{"id":"https://openalex.org/W2801360775","doi":"https://doi.org/10.1109/icassp.2018.8462243","title":"Cognitive Analysis of Working Memory Load from Eeg, by a Deep Recurrent Neural Network","display_name":"Cognitive Analysis of Working Memory Load from Eeg, by a Deep Recurrent Neural Network","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2801360775","doi":"https://doi.org/10.1109/icassp.2018.8462243","mag":"2801360775"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5006199064","display_name":"Shiba Kuanar","orcid":"https://orcid.org/0000-0002-8670-6957"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiba Kuanar","raw_affiliation_strings":["Department of Electrical, University of Texas, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, University of Texas, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025213339","display_name":"Vassilis Athitsos","orcid":"https://orcid.org/0000-0002-1281-6168"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vassilis Athitsos","raw_affiliation_strings":["Department of Computer Science Enzineering, University of Texas, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Enzineering, University of Texas, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062049617","display_name":"Nityananda Pradhan","orcid":null},"institutions":[{"id":"https://openalex.org/I699696","display_name":"National Institute of Mental Health and Neurosciences","ror":"https://ror.org/0405n5e57","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I699696"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nityananda Pradhan","raw_affiliation_strings":["Department of Psychopharmacology, NIMHANS, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychopharmacology, NIMHANS, India","institution_ids":["https://openalex.org/I699696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101589768","display_name":"Arabinda Mishra","orcid":"https://orcid.org/0000-0003-1564-5373"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arabinda Mishra","raw_affiliation_strings":["Institute of Imaging science, Vanderbilt University, Nashville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Imaging science, Vanderbilt University, Nashville, Tennessee, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078861665","display_name":"K.R. Rao","orcid":"https://orcid.org/0000-0002-8513-3114"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K.R. Rao","raw_affiliation_strings":["Department of Electrical, University of Texas, Arlington, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, University of Texas, Arlington, USA","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.0872,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.98260995,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2576","last_page":"2580"},"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9534000158309937,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9524000287055969,"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/computer-science","display_name":"Computer science","score":0.7963011264801025},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7124977707862854},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6671241521835327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6126315593719482},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5376431345939636},{"id":"https://openalex.org/keywords/working-memory","display_name":"Working memory","score":0.48359936475753784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47835108637809753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4635438621044159},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4593821167945862},{"id":"https://openalex.org/keywords/cognitive-load","display_name":"Cognitive load","score":0.4343179166316986},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4142829179763794},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4130706191062927},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37711966037750244},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08973392844200134},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06622490286827087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963011264801025},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7124977707862854},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6671241521835327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6126315593719482},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5376431345939636},{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.48359936475753784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47835108637809753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4635438621044159},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4593821167945862},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.4343179166316986},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4142829179763794},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4130706191062927},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37711966037750244},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08973392844200134},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06622490286827087},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1483854707","https://openalex.org/W1686810756","https://openalex.org/W1904365287","https://openalex.org/W1923404803","https://openalex.org/W1972498024","https://openalex.org/W1981552604","https://openalex.org/W2005708641","https://openalex.org/W2011966906","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2075647286","https://openalex.org/W2096036274","https://openalex.org/W2118114225","https://openalex.org/W2143612262","https://openalex.org/W2154281509","https://openalex.org/W2158076175","https://openalex.org/W2163605009","https://openalex.org/W2170240176","https://openalex.org/W2962699674","https://openalex.org/W2963012544","https://openalex.org/W3104887532","https://openalex.org/W6685893538"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W2185469136","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3182717358","https://openalex.org/W2759196065","https://openalex.org/W2626737214"],"abstract_inverted_index":{"One":[0],"of":[1,22,52,73,94,132],"the":[2,50,66,92,135],"common":[3],"modalities":[4],"for":[5],"observing":[6],"mental":[7],"activity":[8],"is":[9,16],"electroencephalogram":[10],"(EEG)":[11],"signals.":[12],"However,":[13],"EEG":[14,56,67],"recording":[15],"highly":[17],"susceptible":[18],"to":[19,25,31,44,87,112,143,147],"various":[20],"sources":[21],"noise":[23],"and":[24,48,102,105,139],"inter":[26],"subject":[27],"differences.":[28],"In":[29],"order":[30],"solve":[32],"these":[33],"problems":[34],"we":[35,63,81],"present":[36],"a":[37,59,71],"deep":[38,60],"recurrent":[39,84],"neural":[40],"network":[41,86],"(RNN)":[42],"architecture":[43],"learn":[45,88],"robust":[46,89],"features":[47,107],"predict":[49],"levels":[51,127],"cognitive":[53,120],"load":[54,122],"from":[55,91],"recordings.":[57],"Using":[58],"learning":[61],"approach,":[62],"first":[64],"transform":[65],"time":[68],"series":[69],"into":[70],"sequence":[72,93],"multispectral":[74],"images":[75],"which":[76,108],"carries":[77],"spatial":[78,101],"information.":[79],"Next,":[80],"train":[82],"our":[83],"hybrid":[85],"representations":[90],"frames.":[95],"The":[96],"proposed":[97],"approach":[98],"preserves":[99],"spectral,":[100],"temporal":[103],"structures":[104],"extracts":[106],"are":[109],"less":[110],"sensitive":[111],"variations":[113],"along":[114],"each":[115],"dimension.":[116],"Our":[117],"results":[118],"demonstrate":[119],"memory":[121,136],"prediction":[123],"across":[124],"four":[125],"different":[126],"with":[128],"an":[129],"overall":[130],"accuracy":[131],"92.5%":[133],"during":[134],"task":[137],"execution":[138],"reduce":[140],"classification":[141],"error":[142],"7.61%":[144],"in":[145],"comparison":[146],"other":[148],"state-of-art":[149],"techniques.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}