{"id":"https://openalex.org/W4366376876","doi":"https://doi.org/10.1109/icicacs57338.2023.10099996","title":"The Application of Machine Learning Algorithms to the Classification of EEG Signals","display_name":"The Application of Machine Learning Algorithms to the Classification of EEG Signals","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4366376876","doi":"https://doi.org/10.1109/icicacs57338.2023.10099996"},"language":"en","primary_location":{"id":"doi:10.1109/icicacs57338.2023.10099996","doi":"https://doi.org/10.1109/icicacs57338.2023.10099996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icicacs57338.2023.10099996","pdf_url":null,"source":{"id":"https://openalex.org/S7407088986","display_name":"International Conference on Integrated Circuits and Communication Systems (ICICACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5009531144","display_name":"Sasikumar Gurumoorthy","orcid":"https://orcid.org/0000-0002-9043-8828","observed_orcids":["https://orcid.org/0000-0002-9043-8828"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sasikumar Gurumoorthy","raw_affiliation_strings":["J.J.College of Engineering and Technology,Department of Computer Science and Engineering,Trichy,India","Department of Computer Science and Engineering, J.J.College of Engineering and Technology, Trichy, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"J.J.College of Engineering and Technology,Department of Computer Science and Engineering,Trichy,India","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering, J.J.College of Engineering and Technology, Trichy, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110970076","display_name":"Saritha Avikkal","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saritha Avikkal","raw_affiliation_strings":["GITAM School of Technology GITAM University,Department of Computer Science & Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GITAM School of Technology GITAM University,Department of Computer Science & Engineering,India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071349564","display_name":"M Rani","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rani M","raw_affiliation_strings":["Hyderabad Institute of Technology and Management,Department of Electronics and Communication Engineering,Telangana,India","Department of Electronics and Communication Engineering, Hyderabad Institute of Technology and Management, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hyderabad Institute of Technology and Management,Department of Electronics and Communication Engineering,Telangana,India","institution_ids":[]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Hyderabad Institute of Technology and Management, Telangana, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055219842","display_name":"K. Radha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Radha","raw_affiliation_strings":["K L University, Vadeeshwaram,Department of Computer Science & Engineering,Vijayawada,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K L University, Vadeeshwaram,Department of Computer Science & Engineering,Vijayawada,India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101925429","display_name":"N Rajesh","orcid":"https://orcid.org/0000-0002-7576-8220","observed_orcids":["https://orcid.org/0000-0002-7576-8220"]},"institutions":[{"id":"https://openalex.org/I4405268608","display_name":"Nitte Meenakshi Institute of Technology","ror":"https://ror.org/01h4k6h92","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405268608"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh N","raw_affiliation_strings":["Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India","Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I4405268608"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, India","institution_ids":["https://openalex.org/I4405268608"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0687,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84502924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9965999722480774,"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":0.9965999722480774,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.9739999771118164},{"id":"https://openalex.org/keywords/cognitive-state-assessment","display_name":"cognitive state assessment","score":0.8970000147819519},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.7099999785423279},{"id":"https://openalex.org/keywords/harmony-search-algorithm","display_name":"harmony search algorithm","score":0.6700000166893005},{"id":"https://openalex.org/keywords/channel-selection","display_name":"channel selection","score":0.75},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"motor imagery","score":0.8859999775886536},{"id":"https://openalex.org/keywords/attention","display_name":"attention","score":0.718999981880188},{"id":"https://openalex.org/keywords/working-memory","display_name":"working memory","score":0.9919999837875366},{"id":"https://openalex.org/keywords/mental-fatigue","display_name":"mental fatigue","score":0.996999979019165},{"id":"https://openalex.org/keywords/attention-deficit-hyperactivity-disorder","display_name":"attention deficit hyperactivity disorder","score":0.843999981880188},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.7839999794960022},{"id":"https://openalex.org/keywords/generalizability","display_name":"generalizability","score":0.8349999785423279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009190320968628},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6614004373550415},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6129578351974487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122806668281555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6084961295127869},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5580014586448669},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5244833827018738},{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.4762030839920044},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4709545075893402},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.45363080501556396},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.44394317269325256},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20279449224472046},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1295466423034668},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icicacs57338.2023.10099996","doi":"https://doi.org/10.1109/icicacs57338.2023.10099996","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icicacs57338.2023.10099996","pdf_url":null,"source":{"id":"https://openalex.org/S7407088986","display_name":"International