{"id":"https://openalex.org/W4408896974","doi":"https://doi.org/10.1109/icmlc63072.2024.10935006","title":"Denoising and Decoding the Time Course of Single-Joint Movements from Electroencephalography Cortical Currents","display_name":"Denoising and Decoding the Time Course of Single-Joint Movements from Electroencephalography Cortical Currents","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4408896974","doi":"https://doi.org/10.1109/icmlc63072.2024.10935006"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc63072.2024.10935006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5116820439","display_name":"Junji Omote","orcid":null},"institutions":[{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junji Omote","raw_affiliation_strings":["Graduate School of Engineering, Toyama Prefectural University,Toyama,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Toyama Prefectural University,Toyama,Japan","institution_ids":["https://openalex.org/I63216439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046947778","display_name":"Takuma Iwai","orcid":"https://orcid.org/0000-0002-4706-1228"},"institutions":[{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuma Iwai","raw_affiliation_strings":["Graduate School of Engineering, Toyama Prefectural University,Toyama,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Toyama Prefectural University,Toyama,Japan","institution_ids":["https://openalex.org/I63216439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080830242","display_name":"Ken-ichi Morishige","orcid":"https://orcid.org/0000-0002-4613-3912"},"institutions":[{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken-Ichi Morishige","raw_affiliation_strings":["Toyama Prefectural University,Department of Intelligent Robotics,Toyama,Japan"],"affiliations":[{"raw_affiliation_string":"Toyama Prefectural University,Department of Intelligent Robotics,Toyama,Japan","institution_ids":["https://openalex.org/I63216439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116820439"],"corresponding_institution_ids":["https://openalex.org/I63216439"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2713414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.995199978351593,"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":0.995199978351593,"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":0.9399999976158142,"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":0.9387000203132629,"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":0.7966790795326233},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7055277228355408},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5217165350914001},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4938386082649231},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.4156269133090973},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4103604853153229},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39104002714157104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31551843881607056},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2485698163509369},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1371707320213318},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12140998244285583}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7966790795326233},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7055277228355408},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5217165350914001},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4938386082649231},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4156269133090973},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4103604853153229},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39104002714157104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31551843881607056},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2485698163509369},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1371707320213318},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12140998244285583},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc63072.2024.10935006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2005774503","https://openalex.org/W2006096283","https://openalex.org/W2025402130","https://openalex.org/W2103494817","https://openalex.org/W2105716814","https://openalex.org/W2106006415","https://openalex.org/W2107418674","https://openalex.org/W2113431893","https://openalex.org/W2115606304","https://openalex.org/W2124757386","https://openalex.org/W2128495200","https://openalex.org/W2140413964","https://openalex.org/W2151721316","https://openalex.org/W2156563361","https://openalex.org/W2171911691","https://openalex.org/W2790727571","https://openalex.org/W3138524970","https://openalex.org/W3145509472","https://openalex.org/W3179905084","https://openalex.org/W4387907933"],"related_works":["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","https://openalex.org/W4233722919","https://openalex.org/W4323929055"],"abstract_inverted_index":{"Although":[0],"electroencephalography":[1],"(EEG)":[2],"sensor":[3,34],"data":[4,44,62],"have":[5],"shown":[6],"that":[7,98],"slow":[8],"cortical":[9,29,54,68,89,106],"potentials":[10],"correlate":[11],"with":[12],"motor":[13],"neural":[14],"activities,":[15],"it":[16],"remains":[17],"unclear":[18],"whether":[19],"human":[20],"arm":[21],"trajectories":[22,65],"can":[23],"be":[24],"reliably":[25],"reconstructed":[26,64,101],"from":[27,32,59,66,104],"the":[28,53,60,67,82],"currents":[30,58,69],"estimated":[31,52],"EEG":[33,43,61,105],"data.":[35],"We":[36,50],"addressed":[37],"this":[38],"gap":[39],"by":[40],"measuring":[41],"scalp":[42],"while":[45],"participants":[46],"performed":[47],"single-joint":[48],"movements.":[49,94],"simultaneously":[51],"and":[55,63,81],"extra-brain":[56],"source":[57],"using":[70],"a":[71],"sparse":[72],"linear":[73],"regression":[74],"method.":[75],"Test":[76],"datasets":[77],"demonstrated":[78],"good":[79],"performance,":[80],"weighted":[83],"values":[84],"were":[85],"distributed":[86],"on":[87],"multiple":[88],"areas":[90],"related":[91],"to":[92],"reaching":[93],"These":[95],"results":[96],"indicate":[97],"our":[99],"method":[100],"trajectory":[102],"information":[103],"currents.":[107]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
