{"id":"https://openalex.org/W4384158172","doi":"https://doi.org/10.1109/aiiot58121.2023.10174357","title":"Deep Learning-Based Classification of Finger Movements using tEEG and EEG Signals","display_name":"Deep Learning-Based Classification of Finger Movements using tEEG and EEG Signals","publication_year":2023,"publication_date":"2023-06-07","ids":{"openalex":"https://openalex.org/W4384158172","doi":"https://doi.org/10.1109/aiiot58121.2023.10174357"},"language":"en","primary_location":{"id":"doi:10.1109/aiiot58121.2023.10174357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiiot58121.2023.10174357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE World AI IoT Congress (AIIoT)","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/A5101864785","display_name":"Thao Pham","orcid":null},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thao Pham","raw_affiliation_strings":["University of Rhode Island,Kingston,USA,RI 02881"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island,Kingston,USA,RI 02881","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057521393","display_name":"Kaushallya Adhikari","orcid":"https://orcid.org/0000-0002-0706-0781"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushallya Adhikari","raw_affiliation_strings":["University of Rhode Island,Kingston,USA,RI 02881"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island,Kingston,USA,RI 02881","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043967761","display_name":"Walter G. Besio","orcid":"https://orcid.org/0000-0003-2752-5483"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter G. Besio","raw_affiliation_strings":["University of Rhode Island,Kingston,USA,RI 02881"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island,Kingston,USA,RI 02881","institution_ids":["https://openalex.org/I17626003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101864785"],"corresponding_institution_ids":["https://openalex.org/I17626003"],"apc_list":null,"apc_paid":null,"fwci":1.6272,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82921221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"0120","last_page":"0126"},"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":0.9787999987602234,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8575602173805237},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8037331104278564},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.7821482419967651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7350304126739502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6515166163444519},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6295784711837769},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5506382584571838},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5192182660102844},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5042816400527954},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48793837428092957},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48269033432006836},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46753546595573425},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4133508801460266},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13593578338623047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1293591558933258}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8575602173805237},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8037331104278564},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.7821482419967651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7350304126739502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6515166163444519},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6295784711837769},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5506382584571838},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5192182660102844},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5042816400527954},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48793837428092957},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48269033432006836},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46753546595573425},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4133508801460266},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13593578338623047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1293591558933258},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiiot58121.2023.10174357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiiot58121.2023.10174357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE World AI IoT Congress (AIIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1535602073","https://openalex.org/W2022988565","https://openalex.org/W2112879383","https://openalex.org/W2124607521","https://openalex.org/W2148701578","https://openalex.org/W2150471971","https://openalex.org/W2150590430","https://openalex.org/W2490215499","https://openalex.org/W2595314397","https://openalex.org/W2604684151","https://openalex.org/W2795157542","https://openalex.org/W2883434469","https://openalex.org/W2894693499","https://openalex.org/W2910825437","https://openalex.org/W2948669902","https://openalex.org/W3100936064","https://openalex.org/W3113297088","https://openalex.org/W3164103035","https://openalex.org/W3203162515","https://openalex.org/W4211079737","https://openalex.org/W4213000835","https://openalex.org/W4285101252","https://openalex.org/W4286587846","https://openalex.org/W4294975005","https://openalex.org/W6723019446","https://openalex.org/W6736257990"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W195417223","https://openalex.org/W2951110009","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W2510077457","https://openalex.org/W1961545574","https://openalex.org/W3045772920"],"abstract_inverted_index":{"Mapping":[0],"electroencephalography":[1,81],"(EEG)":[2],"signals":[3,65,124],"obtained":[4],"during":[5],"hand":[6],"and":[7,47,101,122,132],"finger":[8],"movements":[9],"to":[10,32,49,60,89,103,110,159],"left":[11,133],"or":[12,71],"right":[13,131],"hands":[14],"has":[15],"applications":[16],"in":[17,125,150],"many":[18],"fields":[19],"including":[20],"motor":[21,37,127],"imagery":[22,128],"brain-computer":[23],"interface":[24],"(MI-BCI)":[25],"systems.":[26],"MI-BCI":[27],"systems":[28],"are":[29],"innovative":[30],"technology":[31],"assist":[33],"patients":[34,58,69],"with":[35,162,165],"severe":[36],"impairments,":[38],"however,":[39],"novice":[40],"users":[41],"can":[42],"face":[43],"the":[44,51,68,79,85,118,166],"\"BCI-illiteracy\"":[45],"issue":[46],"fail":[48],"control":[50],"system.":[52],"A":[53],"step":[54],"towards":[55],"assisting":[56],"such":[57],"is":[59,157],"correctly":[61],"classify":[62],"their":[63],"EEG":[64,87,123],"collected":[66],"while":[67],"imagine":[70],"perform":[72,160],"hand/finger":[73],"movements.":[74],"This":[75],"work":[76],"considers":[77],"using":[78,137],"tripolar":[80],"(tEEG)":[82],"instead":[83],"of":[84,107,120,130,153],"traditional":[86],"due":[88],"higher":[90],"signal-to-noise":[91],"(SNR),":[92],"better":[93,96],"spatial":[94],"resolution,":[95],"artifact":[97],"noise":[98],"rejection":[99],"feature,":[100],"ability":[102],"capture":[104],"high-frequency":[105],"features":[106],"tEEG,":[108],"compared":[109],"conventional":[111],"EEG.":[112],"In":[113],"this":[114],"paper,":[115],"we":[116],"compare":[117],"performance":[119],"tEEG":[121,172],"classifying":[126],"(MI)":[129],"index":[134],"fingers":[135],"by":[136],"a":[138],"deep":[139],"learning":[140],"algorithm:":[141],"convolutional":[142],"neural":[143],"network":[144],"(CNN).":[145],"The":[146],"results":[147],"show":[148],"that":[149],"5":[151],"out":[152],"7":[154],"subjects,":[155],"CNN":[156],"able":[158],"classification":[161],"high":[163],"accuracy,":[164],"highest":[167],"accuracy":[168],"being":[169],"96.4%":[170],"for":[171],"data.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}