{"id":"https://openalex.org/W2772676597","doi":"https://doi.org/10.1109/jbhi.2017.2780252","title":"Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution","display_name":"Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution","publication_year":2017,"publication_date":"2017-12-06","ids":{"openalex":"https://openalex.org/W2772676597","doi":"https://doi.org/10.1109/jbhi.2017.2780252","mag":"2772676597","pmid":"https://pubmed.ncbi.nlm.nih.gov/29990244"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2017.2780252","doi":"https://doi.org/10.1109/jbhi.2017.2780252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2780252","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,"listed_in":["ccf-c","cwts-core","dongbi-a","doyens","jufo-2","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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"},"volume":null,"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/A5039561167","display_name":"Francisco Hernando-Gallego","orcid":"https://orcid.org/0000-0003-2995-138X","observed_orcids":["https://orcid.org/0000-0003-2995-138X"]},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Hernando-Gallego","raw_affiliation_strings":["Universidad Carlos III de Madrid, Madrid, Madrid, ES"],"raw_orcid":"https://orcid.org/0000-0003-2995-138X","affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Madrid, Madrid, ES","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084123747","display_name":"David Luengo","orcid":"https://orcid.org/0000-0001-7407-3630","observed_orcids":["https://orcid.org/0000-0001-7407-3630"]},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Luengo","raw_affiliation_strings":["Universidad Politecnica de Madrid, Madrid, Comunidad de Madrid, ES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Politecnica de Madrid, Madrid, Comunidad de Madrid, ES","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074635079","display_name":"Antonio Art\u00e9s-Rodr\u0131\u0301guez","orcid":"https://orcid.org/0000-0001-6540-7109","observed_orcids":["https://orcid.org/0000-0001-6540-7109"]},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Artes-Rodriguez","raw_affiliation_strings":["Universidad Carlos III de Madrid, Madrid, Madrid, ES"],"raw_orcid":"https://orcid.org/0000-0001-6540-7109","affiliations":[{"raw_affiliation_string":"Universidad Carlos III de Madrid, Madrid, Madrid, ES","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":6.3685,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.96344283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"1385","last_page":"1394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6445000171661377,"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":0.6445000171661377,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.20890000462532043,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.031300000846385956,"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/skin-conductance","display_name":"skin conductance","score":0.9980000257492065},{"id":"https://openalex.org/keywords/electrodermal-activity","display_name":"electrodermal activity","score":0.9919999837875366},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9369999766349792},{"id":"https://openalex.org/keywords/skin-conductance-level","display_name":"skin conductance level","score":0.9570000171661377},{"id":"https://openalex.org/keywords/skin-conductance-response","display_name":"skin conductance response","score":0.9739999771118164},{"id":"https://openalex.org/keywords/wearable-sensors","display_name":"wearable sensors","score":0.8650000095367432},{"id":"https://openalex.org/keywords/ambulatory-monitoring","display_name":"ambulatory monitoring","score":0.796999990940094}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7121459245681763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6971840858459473},{"id":"https://openalex.org/C111902132","wikidata":"https://www.wikidata.org/wiki/Q1326834","display_name":"Skin conductance","level":2,"score":0.6746770739555359},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6565685868263245},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6160084009170532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471488833427429},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5246118307113647},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4958132207393646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14611473679542542},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13053667545318604},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":"D013564","descriptor_name":"Sympathetic Nervous System","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2017.2780252","doi":"https://doi.org/10.1109/jbhi.2017.2780252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2780252","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,"listed_in":["ccf-c","cwts-core","dongbi-a","doyens","jufo-2","ki-jl-2","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"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:29990244","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29990244","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,"listed_in":[],"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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.504800021648407}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5218671702","display_name":null,"funder_award_id":"S2013/ICE2845","funder_id":"https://openalex.org/F4320313831","funder_display_name":"Comunidad de Madrid"}],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W153594428","https://openalex.org/W331957638","https://openalex.org/W1239497932","https://openalex.org/W1510429593","https://openalex.org/W1591116419","https://openalex.org/W1594278800","https://openalex.org/W1647335493","https://openalex.org/W1977641729","https://openalex.org/W1981395202","https://openalex.org/W2006435875","https://openalex.org/W2022192849","https://openalex.org/W2024142856","https://openalex.org/W2027055759","https://openalex.org/W2052107039","https://openalex.org/W2062914254","https://openalex.org/W2063978378","https://openalex.org/W2093540104","https://openalex.org/W2120339204","https://openalex.org/W2135046866","https://openalex.org/W2144408839","https://openalex.org/W2167801237","https://openalex.org/W2171801645","https://openalex.org/W2183800515","https://openalex.org/W2276264306","https://openalex.org/W2294683276","https://openalex.org/W2339153830","https://openalex.org/W2425166610","https://openalex.org/W2953127026","https://openalex.org/W4235713725","https://openalex.org/W4285719527","https://openalex.org/W6686399407"],"related_works":["https://openalex.org/W2984820375","https://openalex.org/W2276264306","https://openalex.org/W7033540306","https://openalex.org/W3160087873","https://openalex.org/W3118032084","https://openalex.org/W2537867015","https://openalex.org/W6977747848","https://openalex.org/W4220904967","https://openalex.org/W2041172791","https://openalex.org/W3167332943"],"abstract_inverted_index":{"Wearable":[0],"sensors":[1],"are":[2],"increasingly":[3],"taking":[4],"part":[5],"in":[6,24,41],"daily":[7],"activities,":[8],"not":[9],"only":[10],"because":[11],"of":[12,61,79,120,125,140],"the":[13,25,62,80,87,95,118,121,126,137,141],"recent":[14],"society":[15],"health":[16,57],"concern,":[17],"but":[18],"also":[19],"due":[20],"to":[21,43,104,117],"their":[22],"relevance":[23],"medical":[26],"industry.":[27],"In":[28],"this":[29],"paper,":[30],"a":[31,66,75,148],"galvanic":[32],"skin":[33,96],"response":[34],"(GSR)":[35],"extraction":[36,69],"technique":[37],"has":[38,144],"been":[39,145],"developed":[40],"order":[42],"interpret":[44],"electrodermal":[45],"activity":[46],"(EDA)":[47],"records,":[48],"which":[49,143],"can":[50],"be":[51],"useful":[52],"both":[53],"for":[54],"ambulatory":[55],"and":[56,99,110,113],"applications.":[58],"The":[59],"core":[60],"proposed":[63],"approach":[64],"is":[65,72,91],"novel":[67],"feature":[68],"scheme":[70],"that":[71],"based":[73],"on":[74,129],"nonnegative":[76],"sparse":[77],"deconvolution":[78],"observed":[81],"GSR":[82],"signals.":[83],"Unlike":[84],"previous":[85],"approaches,":[86],"resulting":[88],"SparsEDA":[89],"algorithm":[90],"fast":[92],"(immediately":[93],"extracting":[94],"conductance":[97],"level":[98],"response),":[100],"efficient":[101],"(being":[102],"able":[103],"work":[105],"with":[106],"any":[107],"sampling":[108],"rate":[109],"signal":[111],"length),":[112],"highly":[114],"interpretable":[115],"(due":[116],"sparsity":[119],"extracted":[122],"phasic":[123],"component":[124],"GSR).":[127],"Results":[128],"real":[130],"data":[131],"from":[132],"100":[133],"different":[134],"subjects":[135],"confirm":[136],"good":[138],"performance":[139],"method,":[142],"released":[146],"through":[147],"free":[149],"web-based":[150],"code":[151],"repository.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2017-12-22T00:00:00"}