{"id":"https://openalex.org/W4323520905","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10052046","title":"A Fusion of Wavelet-based and Unsupervised Machine Learning Method for Artifacts Removal in Electrodermal Activity Signal","display_name":"A Fusion of Wavelet-based and Unsupervised Machine Learning Method for Artifacts Removal in Electrodermal Activity Signal","publication_year":2022,"publication_date":"2022-10-31","ids":{"openalex":"https://openalex.org/W4323520905","doi":"https://doi.org/10.1109/ieeeconf56349.2022.10052046"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf56349.2022.10052046","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10052046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Lili Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lili Zhu","raw_affiliation_strings":["School of Engineering, University of Guelph,Guelph,ON,Canada","School of Engineering, University of Guelph, Guelph, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph,Guelph,ON,Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011752471","display_name":"Petros Spachos","orcid":"https://orcid.org/0000-0001-8004-0907"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Petros Spachos","raw_affiliation_strings":["School of Engineering, University of Guelph,Guelph,ON,Canada","School of Engineering, University of Guelph, Guelph, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Guelph,Guelph,ON,Canada","institution_ids":["https://openalex.org/I79817857"]},{"raw_affiliation_string":"School of Engineering, University of Guelph, Guelph, ON, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059152392","display_name":"Konstantinos N. Plataniotis","orcid":"https://orcid.org/0000-0003-3647-5473"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Konstantinos N. Plataniotis","raw_affiliation_strings":["University of Toronto,Department of Electrical and Computer Engineering,Toronto,ON,Canada","Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto,Department of Electrical and Computer Engineering,Toronto,ON,Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"455","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9962000250816345,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9616000056266785,"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/computer-science","display_name":"Computer science","score":0.6793762445449829},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5881473422050476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630525350570679},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5125522613525391},{"id":"https://openalex.org/keywords/mental-stress","display_name":"Mental stress","score":0.481130987405777},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.47445353865623474},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4664815068244934},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43054431676864624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3640618920326233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.345833957195282},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22191038727760315},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21560773253440857},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.14477163553237915},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.1400665044784546},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11297568678855896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793762445449829},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5881473422050476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630525350570679},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5125522613525391},{"id":"https://openalex.org/C2984493583","wikidata":"https://www.wikidata.org/wiki/Q3500368","display_name":"Mental stress","level":2,"score":0.481130987405777},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.47445353865623474},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4664815068244934},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43054431676864624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3640618920326233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.345833957195282},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22191038727760315},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21560773253440857},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.14477163553237915},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.1400665044784546},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11297568678855896},{"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf56349.2022.10052046","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf56349.2022.10052046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 56th Asilomar Conference on Signals, Systems, and Computers","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":24,"referenced_works":["https://openalex.org/W2064412622","https://openalex.org/W2146282882","https://openalex.org/W2226811678","https://openalex.org/W2547616654","https://openalex.org/W2611390056","https://openalex.org/W2731964405","https://openalex.org/W2889963422","https://openalex.org/W2917094047","https://openalex.org/W2946526173","https://openalex.org/W2953127026","https://openalex.org/W3003750636","https://openalex.org/W3031136159","https://openalex.org/W3080359996","https://openalex.org/W3115712866","https://openalex.org/W3133520287","https://openalex.org/W3185905465","https://openalex.org/W4205185431","https://openalex.org/W4248179513","https://openalex.org/W4280502099","https://openalex.org/W4292862515","https://openalex.org/W4296082349","https://openalex.org/W4303103946","https://openalex.org/W6689334011","https://openalex.org/W6755534092"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W4294565801","https://openalex.org/W2282215035"],"abstract_inverted_index":{"The":[0,68,195],"fast":[1],"tempo":[2],"of":[3,11,70,95,153,184],"modern":[4],"society":[5],"has":[6,205],"brought":[7],"people":[8,23,79,116],"a":[9,54,158,166],"series":[10],"emotional":[12,45,154,217],"changes":[13,60,74],"and":[14,27,43,47,87,146,168,204,216],"mental":[15,30,119],"pressures.":[16],"Therefore,":[17],"research":[18],"have":[19],"emerged":[20],"to":[21,26,41,180,208],"help":[22,115],"pay":[24],"attention":[25],"regulate":[28,117],"their":[29,118,142],"health.":[31,120],"Physiological":[32],"signals":[33,128,164,190],"are":[34,178],"used":[35],"in":[36,61,98,162,187,211],"studies":[37],"from":[38,191],"different":[39],"fields":[40],"monitor":[42],"detect":[44],"change":[46,155,218],"stress.":[48],"Electrodermal":[49],"activity":[50],"(EDA)":[51],"is":[52,83,165,202],"such":[53,73],"physiological":[55],"signal":[56,175,214],"that":[57,114,198],"can":[58],"reflect":[59],"skin":[62],"conductivity":[63],"when":[64,139],"people's":[65],"emotions":[66],"change.":[67],"nature":[69],"neuromodulation":[71],"makes":[72],"not":[75],"easily":[76],"controlled":[77],"by":[78],"subjectively":[80],"so":[81],"EDA":[82,105,124,163,189,213],"an":[84],"ideal":[85],"emotion":[86],"stress":[88],"monitoring":[89],"indicator.":[90],"Especially":[91],"with":[92,103],"the":[93,99,112,123,147,151,182,188,192,199,206],"popularity":[94],"wearable":[96,101],"devices":[97,102],"market,":[100],"built-in":[104],"sensors":[106],"will":[107,135,149],"be":[108,137,209],"more":[109],"competitive":[110],"for":[111],"functions":[113],"However,":[121],"since":[122],"sensor":[125],"usually":[126],"acquires":[127],"through":[129],"fingers,":[130],"palms,":[131],"or":[132,144],"wrists,":[133],"artifacts":[134,148,161,186],"inevitably":[136],"generated":[138],"users":[140],"move":[141],"hands":[143],"arms,":[145],"affect":[150],"accuracy":[152],"detection.":[156],"As":[157],"result,":[159],"removing":[160,185],"challenging":[167],"important":[169],"topic.":[170],"In":[171],"this":[172],"work,":[173],"multiple":[174],"processing":[176,215],"methods":[177],"applied":[179],"realize":[181],"objective":[183],"AMIGOS":[193],"dataset.":[194],"results":[196],"show":[197],"proposed":[200],"method":[201],"promising":[203],"potential":[207],"utilized":[210],"real-time":[212],"detection":[219],"applications.":[220]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}