Conference on Integrated Circuits and Communication Systems (ICICACS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2024482587","https://openalex.org/W2099169745","https://openalex.org/W2117740474","https://openalex.org/W2584131488","https://openalex.org/W2768189107","https://openalex.org/W3003074332","https://openalex.org/W3034463771","https://openalex.org/W3036712625","https://openalex.org/W3208539696","https://openalex.org/W4200123695","https://openalex.org/W4200137509","https://openalex.org/W4211148577","https://openalex.org/W4223902852","https://openalex.org/W4229457007","https://openalex.org/W4282004311","https://openalex.org/W4312578036"],"related_works":["https://openalex.org/W6948258394","https://openalex.org/W2953360276","https://openalex.org/W4396712424","https://openalex.org/W4392561144","https://openalex.org/W4385689176","https://openalex.org/W7218199633","https://openalex.org/W3094276652","https://openalex.org/W7223061242","https://openalex.org/W4401839846","https://openalex.org/W7215095682"],"abstract_inverted_index":{"In":[0,218,377],"order":[1,219,289,369],"to":[2,23,26,57,140,152,190,196,220,236,270,290,309,329,370],"study":[3],"cognitive":[4,15,90,103,180,224,297,382],"states":[5],"and":[6,12,68,121,125,146,272,278,317,321],"detect":[7],"deficiencies":[8],"in":[9,30,41,106,156,162,176,215,223,288,294,360,368],"thinking,":[10],"planning,":[11],"judgement,":[13],"automated":[14],"assessment":[16,299],"systems":[17],"have":[18,45,112,171],"been":[19],"developed.":[20],"Having":[21],"access":[22],"the":[24,54,107,141,177,199,243,248,295,324,331,342,351,361,372,378],"opportunity":[25],"collaborate":[27],"with":[28,115],"experts":[29],"their":[31],"working":[32,64],"environment":[33],"is":[34,83,194,253,257,269,387],"another":[35],"benefit":[36],"of":[37,128,131,138,143,179,210,239,242,250,260,265,284,375,381],"these":[38,89,169,187,292],"platforms,":[39],"particularly":[40],"services":[42],"where":[43],"decisions":[44],"direct":[46],"effects":[47],"on":[48,229],"people's":[49],"lives.":[50],"This":[51,182],"dissertation":[52],"assesses":[53],"brain's":[55],"reaction":[56],"mental":[58,66,307],"tasks":[59],"including":[60],"motor":[61,310],"imagery,":[62,311],"attention,":[63],"memory,":[65],"fatigue,":[67],"attention":[69],"deficit":[70],"hyperactivity":[71],"disorder":[72],"(ADHD).":[73],"Electroencephalography":[74],"(EEG),":[75],"which":[76],"encodes":[77],"neuron":[78],"activity":[79],"as":[80,345,347],"action":[81],"potentials,":[82],"a":[84,205],"popular":[85],"method":[86],"for":[87,166,198,204],"analyzing":[88],"functions.":[91],"These":[92],"EEG":[93,163],"data":[94],"are":[95,133,234,358],"processed":[96],"using":[97],"state-of-the-art":[98,110],"machine":[99],"learning":[100],"algorithms,":[101],"automating":[102],"ability":[104],"testing":[105],"process.":[108],"Recent":[109],"approaches":[111,189,287],"shown":[113],"problems":[114,149,222,245,293],"high":[116],"dimensionality,":[117],"irrelevant":[118],"channels,":[119],"subject":[120],"task":[122],"variability,":[123],"generalizability,":[124],"interpretability.":[126],"Because":[127],"this,":[129],"classifications":[130],"intelligence":[132,191],"often":[134],"inaccurate.":[135],"The":[136,262,335],"use":[137,283,323],"meta-heuristics":[139,188],"solution":[142],"both":[144],"continuous":[145],"binary":[147],"optimization":[148,202,231,286,327],"was":[150],"found":[151],"be":[153],"very":[154,173],"fruitful":[155],"this":[157,226,266,385],"scenario.":[158],"Despite":[159],"increased":[160],"performance":[161],"signal":[164],"processing":[165],"other":[167],"applications,":[168],"methods":[170],"seen":[172],"little":[174],"exploration":[175],"field":[178],"evaluation.":[181],"encourages":[183],"more":[184],"research":[185,227],"into":[186],"testing.":[192],"It":[193],"important":[195,353],"look":[197],"most":[200,332,352],"appropriate":[201],"strategy":[203],"certain":[206],"task,":[207],"since":[208],"all":[209],"them":[211],"will":[212],"not":[213],"work":[214,268],"every":[216],"circumstance.":[217],"address":[221],"testing,":[225],"looks":[228],"parameter-free":[230],"algorithms":[232],"that":[233,246],"tailored":[235],"each":[237],"kind":[238],"test.":[240],"One":[241],"main":[244],"hinders":[247],"effectiveness":[249],"ML":[251],"models":[252],"its":[254,258],"dimensionality.":[255],"Another":[256],"lack":[259],"generalizability.":[261],"overarching":[263],"goal":[264],"proposed":[267],"build":[271],"construct":[273],"an":[274],"effective":[275],"channel":[276],"selection":[277,280,338],"feature":[279,337],"model":[281],"making":[282],"meta-heuristic":[285],"solve":[291],"various":[296],"state":[298],"applications":[300],"addressed":[301],"thus":[302],"far.":[303],"To":[304],"properly":[305],"classify":[306],"reactions":[308],"we":[312,322],"suggest":[313],"employing":[314],"sub-band":[315],"wavelets":[316],"relative":[318],"PSD":[319],"features,":[320],"harmony":[325],"search":[326],"technique":[328],"identify":[330],"useful":[333],"features.":[334],"suggested":[336,362],"approach":[339],"may":[340],"minimize":[341],"dimensionality":[343],"by":[344,349],"much":[346],"60%":[348],"selecting":[350],"characteristics.":[354,376],"Less":[355],"tuning":[356,365],"parameters":[357],"required":[359],"strategy.":[363],"However,":[364],"becomes":[366],"obligatory":[367],"get":[371],"desired":[373],"set":[374],"future":[379],"implementation":[380],"workload":[383],"evaluation,":[384],"shortcoming":[386],"fixed.":[388]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-04-21T00:00:00"}
