{"id":"https://openalex.org/W3206517455","doi":null,"title":"COMBINING ELECTROENCEPHALOGRAPHY AND FUNCTIONAL NEAR INFRARED SPECTROSCOPY TO IMPROVE ACCURACIES IN INTERPRETING INTENT DURING MOTOR IMAGERY TASKS FOR USE IN BRAIN COMPUTER INTERFACES","display_name":"COMBINING ELECTROENCEPHALOGRAPHY AND FUNCTIONAL NEAR INFRARED SPECTROSCOPY TO IMPROVE ACCURACIES IN INTERPRETING INTENT DURING MOTOR IMAGERY TASKS FOR USE IN BRAIN COMPUTER INTERFACES","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3206517455","mag":"3206517455"},"language":"en","primary_location":{"id":"pmh:oai:queensu.scholaris.ca:1974/28941","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1974/28941","pdf_url":null,"source":{"id":"https://openalex.org/S4306402568","display_name":"QSpace (Queen's University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204722609","host_organization_name":"Queen's University","host_organization_lineage":["https://openalex.org/I204722609"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"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/A5026716277","display_name":"Amir H. Moslehi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amir H. Moslehi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026716277"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9994999766349792,"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":0.9994999766349792,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.9200000166893005},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"motor imagery","score":0.9599999785423279},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.875},{"id":"https://openalex.org/keywords/functional-near-infrared-spectroscopy","display_name":"functional near-infrared spectroscopy","score":0.9049999713897705},{"id":"https://openalex.org/keywords/hemoglobin-levels","display_name":"hemoglobin levels","score":0.6549999713897705},{"id":"https://openalex.org/keywords/deoxyhemoglobin","display_name":"deoxyhemoglobin","score":0.734000027179718},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.5640000104904175},{"id":"https://openalex.org/keywords/classifier-comparison","display_name":"classifier comparison","score":0.8619999885559082},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7319999933242798},{"id":"https://openalex.org/keywords/quadratic-discriminant-analysis","display_name":"quadratic discriminant analysis","score":0.9800000190734863},{"id":"https://openalex.org/keywords/channel-selection","display_name":"channel selection","score":0.906000018119812},{"id":"https://openalex.org/keywords/eeg-electrode-placement","display_name":"EEG electrode placement","score":0.7559999823570251},{"id":"https://openalex.org/keywords/hand-motor-imagery","display_name":"hand motor imagery","score":0.46700000762939453}],"concepts":[{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.8312515616416931},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7977060079574585},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7710082530975342},{"id":"https://openalex.org/C130796691","wikidata":"https://www.wikidata.org/wiki/Q750537","display_name":"Functional near-infrared spectroscopy","level":4,"score":0.5538116693496704},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.5032989382743835},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.44014236330986023},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.38323143124580383},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.37941184639930725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34454619884490967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34005317091941833},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.15394511818885803},{"id":"https://openalex.org/C2781195155","wikidata":"https://www.wikidata.org/wiki/Q18680","display_name":"Prefrontal cortex","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:queensu.scholaris.ca:1974/28941","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1974/28941","pdf_url":null,"source":{"id":"https://openalex.org/S4306402568","display_name":"QSpace (Queen's University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I204722609","host_organization_name":"Queen's University","host_organization_lineage":["https://openalex.org/I204722609"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"thesis"},{"id":"mag:3206517455","doi":null,"is_oa":false,"landing_page_url":"https://qspace.library.queensu.ca/handle/1974/28941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6240000128746033,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W621251951","https://openalex.org/W1967681807","https://openalex.org/W1967765022","https://openalex.org/W1975473980","https://openalex.org/W1976715276","https://openalex.org/W1978339758","https://openalex.org/W1979421079","https://openalex.org/W1984783862","https://openalex.org/W1991369595","https://openalex.org/W1994225039","https://openalex.org/W2003867730","https://openalex.org/W2008718302","https://openalex.org/W2010872261","https://openalex.org/W2022021629","https://openalex.org/W2025001919","https://openalex.org/W2030729605","https://openalex.org/W2036243708","https://openalex.org/W2047401359","https://openalex.org/W2053158561","https://openalex.org/W2074591889","https://openalex.org/W2076536689","https://openalex.org/W2088155906","https://openalex.org/W2091493015","https://openalex.org/W2093699922","https://openalex.org/W2095356417","https://openalex.org/W2096880965","https://openalex.org/W2098100592","https://openalex.org/W2101036104","https://openalex.org/W2107635023","https://openalex.org/W2116308679","https://openalex.org/W2118040411","https://openalex.org/W2128495200","https://openalex.org/W2128909182","https://openalex.org/W2131412735","https://openalex.org/W2150844196","https://openalex.org/W2154559933","https://openalex.org/W2159759971","https://openalex.org/W2161918244","https://openalex.org/W2231596722","https://openalex.org/W2286152596","https://openalex.org/W2316791108","https://openalex.org/W2477976998","https://openalex.org/W2540507509","https://openalex.org/W2549848578","https://openalex.org/W2552578398","https://openalex.org/W2557883384","https://openalex.org/W2594278748","https://openalex.org/W2754014436","https://openalex.org/W2769474643","https://openalex.org/W2792264530","https://openalex.org/W2792881371","https://openalex.org/W2794345050","https://openalex.org/W2886316654","https://openalex.org/W2909078313","https://openalex.org/W2923742357","https://openalex.org/W2972418532","https://openalex.org/W2994045038"],"related_works":["https://openalex.org/W2076456816","https://openalex.org/W1877994913","https://openalex.org/W1991204156","https://openalex.org/W2990561443","https://openalex.org/W2568334278","https://openalex.org/W3158453422","https://openalex.org/W3081671084","https://openalex.org/W4200188613","https://openalex.org/W2010872261","https://openalex.org/W4396985423"],"abstract_inverted_index":{"A":[0],"Brain":[1],"Computer":[2],"Interface":[3],"(BCI)":[4],"system":[5,309,327],"can":[6],"bypass":[7],"impaired":[8],"systems":[9,34],"in":[10,68,93,137,159,244,259,284,329,332],"the":[11,23,28,37,47,50,73,83,94,144,152,156,160,199,206,219,232,245,260,280,285,296,302],"brain,":[12],"nervous":[13],"system,":[14],"and":[15,21,54,89,102,110,128,147,174,176,181,192,203,212,223,229,239,250,254,269,307,319,325],"muscles":[16],"to":[17,25,117,124,150,197,264,278,290,294,317,336],"enable":[18],"alternate":[19],"function":[20],"allow":[22],"user":[24],"reconnect":[26],"with":[27,205,252],"outside":[29],"environment.":[30],"Measurements":[31],"for":[32],"these":[33],"usually":[35],"include":[36],"collection":[38],"of":[39,49,86,134,163,201,214,221,225,241,282,298,304],"brain":[40,65,95,119,145],"signal":[41],"activity":[42,75],"from":[43,143],"sensors":[44,283],"mounted":[45],"on":[46],"surface":[48],"scalp.":[51],"Electroencephalography":[52],"(EEG)":[53],"functional":[55],"near":[56],"infrared":[57],"spectroscopy":[58],"(fNIRS)":[59],"are":[60,130,141],"two":[61,131],"commonly":[62],"used":[63,116],"non-invasive":[64],"imaging":[66],"modalities":[67],"BCI":[69,136,286],"systems.":[70],"EEG":[71,101,299,306,318,324,337],"records":[72],"electrical":[74],"produced":[76,231],"by":[77,312],"neuronal":[78],"activations":[79],"whereas":[80,237],"fNIRS":[81,103,157,292,308,320,326,339],"measures":[82],"concentration":[84],"changes":[85],"oxy-":[87],"(HbO)":[88],"deoxyhemoglobin":[90],"(HbR)":[91],"molecules":[92],"cortex.":[96],"In":[97],"this":[98,164,271],"thesis,":[99,165],"both":[100],"data":[104,158],"collected":[105],"during":[106],"a":[107,135,274,288],"bilateral":[108],"right-":[109],"left-hand":[111],"motor":[112],"imagery":[113],"task":[114],"were":[115,168,195],"detect":[118],"signals":[120,146],"that":[121],"suggest":[122],"intent":[123],"move.":[125],"Feature":[126],"extraction":[127],"classification":[129,177,315,333],"important":[132],"components":[133],"which":[138],"discriminant":[139,183],"features":[140,167,202],"extracted":[142,169],"then":[148],"decoded":[149],"interpret":[151],"user\u2019s":[153],"intent.":[154],"Using":[155,267],"first":[161],"part":[162],"different":[166],"(mean,":[170],"peak,":[171,211],"minimum,":[172],"skewness,":[173],"kurtosis)":[175],"algorithms":[178],"(linear":[179],"(LDA)":[180],"quadratic":[182],"analysis":[184],"(QDA),":[185],"support":[186],"vector":[187],"machine":[188],"(SVM),":[189],"Logistic":[190],"Regression,":[191],"Na\u00efve":[193],"Bayes)":[194],"compared":[196,263,335],"find":[198],"set":[200],"classifiers":[204],"highest":[207,233,261],"accuracy.":[208],"The":[209,322],"mean,":[210],"minimum":[213],"HbO,":[215],"as":[216,218],"well":[217],"mean":[220,224],"HbR":[222,230],"difference":[226],"between":[227],"HbO":[228,242],"accuracies":[234,262,316,334],"among":[235],"features,":[236],"skewness":[238],"kurtosis":[240],"resulted":[243,258,328],"lowest":[246],"accuracies.":[247],"Furthermore,":[248],"QDA":[249,268],"SVM":[251],"polynomial":[253],"Gaussian":[255],"kernel":[256],"functions":[257],"other":[265],"classifiers.":[266],"SVM,":[270],"study":[272],"assessed":[273],"channel":[275],"selection":[276],"algorithm":[277],"reduce":[279],"number":[281],"examining":[287],"strategy":[289],"use":[291],"results":[293],"target":[295],"placement":[297],"electrodes.":[300],"Lastly,":[301],"feasibility":[303],"hybrid":[305],"was":[310],"investigated":[311],"comparing":[313],"corresponding":[314],"alone.":[321,340],"combined":[323],"significant":[330],"improvements":[331],"or":[338]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2021-10-25T00:00:00"}