{"id":"https://openalex.org/W2534316247","doi":"https://doi.org/10.1109/embc.2016.7591303","title":"EEG-based single-trial detection of errors from multiple error-related brain activity","display_name":"EEG-based single-trial detection of errors from multiple error-related brain activity","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2534316247","doi":"https://doi.org/10.1109/embc.2016.7591303","mag":"2534316247","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268892"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7591303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7591303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th 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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113457621","display_name":"Guofa Shou","orcid":null},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guofa Shou","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101654842","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-2277-267X"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10370684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"2764","last_page":"2767"},"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9958000183105469,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9879999756813049,"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/electroencephalography","display_name":"Electroencephalography","score":0.7004081606864929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6960234642028809},{"id":"https://openalex.org/keywords/stroop-effect","display_name":"Stroop effect","score":0.6191274523735046},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6094226837158203},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5649359226226807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5593083500862122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5544426441192627},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.5188664197921753},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.505174458026886},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5009396076202393},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4424078166484833},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.435940682888031},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4246790111064911},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19292515516281128},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.16927415132522583},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16009655594825745}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7004081606864929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960234642028809},{"id":"https://openalex.org/C162967406","wikidata":"https://www.wikidata.org/wiki/Q384176","display_name":"Stroop effect","level":3,"score":0.6191274523735046},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6094226837158203},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5649359226226807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5593083500862122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5544426441192627},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.5188664197921753},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.505174458026886},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5009396076202393},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4424078166484833},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.435940682888031},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4246790111064911},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19292515516281128},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.16927415132522583},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16009655594825745},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","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":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","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},{"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.2016.7591303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7591303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268892","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268892","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":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1983395577","https://openalex.org/W2022607432","https://openalex.org/W2025113356","https://openalex.org/W2057721041","https://openalex.org/W2075307384","https://openalex.org/W2099860203","https://openalex.org/W2100520672","https://openalex.org/W2102514937","https://openalex.org/W2104051680","https://openalex.org/W2143605825","https://openalex.org/W2148143831","https://openalex.org/W2148173290","https://openalex.org/W2156539308","https://openalex.org/W6664838477"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W4241390462","https://openalex.org/W1970555053","https://openalex.org/W2053629062","https://openalex.org/W2057396539","https://openalex.org/W3205260276","https://openalex.org/W1994410349","https://openalex.org/W4252230435","https://openalex.org/W2146473982"],"abstract_inverted_index":{"A":[0],"key":[1],"ability":[2],"of":[3,31,38,70,77,95,98,186,191,196,202,215],"the":[4,29,88,93,152,212,223,237,264,278],"human":[5],"brain":[6,23,33,64,164,266],"is":[7,230,281],"to":[8,26,66,222],"monitor":[9],"erroneous":[10],"events":[11],"and":[12,17,50,56,104,126,156,183,194,250],"adjust":[13],"behaviors":[14],"accordingly.":[15],"Electrophysiological":[16],"neuroimaging":[18],"studies":[19],"have":[20],"demonstrated":[21],"different":[22,96],"activities":[24],"related":[25],"errors.":[27,67],"Meanwhile,":[28],"recognition":[30],"error-related":[32,163],"activity":[34,165],"as":[35,73,75,220],"one":[36,239],"aspect":[37],"performance":[39,94,175,214],"monitoring":[40],"has":[41],"been":[42],"reported":[43],"for":[44,84,107],"potential":[45],"applications":[46,275],"in":[47,101,111,161,217,247,258,273],"clinical":[48],"neuroscience":[49],"brain-machine":[51],"interface,":[52],"where":[53],"single-trial":[54,78,167,218],"analysis":[55,142],"classification":[57],"would":[58],"provide":[59],"novel":[60],"insights":[61],"on":[62],"dynamic":[63],"responses":[65],"However,":[68,198],"procedures":[69,76],"selecting":[71],"features,":[72,188],"well":[74],"classification,":[79],"are":[80],"not":[81,282],"fully":[82],"investigated":[83,92],"optimal":[85],"performance.":[86],"In":[87],"present":[89],"study,":[90],"we":[91,122],"configurations":[97],"feature":[99],"extractions":[100],"both":[102,124,248],"temporal":[103,125,249],"frequency":[105,127,184,251],"domains,":[106],"discriminating":[108],"response":[109],"errors":[110,216,246,260],"a":[112,199],"color-word":[113],"matching":[114],"Stroop":[115],"task.":[116],"Motivated":[117],"by":[118,179],"our":[119],"previous":[120],"investigations,":[121],"evaluated":[123],"features":[128,203],"with":[129],"component":[130,141,145,206],"signals,":[131],"which":[132,268],"were":[133,159],"obtained":[134],"from":[135,151,166,204,261],"EEG":[136,168,262],"signals":[137,146,207],"via":[138],"an":[139],"independent":[140],"(ICA).":[143],"Five":[144],"(independent":[147],"components,":[148],"ICs),":[149],"originated":[150],"frontal,":[153],"motor,":[154],"parietal,":[155],"occipital":[157],"areas,":[158,267],"included":[160],"detecting":[162,259],"data.":[169],"The":[170,253],"results":[171],"showed":[172],"that":[173,232,277],"better":[174],"can":[176,208],"be":[177,270],"achieved":[178],"optimizing":[180],"time":[181],"window":[182],"range":[185],"selected":[187],"sampling":[189],"scheme":[190],"feature-related":[192],"data,":[193],"training":[195],"classifiers.":[197],"simple":[200],"combination":[201],"multiple":[205],"only":[209],"slightly":[210],"improve":[211],"detection":[213],"data":[219],"compared":[221],"frontal":[224,238,265,279],"IC":[225],"only.":[226],"More":[227],"importantly,":[228],"it":[229],"indicated":[231],"four":[233],"ICs":[234],"other":[235],"than":[236],"also":[240],"carry":[241],"similar":[242],"discriminative":[243],"information":[244],"about":[245],"domains.":[252],"fact":[254],"suggests":[255],"flexible":[256],"means":[257],"beyond":[263],"might":[269],"very":[271],"valuable":[272],"practical":[274],"such":[276],"area":[280],"accessible.":[283]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}