{"id":"https://openalex.org/W2296645466","doi":"https://doi.org/10.1109/embc.2015.7318719","title":"EEG error potentials detection and classification using time-frequency features for robot reinforcement learning","display_name":"EEG error potentials detection and classification using time-frequency features for robot reinforcement learning","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2296645466","doi":"https://doi.org/10.1109/embc.2015.7318719","mag":"2296645466","pmid":"https://pubmed.ncbi.nlm.nih.gov/26736619"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7318719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7318719","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":"conference-paper","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/A5074810075","display_name":"Larbi Boubchir","orcid":"https://orcid.org/0000-0002-5668-6801"},"institutions":[{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Larbi Boubchir","raw_affiliation_strings":["University of Paris 8, LIASD research Lab, Saint-Denis, cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Paris 8, LIASD research Lab, Saint-Denis, cedex, France","institution_ids":["https://openalex.org/I48825208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060474857","display_name":"Youcef Touati","orcid":null},"institutions":[{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Youcef Touati","raw_affiliation_strings":["Universite Paris 8, Saint-Denis, FR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite Paris 8, Saint-Denis, FR","institution_ids":["https://openalex.org/I48825208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044161230","display_name":"Boubaker Da\u00e2chi","orcid":"https://orcid.org/0000-0002-8910-517X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boubaker Daachi","raw_affiliation_strings":["UMI3218/CRT, CNRS-AIST Joint Robotics Laboratory (JRL), Tsukuba, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMI3218/CRT, CNRS-AIST Joint Robotics Laboratory (JRL), Tsukuba, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110454657","display_name":"Arab Ali Ch\u00e9rif","orcid":null},"institutions":[{"id":"https://openalex.org/I48825208","display_name":"Universit\u00e9 Paris 8","ror":"https://ror.org/04wez5e68","country_code":"FR","type":"education","lineage":["https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arab Ali Cherif","raw_affiliation_strings":["University of Paris 8, LIASD research Lab, Saint-Denis, cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Paris 8, LIASD research Lab, Saint-Denis, cedex, France","institution_ids":["https://openalex.org/I48825208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6485,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82439848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2015","issue":null,"first_page":"1761","last_page":"1764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9970999956130981,"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/electroencephalography","display_name":"Electroencephalography","score":0.739865779876709},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7345064878463745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896549463272095},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6786194443702698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657548546791077},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5427577495574951},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5003325939178467},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.44371506571769714},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.41405826807022095},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33598971366882324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14641743898391724},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07993385195732117}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.739865779876709},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7345064878463745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896549463272095},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6786194443702698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657548546791077},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5427577495574951},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5003325939178467},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.44371506571769714},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.41405826807022095},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33598971366882324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14641743898391724},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07993385195732117},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D012371","descriptor_name":"Robotics","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2015.7318719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7318719","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:26736619","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26736619","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1528676657","https://openalex.org/W1544436487","https://openalex.org/W1582979162","https://openalex.org/W1978525424","https://openalex.org/W1997564205","https://openalex.org/W2047034898","https://openalex.org/W2078180449","https://openalex.org/W2093743085","https://openalex.org/W2111006420","https://openalex.org/W2118403021","https://openalex.org/W2130245190","https://openalex.org/W2132883551","https://openalex.org/W2165878107","https://openalex.org/W4236173595","https://openalex.org/W6631812308","https://openalex.org/W6634776708"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1969223073"],"abstract_inverted_index":{"In":[0],"thought-based":[1],"steering":[2],"of":[3,56,75,90,99,149,179],"robots,":[4],"error":[5,42],"potentials":[6],"(ErrP)":[7],"can":[8],"appear":[9,38],"when":[10,39],"the":[11,15,24,28,51,73,76,95,119,134,142,146,154,177,180],"action":[12,77],"resulting":[13],"from":[14,141],"brain-machine":[16],"interface":[17],"(BMI)":[18],"classifier/controller":[19],"does":[20],"not":[21,45],"correspond":[22],"to":[23,66,71,81,106,127,196],"user's":[25],"thought.":[26],"Using":[27],"Steady":[29],"State":[30],"Visual":[31],"Evoked":[32],"Potentials":[33],"(SSVEP)":[34],"techniques,":[35],"ErrP,":[36],"which":[37],"a":[40,82,88,110],"classification":[41,61,98,193],"occurs,":[43],"are":[44,125,139],"easily":[46],"recognizable":[47],"by":[48,109],"only":[49],"examining":[50],"temporal":[52],"or":[53],"frequency":[54],"characteristics":[55],"EEG":[57,100,150,173,188,200],"signals.":[58],"A":[59],"supplementary":[60],"process":[62],"is":[63],"therefore":[64],"needed":[65],"identify":[67],"them":[68],"in":[69,102,118,133,145],"order":[70],"stop":[72],"course":[74],"and":[78,97,115,129,152,165,186],"back":[79],"up":[80,195],"recovery":[83],"state.":[84],"This":[85],"paper":[86],"presents":[87],"set":[89],"time-frequency":[91],"(t-f)":[92],"features":[93,124,138,183],"for":[94,184,198],"detection":[96],"ErrP":[101,131,189],"extra-brain":[103],"activities":[104,132],"due":[105],"misclassification":[107],"observed":[108],"user":[111],"exploiting":[112],"non-invasive":[113],"BMI":[114],"robot":[116],"control":[117],"task":[120],"space.":[121],"The":[122,168],"proposed":[123,181],"able":[126],"characterize":[128],"detect":[130],"t-f":[135,147,158,182],"domain.":[136],"These":[137],"derived":[140],"information":[143,159],"embedded":[144],"representation":[148],"signals,":[151],"include":[153],"Instantaneous":[155],"Frequency":[156],"(IF),":[157],"complexity,":[160],"SVD":[161],"information,":[162],"energy":[163],"concentration":[164],"sub-bands'":[166],"energies.":[167],"experiment":[169],"results":[170],"on":[171],"real":[172],"data":[174],"show":[175],"that":[176],"use":[178],"detecting":[185],"classifying":[187],"achieved":[190],"an":[191],"overall":[192],"accuracy":[194],"97%":[197],"50":[199],"segments":[201],"using":[202],"2-class":[203],"SVM":[204],"classifier.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
