{"id":"https://openalex.org/W2914511264","doi":"https://doi.org/10.1109/icdsp.2018.8631698","title":"Research on Motor Imagery EEG Modeling Based on Window Optimization and a Few Channels PSD","display_name":"Research on Motor Imagery EEG Modeling Based on Window Optimization and a Few Channels PSD","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2914511264","doi":"https://doi.org/10.1109/icdsp.2018.8631698","mag":"2914511264"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2018.8631698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2018.8631698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","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/A5101691668","display_name":"Banghua Yang","orcid":"https://orcid.org/0000-0002-8561-5631"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Banghua Yang","raw_affiliation_strings":["Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019844615","display_name":"Chenxiao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxiao Hu","raw_affiliation_strings":["Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340094","display_name":"Jinlong Wang","orcid":"https://orcid.org/0000-0001-5679-1495"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Wang","raw_affiliation_strings":["Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374366","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-7817-0665"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392017","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5761-659X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Electromechanical Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101691668"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.1234,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49198949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9456999897956848,"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":0.7061775326728821},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6387377977371216},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.6373857259750366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6129573583602905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4388044476509094},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3559629023075104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.340349018573761},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.3235410153865814},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2126302719116211},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20635032653808594},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.06959971785545349}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7061775326728821},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6387377977371216},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.6373857259750366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6129573583602905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4388044476509094},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3559629023075104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.340349018573761},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.3235410153865814},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2126302719116211},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20635032653808594},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.06959971785545349}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2018.8631698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2018.8631698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W130870149","https://openalex.org/W2156849207","https://openalex.org/W2239235559","https://openalex.org/W2624540538"],"related_works":["https://openalex.org/W1999831619","https://openalex.org/W2774366380","https://openalex.org/W131149161","https://openalex.org/W2744505636","https://openalex.org/W2158204413","https://openalex.org/W2467810721","https://openalex.org/W2736271933","https://openalex.org/W2308023525","https://openalex.org/W2115206060","https://openalex.org/W2098844365"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,11,23,43,82,99,103,107,113,117],"time":[4,13,90],"window":[5,91],"optimization":[6,92],"is":[7,39,61,93],"used":[8,40],"to":[9,41,57,64],"find":[10],"best":[12],"period":[14],"of":[15,86,98],"thinking":[16],"tasks":[17],"for":[18,29],"each":[19],"subject,":[20],"while":[21],"combining":[22],"power":[24],"spectral":[25],"density":[26],"(PSD)":[27],"algorithm":[28],"feature":[30],"extraction":[31],"under":[32],"a":[33],"few":[34],"channels.":[35],"The":[36,59],"proposed":[37],"method":[38],"analyze":[42],"motor":[44],"imagery":[45],"EEG":[46],"signals":[47],"produced":[48],"by":[49,68,74],"8":[50,87],"subjects":[51,88],"(4":[52],"sessions":[53],"per":[54],"subject:":[55],"Sl":[56],"S4).":[58],"model":[60],"established":[62],"according":[63],"SI-S3,":[65],"and":[66,72],"tested":[67],"S4.":[69],"Through":[70],"modeling":[71],"testing":[73],"using":[75,109],"3-channels,":[76],"it":[77],"can":[78,119],"be":[79],"seen":[80],"that":[81,97,116],"average":[83],"classification":[84,125],"accuracy":[85],"after":[89],"5%-15%":[94],"higher":[95,124],"than":[96],"un-optimized":[100],"PSD.":[101],"At":[102],"same":[104],"time,":[105],"comparing":[106],"results":[108,114],"3-channels":[110],"with":[111],"8-channels,":[112],"show":[115],"former":[118],"achieve":[120],"similar":[121],"or":[122],"even":[123],"accuracy.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
