{"id":"https://openalex.org/W2104554093","doi":"https://doi.org/10.1109/bmei.2013.6746934","title":"Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface","display_name":"Channel selection based on amplitude and phase characteristics for P300-based brain-computer interface","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2104554093","doi":"https://doi.org/10.1109/bmei.2013.6746934","mag":"2104554093"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2013.6746934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2013.6746934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 6th International Conference on Biomedical Engineering and Informatics","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/A5115695237","display_name":"Yiyuan Wang","orcid":"https://orcid.org/0009-0000-1248-0708"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyuan Wang","raw_affiliation_strings":["School of Electronics and Information, Tongji University, Shanghai, China","Sch. of Electron. & Inf., Tongji Univ., Shanghai, , China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Tongji Univ., Shanghai, , China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428302","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-9299-3251"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Electronics and Information, Tongji University, Shanghai, China","Sch. of Electron. & Inf., Tongji Univ., Shanghai, , China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Tongji Univ., Shanghai, , China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089587228","display_name":"Rongjun Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongjun Jian","raw_affiliation_strings":["School of Electronics and Information, Tongji University, Shanghai, China","Sch. of Electron. & Inf., Tongji Univ., Shanghai, , China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Sch. of Electron. & Inf., Tongji Univ., Shanghai, , China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052175650","display_name":"Rong Gu","orcid":"https://orcid.org/0000-0002-1565-9997"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Gu","raw_affiliation_strings":["School of Electronics and Information, Tongji University, Shanghai, China","Dept. of Electron. Sci. & Technol., Tongji Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Dept. of Electron. Sci. & Technol., Tongji Univ., Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115695237"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.152,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5318591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"295","issue":null,"first_page":"202","last_page":"207"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9972000122070312,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.9259410500526428},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7495846748352051},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.720061182975769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.679091215133667},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6722037196159363},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6581912040710449},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6320182681083679},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4996950626373291},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4368773102760315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4060882329940796},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40285569429397583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3893775939941406},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3565293550491333},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1554253101348877},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14321023225784302},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10172399878501892},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08028563857078552}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.9259410500526428},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7495846748352051},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.720061182975769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679091215133667},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6722037196159363},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6581912040710449},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6320182681083679},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4996950626373291},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4368773102760315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4060882329940796},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40285569429397583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3893775939941406},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3565293550491333},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1554253101348877},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14321023225784302},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10172399878501892},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08028563857078552},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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":[{"id":"doi:10.1109/bmei.2013.6746934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2013.6746934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 6th International Conference on Biomedical Engineering and Informatics","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":18,"referenced_works":["https://openalex.org/W1975226595","https://openalex.org/W2004841582","https://openalex.org/W2009067635","https://openalex.org/W2016479629","https://openalex.org/W2018090550","https://openalex.org/W2052870065","https://openalex.org/W2056609659","https://openalex.org/W2089997820","https://openalex.org/W2098100592","https://openalex.org/W2098735891","https://openalex.org/W2100470503","https://openalex.org/W2115810652","https://openalex.org/W2117798106","https://openalex.org/W2125236773","https://openalex.org/W2135961695","https://openalex.org/W2160634130","https://openalex.org/W2166473218","https://openalex.org/W6684116732"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1969223073"],"abstract_inverted_index":{"Brain-Computer":[0],"Interface":[1],"(BCI)":[2],"paradigms":[3],"communicate":[4],"with":[5,18],"external":[6],"world":[7],"through":[8],"specific":[9],"electrode":[10],"positions.":[11],"As":[12],"the":[13,21,29,61,69],"oscillatory":[14],"brain":[15],"activity":[16],"varies":[17],"different":[19],"individuals,":[20],"prior":[22],"experience":[23],"is":[24,57],"not":[25],"enough":[26],"to":[27,60],"select":[28],"optimal":[30],"channels":[31],"for":[32,48,71],"pattern":[33],"recognition.":[34],"Most":[35],"channel":[36,49,72],"selections":[37],"are":[38],"based":[39],"on":[40],"amplitude":[41,53],"features.":[42],"In":[43],"this":[44],"paper,":[45],"an":[46,75],"approach":[47],"selection":[50,73],"that":[51,78],"combines":[52],"and":[54],"phase":[55],"features":[56],"proposed.":[58],"Applied":[59],"data":[62],"set":[63],"IIb":[64],"of":[65],"BCI":[66],"Competition":[67],"2003,":[68],"method":[70],"achieved":[74],"satisfying":[76],"accuracy":[77],"only":[79],"one":[80],"letter":[81],"was":[82],"predicted":[83],"as":[84],"wrong":[85],"among":[86],"thirty-one":[87],"letters.":[88]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
