{"id":"https://openalex.org/W2756478906","doi":"https://doi.org/10.1109/embc.2017.8036846","title":"Muscle fatigue assessment through electrodermal activity analysis during isometric contraction","display_name":"Muscle fatigue assessment through electrodermal activity analysis during isometric contraction","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2756478906","doi":"https://doi.org/10.1109/embc.2017.8036846","mag":"2756478906","pmid":"https://pubmed.ncbi.nlm.nih.gov/29059894"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8036846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8036846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th 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":"https://ieeexplore.ieee.org/document/8036846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088619985","display_name":"Alberto Greco","orcid":"https://orcid.org/0000-0002-4822-5562"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alberto Greco","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018164774","display_name":"Andrea Guidi","orcid":"https://orcid.org/0000-0003-2978-5705"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Guidi","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103781181","display_name":"Federica Felici","orcid":null},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federica Felici","raw_affiliation_strings":["Advanced Robotics Department, Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Advanced Robotics Department, Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000747225","display_name":"Andrea Leo","orcid":"https://orcid.org/0000-0002-1948-6608"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Leo","raw_affiliation_strings":["IMT School for Advanced Studies Lucca, Lucca, Italy"],"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026710897","display_name":"Emiliano Ricciardi","orcid":"https://orcid.org/0000-0002-7178-9534"},"institutions":[{"id":"https://openalex.org/I127077003","display_name":"IMT School for Advanced Studies Lucca","ror":"https://ror.org/035gh3a49","country_code":"IT","type":"education","lineage":["https://openalex.org/I127077003"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emiliano Ricciardi","raw_affiliation_strings":["IMT School for Advanced Studies Lucca, Lucca, Italy"],"affiliations":[{"raw_affiliation_string":"IMT School for Advanced Studies Lucca, Lucca, Italy","institution_ids":["https://openalex.org/I127077003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004273214","display_name":"Matteo Bianchi","orcid":"https://orcid.org/0000-0003-4747-1697"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Bianchi","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082180334","display_name":"Antonio Bicchi","orcid":"https://orcid.org/0000-0001-8635-5571"},"institutions":[{"id":"https://openalex.org/I30771326","display_name":"Italian Institute of Technology","ror":"https://ror.org/042t93s57","country_code":"IT","type":"facility","lineage":["https://openalex.org/I30771326"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Bicchi","raw_affiliation_strings":["Advanced Robotics Department, Istituto Italiano di Tecnologia (IIT), Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Advanced Robotics Department, Istituto Italiano di Tecnologia (IIT), Genova, Italy","institution_ids":["https://openalex.org/I30771326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015204022","display_name":"Luca Citi","orcid":"https://orcid.org/0000-0001-8702-5654"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Luca Citi","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041459422","display_name":"Gaetano Valenza","orcid":"https://orcid.org/0000-0001-6574-1879"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gaetano Valenza","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007174065","display_name":"Enzo Pasquale Scilingo","orcid":"https://orcid.org/0000-0003-2588-4917"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enzo Pasquale Scilingo","raw_affiliation_strings":["Department of Information Engineering, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5088619985"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.54853209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2017","issue":null,"first_page":"398","last_page":"401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9991999864578247,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9944000244140625,"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/isometric-exercise","display_name":"Isometric exercise","score":0.8955584764480591},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.7921615839004517},{"id":"https://openalex.org/keywords/biceps","display_name":"Biceps","score":0.6080464124679565},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.5946176648139954},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.4319901466369629},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.4314665198326111},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4298032820224762},{"id":"https://openalex.org/keywords/muscle-contraction","display_name":"Muscle contraction","score":0.41418135166168213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3889339566230774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3675156831741333},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3250364363193512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32282155752182007},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32102063298225403},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30256354808807373},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.20530849695205688},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19915086030960083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16182729601860046},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09592881798744202}],"concepts":[{"id":"https://openalex.org/C103486182","wikidata":"https://www.wikidata.org/wiki/Q1216236","display_name":"Isometric