乐胖代购免代理版

{"id":"https://openalex.org/W4205158431","doi":"https://doi.org/10.1109/smc52423.2021.9659169","title":"Classifying EEG motor imagery signals using supervised projection pursuit for artefact removal","display_name":"Classifying EEG motor imagery signals using supervised projection pursuit for artefact removal","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W4205158431","doi":"https://doi.org/10.1109/smc52423.2021.9659169"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659169","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5003649929","display_name":"Tyler Grear","orcid":"https://orcid.org/0000-0002-8319-8432"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler Grear","raw_affiliation_strings":["University of North Carolina at Charlotte, Charlotte, North Carolina"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte, Charlotte, North Carolina","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073630563","display_name":"Donald J. Jacobs","orcid":"https://orcid.org/0000-0001-7711-1639"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donald Jacobs","raw_affiliation_strings":["Affiliate Faculty of the UNC Charlotte School of Data Science Center for Biomedical Engineering and Science, University of North Carolina at Charlotte, Charlotte, North Carolina"],"affiliations":[{"raw_affiliation_string":"Affiliate Faculty of the UNC Charlotte School of Data Science Center for Biomedical Engineering and Science, University of North Carolina at Charlotte, Charlotte, North Carolina","institution_ids":["https://openalex.org/I102149020"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":57},"biblio":{"volume":null,"issue":null,"first_page":"2952","last_page":"2958"},"is_retracted":false,"is_paratext":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":0.9975,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.997,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/motor-imagery","display_name":"Motor Imagery","score":0.9062034},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45865628}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.9062034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.68459666},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6342478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62640834},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.625026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.58876467},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5455205},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4738094},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45865628},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.43091613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41544974},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3835493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24287966},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1617704},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10070878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09572694},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0737482},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc52423.2021.9659169","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.66}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1969311702","https://openalex.org/W1979412716","https://openalex.org/W1990306572","https://openalex.org/W2010371409","https://openalex.org/W2015244452","https://openalex.org/W2031379774","https://openalex.org/W2034651386","https://openalex.org/W2062159891","https://openalex.org/W2080478729","https://openalex.org/W2081895431","https://openalex.org/W2082070408","https://openalex.org/W2089598398","https://openalex.org/W2093601481","https://openalex.org/W2098994855","https://openalex.org/W2102103192","https://openalex.org/W2117623021","https://openalex.org/W2133999722","https://openalex.org/W2140413964","https://openalex.org/W2141224535","https://openalex.org/W2142280324","https://openalex.org/W2152040945","https://openalex.org/W2295977970","https://openalex.org/W2343729339","https://openalex.org/W2422365436","https://openalex.org/W2551178936","https://openalex.org/W2557301950","https://openalex.org/W2611482981","https://openalex.org/W2741907166","https://openalex.org/W2746460995","https://openalex.org/W2789453653","https://openalex.org/W2894424125","https://openalex.org/W2909448543","https://openalex.org/W2909905004","https://openalex.org/W2925836809","https://openalex.org/W2940831316","https://openalex.org/W2955714720","https://openalex.org/W2965485674","https://openalex.org/W3080646814","https://openalex.org/W3102455230","https://openalex.org/W3104388512","https://openalex.org/W3131879928","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W3045772920","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W2510077457","https://openalex.org/W2047816336","https://openalex.org/W1984377984","https://openalex.org/W1977940006","https://openalex.org/W1961545574","https://openalex.org/W195417223","https://openalex.org/W1513407214"],"abstract_inverted_index":{"A":[0],"novel":[1],"bottom-up":[2],"approach":[3],"for":[4,100],"EEG":[5],"signal":[6],"artefact":[7],"removal":[8],"and":[9,44,51],"classification":[10,90,108],"is":[11,15,56,76,103,120],"presented.":[12],"An":[13,25],"eigenbrain":[14,60],"constructed":[16],"from":[17,36],"two":[18],"eigenchannels":[19],"on":[20,92],"a":[21,28,63,106],"per":[22],"subject":[23],"basis.":[24],"eigenchannel":[26,68],"provides":[27],"characteristic":[29],"vector":[30,69],"space":[31],"to":[32],"discriminate":[33],"motor":[34,54,83],"imagery":[35,55,84],"resting":[37],"state":[38],"signals":[39],"in":[40],"both":[41],"the":[42,59,67,93,98,116],"\u00b5":[43],"\u03b2":[45],"frequency":[46],"bands.":[47],"Discrimination":[48],"between":[49],"left":[50],"right":[52],"hand":[53],"achieved":[57],"at":[58],"level":[61],"as":[62],"direct":[64],"sum":[65],"of":[66,81],"spaces.":[70],"It":[71],"was":[72],"found":[73],"this":[74],"methodology":[75],"viable":[77],"using":[78],"only":[79],"5%":[80],"available":[82],"trials":[85],"during":[86],"training,":[87],"yielding":[88],"92.6%":[89],"accuracy":[91],"selected":[94],"test":[95],"subject.":[96],"Furthermore,":[97],"utility":[99],"real-time":[101],"applications":[102],"promising":[104],"with":[105],"rapid":[107],"that":[109],"takes":[110],"less":[111],"than":[112],"100":[113],"ms":[114],"after":[115],"initial":[117],"calibration":[118],"procedure":[119],"completed.":[121]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4205158431","counts_by_year":[],"updated_date":"2024-12-07T14:50:53.544670","created_date":"2022-01-26"}