{"id":"https://openalex.org/W4391331277","doi":"https://doi.org/10.1109/smc53992.2023.10394322","title":"Analyzing the Importance of EEG Channels for Internal and External Attention Detection","display_name":"Analyzing the Importance of EEG Channels for Internal and External Attention Detection","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4391331277","doi":"https://doi.org/10.1109/smc53992.2023.10394322"},"language":"en","primary_location":{"id":"doi:10.1109/smc53992.2023.10394322","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5010913778","display_name":"Felix Putze","orcid":"https://orcid.org/0000-0001-5203-8797"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felix Putze","raw_affiliation_strings":["University of Bremen,Cognitive Systems Lab,Bremen,Germany","Cognitive Systems Lab, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen,Cognitive Systems Lab,Bremen,Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026397920","display_name":"Hendrik Eilts","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hendrik Eilts","raw_affiliation_strings":["University of Bremen,Cognitive Systems Lab,Bremen,Germany","Cognitive Systems Lab, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bremen,Cognitive Systems Lab,Bremen,Germany","institution_ids":["https://openalex.org/I180437899"]},{"raw_affiliation_string":"Cognitive Systems Lab, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3255,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59468511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4752","last_page":"4757"},"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/T10241","display_name":"Functional Brain Connectivity Studies","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"}},{"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":0.6949962973594666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079097986221313},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5749945044517517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5340510606765747},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5327981114387512},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.516058623790741},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.47950512170791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.472420334815979},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4645497500896454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3620874285697937},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.28735655546188354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26322120428085327},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.171833336353302},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08517515659332275}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6949962973594666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079097986221313},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5749945044517517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5340510606765747},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5327981114387512},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.516058623790741},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.47950512170791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.472420334815979},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4645497500896454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3620874285697937},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28735655546188354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26322120428085327},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.171833336353302},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08517515659332275},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53992.2023.10394322","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/smc53992.2023.10394322","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1978856977","display_name":"FOR 5347: KIFOR Lifespan AI: Von longitudinalen Gesundheitsdaten zur Inferenz im Lebensverlauf","funder_award_id":"459360854","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1877153489","https://openalex.org/W2061533263","https://openalex.org/W2082290707","https://openalex.org/W2102636708","https://openalex.org/W2126728600","https://openalex.org/W2146428413","https://openalex.org/W2148308025","https://openalex.org/W2162095066","https://openalex.org/W2294936114","https://openalex.org/W2536935255","https://openalex.org/W2742951402","https://openalex.org/W2794345050","https://openalex.org/W2794783191","https://openalex.org/W2911964244","https://openalex.org/W2919045524","https://openalex.org/W2962862931","https://openalex.org/W2970858319","https://openalex.org/W2975985722","https://openalex.org/W2979621265","https://openalex.org/W2979621981","https://openalex.org/W2998984254","https://openalex.org/W3019840411","https://openalex.org/W3081486610","https://openalex.org/W3168620321","https://openalex.org/W3175596362","https://openalex.org/W3179461162","https://openalex.org/W4220918544","https://openalex.org/W4221124157","https://openalex.org/W4229019218","https://openalex.org/W4281740372","https://openalex.org/W4293194544","https://openalex.org/W4309344694","https://openalex.org/W4320494161"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W3135126032","https://openalex.org/W2130428257","https://openalex.org/W2236178445","https://openalex.org/W2010456997"],"abstract_inverted_index":{"For":[0,137],"Brain-Computer":[1,281],"Interfaces":[2],"to":[3,38,93,121,144,152,161,175,184,198,209,269],"be":[4,122],"affordable":[5],"and":[6,18,45,63,83,134,262,279],"efficient,":[7],"it":[8],"is":[9],"worth":[10],"analyzing":[11],"the":[12,20,69,75,78,85,95,105,111,116,123,131,138,146,156,164,169,179,187,192,204,214,230,241,275,284,290],"importance":[13,36,70,96,217,267],"of":[14,71,91,148,171,194,213,232,243,246,258,264,277],"individual":[15,215],"EEG":[16,72,255],"channels":[17,92,129,149,172,195,233],"finding":[19],"smallest":[21],"subset":[22],"that":[23,229],"still":[24],"provides":[25],"adequate":[26],"results.":[27],"In":[28,163,186],"this":[29],"work,":[30],"we":[31,141,167,190,227],"applied":[32],"five":[33],"different":[34,40,89],"feature":[35,216,266],"approaches":[37],"three":[39],"datasets":[41],"focused":[42],"on":[43,110],"internally":[44],"externally":[46],"directed":[47],"attention.":[48],"The":[49,98,211,251],"methods":[50,218,268],"used":[51],"were:":[52],"Random":[53],"Forest":[54],"Importance,":[55,59],"Mutual":[56],"Information,":[57],"Permutation":[58],"Shapley":[60],"Additive":[61],"Explanations,":[62],"an":[64],"Ablation":[65],"Study.":[66],"We":[67],"determined":[68],"channels,":[73,256],"compared":[74],"results":[76,99,212],"among":[77],"algorithms":[79],"through":[80],"correlation":[81],"analysis,":[82],"evaluated":[84],"classification":[86],"performance":[87],"using":[88],"subsets":[90],"validate":[94],"rankings.":[97],"indicate":[100],"that,":[101],"in":[102,254,289],"line":[103],"with":[104,115,223],"existing":[106],"literature,":[107],"electrodes":[108],"located":[109],"right":[112],"parietal":[113,133],"cortex":[114],"alpha":[117],"frequency":[118],"band":[119],"appear":[120],"most":[124],"important,":[125],"followed":[126],"by":[127],"several":[128],"covering":[130],"left":[132],"frontal":[135],"lobes.":[136],"first":[139],"dataset,":[140,166,189],"were":[142],"able":[143],"reduce":[145],"number":[147,170,193],"from":[150,158,173,181,196,206],"32":[151],"2":[153],"while":[154,177,200],"increasing":[155],"accuracy":[157,180,205],"approximately":[159,182,207],"60%":[160,208],"62%.":[162],"second":[165],"reduced":[168,191],"12":[174],"1":[176,199],"improving":[178],"59.5%":[183],"64%.":[185],"third":[188],"19":[197],"only":[201],"slightly":[202],"decreasing":[203],"58.5%.":[210],"generally":[219],"exhibit":[220],"positive":[221],"correlations":[222],"each":[224],"other.":[225],"Furthermore,":[226],"demonstrated":[228],"rankings":[231],"between":[234],"subjects":[235],"are":[236],"largely":[237],"positively":[238],"correlated,":[239],"suggesting":[240],"presence":[242],"shared":[244],"patterns":[245],"neural":[247],"activity":[248],"across":[249],"subjects.":[250],"substantial":[252],"reduction":[253],"identification":[257],"crucial":[259],"brain":[260],"regions":[261],"application":[263],"channel":[265],"internal/external":[270],"attention":[271],"data,":[272],"collectively":[273],"advance":[274],"development":[276],"cost-effective":[278],"efficient":[280],"Interfaces,":[282],"paving":[283],"way":[285],"for":[286],"future":[287],"advancements":[288],"field.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}