{"id":"https://openalex.org/W4389250010","doi":"https://doi.org/10.1109/bsn58485.2023.10330913","title":"Brain-muscle Interaction Analysis with Time-variant Granger Causality","display_name":"Brain-muscle Interaction Analysis with Time-variant Granger Causality","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4389250010","doi":"https://doi.org/10.1109/bsn58485.2023.10330913"},"language":"en","primary_location":{"id":"doi:10.1109/bsn58485.2023.10330913","doi":"https://doi.org/10.1109/bsn58485.2023.10330913","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10330913","pdf_url":null,"source":{"id":"https://openalex.org/S4306421165","display_name":"Wearable and Implantable Body Sensor Networks","issn_l":"2376-8886","issn":["2376-8886"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5058475529","display_name":"Nyi Nyi Tun","orcid":"https://orcid.org/0000-0002-2825-645X","observed_orcids":["https://orcid.org/0000-0002-2825-645X"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nyi Nyi Tun","raw_affiliation_strings":["Kyushu University,Graduate School and Faculty of Information, Science and Electrical Engineering,Fukuoka,Japan,819-0395"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University,Graduate School and Faculty of Information, Science and Electrical Engineering,Fukuoka,Japan,819-0395","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022279388","display_name":"Fumiya Sanuki","orcid":"https://orcid.org/0000-0003-4561-1721","observed_orcids":["https://orcid.org/0000-0003-4561-1721"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumiya Sanuki","raw_affiliation_strings":["Kyushu University,Graduate School of System Life Sciences,Fukuoka,Japan,819-0395"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University,Graduate School of System Life Sciences,Fukuoka,Japan,819-0395","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018992658","display_name":"Keiji Iramina","orcid":"https://orcid.org/0000-0002-1295-2725","observed_orcids":["https://orcid.org/0000-0002-1295-2725"]},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Iramina","raw_affiliation_strings":["Kyushu University,Faculty of Information Science and Electrical Engineering,Fukuoka,Japan,819-0395"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu University,Faculty of Information Science and Electrical Engineering,Fukuoka,Japan,819-0395","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22865014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.5151000022888184,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.5151000022888184,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.4406999945640564,"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/T10982","display_name":"Motor Control and Adaptation","score":0.014499999582767487,"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/brain-muscle-interaction","display_name":"brain-muscle interaction","score":0.9020000100135803},{"id":"https://openalex.org/keywords/information-flow-direction","display_name":"information flow direction","score":0.8349999785423279},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"motor imagery","score":0.6589999794960022},{"id":"https://openalex.org/keywords/movement-intention","display_name":"movement intention","score":0.7979999780654907},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"virtual reality","score":0.652999997138977},{"id":"https://openalex.org/keywords/head-mounted-displays","display_name":"head-mounted displays","score":0.8870000243186951},{"id":"https://openalex.org/keywords/afferent-and-efferent-pathways","display_name":"afferent and efferent pathways","score":0.8799999952316284},{"id":"https://openalex.org/keywords/motor-tasks","display_name":"motor tasks","score":0.671999990940094}],"concepts":[{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.8541251420974731},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.6874300241470337},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.6713134050369263},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6263654828071594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6214745044708252},{"id":"https://openalex.org/C2776512019","wikidata":"https://www.wikidata.org/wiki/Q1816418","display_name":"Efferent","level":3,"score":0.5685940980911255},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.5342553853988647},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.527198851108551},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46789824962615967},{"id":"https://openalex.org/C2779263132","wikidata":"https://www.wikidata.org/wiki/Q2215671","display_name":"Afferent","level":2,"score":0.4031234383583069},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.357451856136322},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3528459072113037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34531694650650024},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32194197177886963},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3026490807533264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25330448150634766},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09475928544998169},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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:10.1109/bsn58485.2023.10330913","doi":"https://doi.org/10.1109/bsn58485.2023.10330913","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bsn58485.2023.10330913","pdf_url":null,"source":{"id":"https://openalex.org/S4306421165","display_name":"Wearable and Implantable Body Sensor Networks","issn_l":"2376-8886","issn":["2376-8886"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 19th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4043000042438507,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2011611054","https://openalex.org/W2015513563","https://openalex.org/W2089361438","https://openalex.org/W2153023455","https://openalex.org/W2178225550","https://openalex.org/W2781772938","https://openalex.org/W3038140332","https://openalex.org/W3115306005","https://openalex.org/W3174540112","https://openalex.org/W4200070175","https://openalex.org/W4230797216"],"related_works":["https://openalex.org/W2138734528","https://openalex.org/W2015513563","https://openalex.org/W3174540112","https://openalex.org/W2015880358","https://openalex.org/W2089361438","https://openalex.org/W2055808375","https://openalex.org/W7145656262","https://openalex.org/W2049848875","https://openalex.org/W2939567728","https://openalex.org/W2047639388"],"abstract_inverted_index":{"This":[0],"study":[1,99],"uses":[2],"time-variant":[3,104,174],"Granger":[4,105,175],"causality":[5,71,87,106,176],"to":[6,101,140,197],"calculate":[7,198],"the":[8,14,43,53,60,70,94,141,180,199],"amount":[9],"of":[10,16,55,86,97,123,179,201],"functional":[11,136,147,171],"interaction":[12,137,148,172],"with":[13],"inference":[15],"information":[17,115],"flow":[18,116],"direction.":[19],"Four":[20],"different":[21,74,189],"motor":[22,36,142],"tasks":[23,62,143,155],"were":[24],"taken":[25],"into":[26],"consideration.":[27],"They":[28],"are":[29],"real":[30],"movement":[31,33],"(RM),":[32],"intention":[34],"(Inten),":[35],"imagery":[37],"(MI),":[38],"and":[39,80,90,110,120,125,153,166,183,195],"only":[40],"looking":[41],"at":[42],"virtual":[44,66],"hand":[45],"in":[46,63,150,163],"three-dimensional":[47],"head-mounted":[48],"display":[49],"(OL)":[50],"tasks.":[51],"For":[52],"purpose":[54],"task":[56,162],"instructions,":[57],"we":[58],"designed":[59],"experimental":[61],"a":[64],"3D-HMD":[65],"reality":[67],"environment.":[68],"Examining":[69],"between":[72,88,118],"two":[73,188],"biological":[75],"signals":[76],"is":[77,100,107,177],"still":[78],"challenging,":[79],"there":[81],"have":[82],"been":[83],"few":[84],"studies":[85],"brain":[89,124],"muscle":[91,126],"signals.":[92,127],"Thus,":[93],"main":[95],"aim":[96],"this":[98],"proclaim":[102],"that":[103,134],"an":[108],"easy-to-apply":[109],"effective":[111],"method":[112],"for":[113,186],"inferring":[114],"direction":[117,200],"ascending":[119],"descending":[121],"pathways":[122],"Generally,":[128],"our":[129],"final":[130],"results":[131],"strongly":[132],"proved":[133],"brain-muscle":[135],"changes":[138],"according":[139],"executed.":[144],"Furthermore,":[145],"high":[146],"appears":[149],"RM,":[151],"Inten":[152],"MI":[154],"(in":[156],"some":[157],"subjects)":[158],"rather":[159],"than":[160],"OL":[161],"both":[164],"afferent":[165],"efferent":[167],"directions.":[168],"Among":[169],"many":[170],"methods,":[173],"one":[178],"most":[181],"basic":[182],"reliable":[184],"methods":[185],"investigating":[187],"neurophysiological":[190],"signals,":[191],"such":[192],"as":[193],"EEG":[194],"EMG,":[196],"information.":[202]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2023-12-02T00:00:00"}
