{"id":"https://openalex.org/W2343882057","doi":"https://doi.org/10.1109/iww-bci.2016.7457445","title":"Finger flexion imagery: EEG classification through physiologically-inspired feature extraction and hierarchical voting","display_name":"Finger flexion imagery: EEG classification through physiologically-inspired feature extraction and hierarchical voting","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2343882057","doi":"https://doi.org/10.1109/iww-bci.2016.7457445","mag":"2343882057"},"language":"en","primary_location":{"id":"doi:10.1109/iww-bci.2016.7457445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2016.7457445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","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/A5112104584","display_name":"Daniel Furman","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Daniel Furman","raw_affiliation_strings":["Technion \u2014 Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion \u2014 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054952724","display_name":"Roi Reichart","orcid":"https://orcid.org/0000-0001-6918-0554"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Roi Reichart","raw_affiliation_strings":["Technion \u2014 Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion \u2014 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109241415","display_name":"Hillel Pratt","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hillel Pratt","raw_affiliation_strings":["Technion \u2014 Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion \u2014 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112104584"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.65,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.68478089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":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":0.9955000281333923,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9876000285148621,"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":0.7682082056999207},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7311210036277771},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.707240641117096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816425323486328},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.661179780960083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6603158712387085},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5785934925079346},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.543819010257721},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.5108242034912109},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47794273495674133},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.45921987295150757},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4384167492389679},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38483989238739014},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18599700927734375},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07064580917358398}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7682082056999207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7311210036277771},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.707240641117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816425323486328},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.661179780960083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6603158712387085},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5785934925079346},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.543819010257721},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.5108242034912109},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47794273495674133},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.45921987295150757},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4384167492389679},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38483989238739014},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18599700927734375},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07064580917358398},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iww-bci.2016.7457445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iww-bci.2016.7457445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W611103097","https://openalex.org/W1618905105","https://openalex.org/W1975151804","https://openalex.org/W1988988635","https://openalex.org/W1994677652","https://openalex.org/W2022424636","https://openalex.org/W2037072869","https://openalex.org/W2107952307","https://openalex.org/W2115755118","https://openalex.org/W2128495200","https://openalex.org/W2132984323","https://openalex.org/W2153635508","https://openalex.org/W2157765880","https://openalex.org/W2159848056","https://openalex.org/W2244455943","https://openalex.org/W2498264865","https://openalex.org/W2507937192","https://openalex.org/W2548695521","https://openalex.org/W6677399427","https://openalex.org/W6683344597"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2032664813","https://openalex.org/W3121841074","https://openalex.org/W2055572829","https://openalex.org/W3036613766","https://openalex.org/W1894159578","https://openalex.org/W2807400035","https://openalex.org/W4297796115","https://openalex.org/W3125086856"],"abstract_inverted_index":{"Accurate":[0],"electroencephalography":[1],"(EEG)":[2],"classification":[3],"of":[4,62,105],"finger":[5,57],"flexion":[6],"imagery":[7,120],"would":[8],"endow":[9],"non-invasive":[10,26],"brainmachine":[11],"interfaces":[12],"(BMIs)":[13],"with":[14],"a":[15,36,87,100],"much":[16],"richer":[17],"control":[18],"repertoire.":[19],"Traditionally,":[20],"it":[21],"has":[22],"been":[23],"assumed":[24],"that":[25],"methods":[27],"lack":[28],"the":[29,93,109,115],"resolution":[30],"required":[31],"for":[32,114],"success":[33],"on":[34],"such":[35],"fine":[37],"discrimination":[38],"task.":[39],"In":[40],"this":[41,45],"study,":[42],"we":[43],"challenged":[44],"assumption.":[46],"EEG":[47,128],"was":[48,68],"acquired":[49],"while":[50],"subjects":[51],"imagined":[52],"performing":[53],"individual":[54],"and":[55,64,70,80],"bimanual":[56],"flexions.":[58],"A":[59],"new":[60],"method":[61],"spatiotemporal":[63],"spectral":[65],"feature":[66],"extraction":[67],"applied,":[69],"multi-class":[71],"support":[72],"vector":[73],"machine":[74],"(SVM)":[75],"classifiers":[76],"were":[77],"trained.":[78],"Predictions":[79],"probabilities":[81],"then":[82],"served":[83],"as":[84],"inputs":[85],"to":[86,124],"novel":[88],"voting":[89],"scheme,":[90],"which":[91],"output":[92],"system":[94],"decision.":[95],"The":[96],"present":[97],"approach":[98],"achieved":[99],"mean":[101],"population":[102],"(n=15)":[103],"accuracy":[104],"30.86\u00b11.76%,":[106],"nearly":[107],"twice":[108],"chance":[110],"guessing":[111],"level":[112],"(16.71\u00b11.68%)":[113],"six-class":[116],"task":[117],"evaluated.":[118],"Finger":[119],"is":[121],"thus":[122],"shown":[123],"be":[125],"classifiable":[126],"through":[127],"analysis":[129],"alone.":[130]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"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"}