exercise","level":2,"score":0.8955584764480591},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.7921615839004517},{"id":"https://openalex.org/C2781425419","wikidata":"https://www.wikidata.org/wiki/Q201363","display_name":"Biceps","level":2,"score":0.6080464124679565},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.5946176648139954},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.4319901466369629},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.4314665198326111},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4298032820224762},{"id":"https://openalex.org/C2776050358","wikidata":"https://www.wikidata.org/wiki/Q127006","display_name":"Muscle contraction","level":2,"score":0.41418135166168213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3889339566230774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3675156831741333},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3250364363193512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32282155752182007},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32102063298225403},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30256354808807373},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.20530849695205688},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19915086030960083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16182729601860046},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09592881798744202}],"mesh":[{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005712","descriptor_name":"Galvanic Skin Response","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007537","descriptor_name":"Isometric Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007537","descriptor_name":"Isometric Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007537","descriptor_name":"Isometric Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009119","descriptor_name":"Muscle Contraction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018482","descriptor_name":"Muscle, Skeletal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018763","descriptor_name":"Muscle Fatigue","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018763","descriptor_name":"Muscle Fatigue","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018763","descriptor_name":"Muscle Fatigue","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2017.8036846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8036846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29059894","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29059894","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:arpi.unipi.it:11568/882459","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/8036846","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arpi.unipi.it:11568/882459","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/8036846","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W116926914","https://openalex.org/W629053621","https://openalex.org/W1239497932","https://openalex.org/W1517347297","https://openalex.org/W1593677537","https://openalex.org/W1960343695","https://openalex.org/W1980135108","https://openalex.org/W1982745890","https://openalex.org/W1984427077","https://openalex.org/W1985189627","https://openalex.org/W2002499457","https://openalex.org/W2004230236","https://openalex.org/W2016284881","https://openalex.org/W2027309689","https://openalex.org/W2043169478","https://openalex.org/W2066344774","https://openalex.org/W2069561747","https://openalex.org/W2079155753","https://openalex.org/W2083773011","https://openalex.org/W2107387209","https://openalex.org/W2109557657","https://openalex.org/W2117645142","https://openalex.org/W2120339204","https://openalex.org/W2141987212","https://openalex.org/W2161556734","https://openalex.org/W2165453261","https://openalex.org/W2244176684","https://openalex.org/W2283767153","https://openalex.org/W2329439512","https://openalex.org/W2330691678","https://openalex.org/W2395858756","https://openalex.org/W2486143720","https://openalex.org/W2486424409","https://openalex.org/W2489950462","https://openalex.org/W2547616654","https://openalex.org/W2953127026","https://openalex.org/W6604746424"],"related_works":["https://openalex.org/W2364553218","https://openalex.org/W1494721245","https://openalex.org/W2334954599","https://openalex.org/W2159324317","https://openalex.org/W2014685387","https://openalex.org/W2198027582","https://openalex.org/W2050438467","https://openalex.org/W4385561950","https://openalex.org/W3182294250","https://openalex.org/W2441671583"],"abstract_inverted_index":{"We":[0],"studied":[1],"the":[2,8,17,52,80,97,108,134,147,152],"effects":[3],"of":[4,33,83,129,136,140],"muscle":[5,41,141],"fatigue":[6,42],"on":[7,21],"Autonomic":[9],"Nervous":[10],"System":[11],"(ANS)":[12],"dynamics.":[13,75],"Specifically,":[14],"we":[15],"monitored":[16],"electrodermal":[18],"activity":[19],"(EDA)":[20],"32":[22],"healthy":[23],"subjects":[24,39,84],"performing":[25],"isometric":[26],"biceps":[27],"contraction.":[28],"As":[29],"assessed":[30],"by":[31],"means":[32],"an":[34,127],"electromyography":[35],"(EMG)":[36],"analysis,":[37],"15":[38],"showed":[40,126],"and":[43,65,68,118],"17":[44],"did":[45],"not.":[46],"EDA":[47,92,109,137],"signals":[48],"were":[49],"analyzed":[50],"using":[51],"recently":[53],"proposed":[54,122],"cvxEDA":[55],"model":[56],"in":[57,96,111],"order":[58,112],"to":[59,72,107,113,146],"decompose":[60],"them":[61],"into":[62],"their":[63],"phasic":[64,91],"tonic":[66],"components":[67],"extract":[69],"effective":[70],"features":[71,93],"study":[73],"ANS":[74],"A":[76],"statistical":[77],"comparison":[78],"between":[79,116],"two":[81],"groups":[82],"was":[85,105],"performed.":[86],"Results":[87],"revealed":[88],"that":[89],"relevant":[90],"significantly":[94],"increased":[95],"fatigued":[98,117],"group.":[99],"Moreover,":[100],"a":[101],"pattern":[102],"recognition":[103],"system":[104],"applied":[106],"dataset":[110],"automatically":[114],"discriminate":[115],"non-fatigued":[119],"subjects.":[120],"The":[121],"leave-one-subject-out":[123],"KNN":[124],"classifier":[125],"accuracy":[128],"75.69%.":[130],"These":[131],"results":[132],"suggest":[133],"use":[135],"as":[138],"correlate":[139],"fatigue,":[142],"providing":[143],"integrative":[144],"information":[145],"standard":[148],"indices":[149],"extracted":[150],"from":[151],"EMG":[153],"signals.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
