/W2502336004","https://openalex.org/W3162837891","https://openalex.org/W4308623176","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Electrodermal":[0],"activity":[1],"(EDA)":[2],"recording":[3],"is":[4,20],"a":[5,30,44,55,97],"powerful,":[6],"widely":[7],"used":[8],"tool":[9],"for":[10,32],"monitoring":[11],"psychological":[12],"or":[13],"physiological":[14],"arousal.":[15],"However,":[16],"analysis":[17],"of":[18,74,100],"EDA":[19],"hampered":[21],"by":[22],"its":[23],"sensitivity":[24],"to":[25,60],"motion":[26,34],"artifacts.":[27],"We":[28,49,83],"propose":[29],"method":[31,87,95],"removing":[33],"artifacts":[35,101],"from":[36],"EDA,":[37],"measured":[38],"as":[39,54],"skin":[40,63,68],"conductance":[41,64,69],"(SC),":[42],"using":[43],"stationary":[45],"wavelet":[46,52],"transform":[47],"(SWT).":[48],"modeled":[50],"the":[51,61,75,85],"coefficients":[53],"Gaussian":[56],"mixture":[57],"distribution":[58],"corresponding":[59],"underlying":[62],"level":[65],"(SCL)":[66],"and":[67],"responses":[70],"(SCRs).":[71],"The":[72],"goodness-of-fit":[73],"model":[76],"was":[77],"validated":[78],"on":[79],"ambulatory":[80],"SC":[81],"data.":[82,105],"evaluated":[84],"proposed":[86],"in":[88],"comparison":[89],"with":[90],"three":[91],"previous":[92],"approaches.":[93],"Our":[94],"achieved":[96],"greater":[98],"reduction":[99],"while":[102],"retaining":[103],"motion-artifact-free":[104]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
