{"id":"https://openalex.org/W2100207510","doi":"https://doi.org/10.1142/s0218126609005861","title":"PHASE INTERVAL VALUE ANALYSIS FOR THE MOTOR IMAGERY TASK IN BCI","display_name":"PHASE INTERVAL VALUE ANALYSIS FOR THE MOTOR IMAGERY TASK IN BCI","publication_year":2009,"publication_date":"2009-11-30","ids":{"openalex":"https://openalex.org/W2100207510","doi":"https://doi.org/10.1142/s0218126609005861","mag":"2100207510"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126609005861","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126609005861","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5100679241","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-4974-6116"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"JIE LI","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"LIQING ZHANG","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100679241"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.16770286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"18","issue":"08","first_page":"1441","last_page":"1452"},"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":0.9970999956130981,"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":0.9944000244140625,"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":0.8907691240310669},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.8226827383041382},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7786905765533447},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7440659999847412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919796228408813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5758589506149292},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644293427467346},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5560587048530579},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5184807181358337},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4479047954082489},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.42237597703933716},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.41995295882225037},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41685229539871216},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16983380913734436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15925905108451843},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1105450987815857},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10006973147392273},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08493775129318237}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8907691240310669},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.8226827383041382},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7786905765533447},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7440659999847412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919796228408813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5758589506149292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644293427467346},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5560587048530579},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5184807181358337},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4479047954082489},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.42237597703933716},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.41995295882225037},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41685229539871216},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16983380913734436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15925905108451843},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1105450987815857},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10006973147392273},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08493775129318237},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126609005861","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126609005861","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1500295349","https://openalex.org/W1603307924","https://openalex.org/W1609975480","https://openalex.org/W1730498712","https://openalex.org/W1982524534","https://openalex.org/W2006082701","https://openalex.org/W2019774050","https://openalex.org/W2035736377","https://openalex.org/W2075647286","https://openalex.org/W2103028253","https://openalex.org/W2106006415","https://openalex.org/W2115810652","https://openalex.org/W2120082863","https://openalex.org/W2121739212","https://openalex.org/W2142197234","https://openalex.org/W2142280324","https://openalex.org/W2145302786","https://openalex.org/W2155758585","https://openalex.org/W2165294408","https://openalex.org/W2167388003","https://openalex.org/W2172123257","https://openalex.org/W2277592459","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2510077457","https://openalex.org/W2947925238","https://openalex.org/W2887556756","https://openalex.org/W195417223","https://openalex.org/W2951110009","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W3045772920","https://openalex.org/W1961545574"],"abstract_inverted_index":{"In":[0,51],"neuroscience,":[1],"phase":[2,33,40,56,63,133],"is":[3,29,105],"assumed":[4],"to":[5,60,84,97],"contain":[6],"more":[7],"important":[8,125],"information":[9,64],"about":[10],"the":[11,17,30,62,78,98,129,137],"neural":[12],"activity":[13],"than":[14],"amplitude.":[15],"However,":[16],"most":[18],"exploited":[19],"feature":[20,86],"in":[21,47,116,128,141],"electroencephalogram":[22],"(EEG)":[23],"based":[24,76],"brain":[25],"computer":[26],"interface":[27],"(BCI)":[28],"amplitude":[31],"change,":[32],"has":[34,44,136],"been":[35,45],"largely":[36],"ignored,":[37],"and":[38,71,113,118,135],"only":[39],"locking":[41],"values":[42],"(PLV)":[43],"introduced":[46],"EEG":[48,66,94,109,132],"classification":[49],"recently.":[50],"this":[52],"paper,":[53],"we":[54],"define":[55],"interval":[57],"value":[58],"(PIV)":[59],"explore":[61],"of":[65,131],"from":[67,87],"a":[68,73],"new":[69,126],"perspective":[70],"propose":[72],"computational":[74],"model":[75],"on":[77],"ordered":[79],"Parallel":[80],"Factors":[81],"(PARAFAC)":[82],"algorithm":[83],"extract":[85],"multi-way":[88],"PIV":[89,104,121],"data":[90],"for":[91,108],"single":[92],"trial":[93],"classification.":[95],"Application":[96],"motor":[99],"imagery":[100],"task":[101],"demonstrates":[102],"that":[103],"quite":[106],"effective":[107],"classification,":[110],"providing":[111],"significant":[112],"discriminative":[114],"features":[115],"spatial":[117],"spectral":[119],"dimension.":[120],"might":[122],"become":[123],"an":[124],"tool":[127],"analysis":[130],"characteristic,":[134],"great":[138],"potential":[139],"use":[140],"BCI.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}