{"id":"https://openalex.org/W4214870093","doi":"https://doi.org/10.1109/ccwc54503.2022.9720819","title":"A Comparitive Study of Machine Learning Algorithms for Identifying Mental States from EEG Recordings","display_name":"A Comparitive Study of Machine Learning Algorithms for Identifying Mental States from EEG Recordings","publication_year":2022,"publication_date":"2022-01-26","ids":{"openalex":"https://openalex.org/W4214870093","doi":"https://doi.org/10.1109/ccwc54503.2022.9720819"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc54503.2022.9720819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc54503.2022.9720819","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5084845177","display_name":"Chuck Easttom","orcid":"https://orcid.org/0000-0002-6744-6731"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chuck Easttom","raw_affiliation_strings":["Georgetown University,Georgetown,D.C","Georgetown University, Georgetown, D.C"],"affiliations":[{"raw_affiliation_string":"Georgetown University,Georgetown,D.C","institution_ids":[]},{"raw_affiliation_string":"Georgetown University, Georgetown, D.C","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075965221","display_name":"Izzat Alsmadi","orcid":"https://orcid.org/0000-0001-7832-5081"},"institutions":[{"id":"https://openalex.org/I1335518801","display_name":"Texas A&M University \u2013 San Antonio","ror":"https://ror.org/0084njv03","country_code":"US","type":"education","lineage":["https://openalex.org/I1335518801"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Izzat Alsmadi","raw_affiliation_strings":["Texas A&#x0026;M University,San Antonio,Texas"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,San Antonio,Texas","institution_ids":["https://openalex.org/I1335518801"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084845177"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.401,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42488263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"134","issue":null,"first_page":"0644","last_page":"0648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9936000108718872,"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/T10320","display_name":"Neural Networks and Applications","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.7357693910598755},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6854263544082642},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6379374861717224},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6036270260810852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5816050171852112},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.49078020453453064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42088502645492554},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15326809883117676},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07097259163856506}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7357693910598755},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6854263544082642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6379374861717224},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6036270260810852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5816050171852112},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.49078020453453064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42088502645492554},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15326809883117676},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07097259163856506},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccwc54503.2022.9720819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc54503.2022.9720819","pdf_url":null,"source":{"id":"https://openalex.org/S4363608098","display_name":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1574830153","https://openalex.org/W2554365105","https://openalex.org/W2589221278","https://openalex.org/W2770027422","https://openalex.org/W2796170465","https://openalex.org/W2918524937","https://openalex.org/W2918624131","https://openalex.org/W2937023809","https://openalex.org/W2944205279","https://openalex.org/W2946884143","https://openalex.org/W2953214845","https://openalex.org/W2962790490","https://openalex.org/W2972883610","https://openalex.org/W2979077288","https://openalex.org/W2991465589","https://openalex.org/W2996571637","https://openalex.org/W3006673474","https://openalex.org/W3010264077","https://openalex.org/W3012277968","https://openalex.org/W3100724425","https://openalex.org/W3108564553","https://openalex.org/W3119278118","https://openalex.org/W4287018197","https://openalex.org/W4302045803","https://openalex.org/W4384435595","https://openalex.org/W6730263737"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585"],"abstract_inverted_index":{"Machine":[0],"learning":[1,23,73],"for":[2],"studying":[3],"EEG":[4,25],"data":[5],"has":[6],"been":[7],"widely":[8,44],"published.":[9],"On":[10],"sub-area":[11],"of":[12,17,34,68,71,96],"research":[13],"is":[14,100],"the":[15,32,47,50,59,69],"identification":[16],"mental":[18,76,98],"states":[19,99],"by":[20,37],"applying":[21],"machine":[22,72],"to":[24,31,62,74,89],"recordings.":[26],"The":[27],"current":[28,51,60],"study":[29,52,61],"adds":[30],"body":[33],"literature":[35],"first":[36],"adding":[38],"additional":[39],"algorithms":[40,86],"that":[41],"are":[42],"not":[43],"analyzed":[45],"in":[46],"literature.":[48],"Furthermore,":[49],"examines":[53],"previous":[54],"published":[55],"results":[56],"along":[57],"with":[58],"provide":[63],"a":[64,80,92],"more":[65,93],"comprehensive":[66,94],"understanding":[67,95],"efficacy":[70],"identify":[75],"states.":[77],"By":[78],"using":[79],"multimodal":[81],"approach":[82],"(directly":[83],"testing":[84],"new":[85],"and":[87],"comparing":[88],"existing":[90],"studies)":[91],"identifying":[97],"achieved.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
