{"id":"https://openalex.org/W2520653867","doi":"https://doi.org/10.1109/iwcmc.2016.7577053","title":"Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification","display_name":"Directed graph-based wireless EEG sensor channel selection approach for cognitive task classification","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2520653867","doi":"https://doi.org/10.1109/iwcmc.2016.7577053","mag":"2520653867"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2016.7577053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5051349198","display_name":"Abduljalil Mohamed","orcid":"https://orcid.org/0009-0003-0923-9982"},"institutions":[{"id":"https://openalex.org/I4210092050","display_name":"Ahmed Bin Mohammed Military College","ror":"https://ror.org/00c0xnf10","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210092050"]},{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":true,"raw_author_name":"Abduljalil Mohamed","raw_affiliation_strings":["Computer Science and Engineering Department, Qatar University, Doha, Qatar","Information Systems Department, Ahmed Bin Mohamed Military College, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Information Systems Department, Ahmed Bin Mohamed Military College, Doha, Qatar","institution_ids":["https://openalex.org/I4210092050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029126771","display_name":"Khaled Shaban","orcid":"https://orcid.org/0000-0002-5688-7515"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Khaled Bashir Shaban","raw_affiliation_strings":["Computer Science and Engineering Department, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021329808","display_name":"Amr Mohamed","orcid":"https://orcid.org/0000-0002-1583-7503"},"institutions":[{"id":"https://openalex.org/I4210092050","display_name":"Ahmed Bin Mohammed Military College","ror":"https://ror.org/00c0xnf10","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210092050"]},{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Amr Mohamed","raw_affiliation_strings":["Computer Science and Engineering Department, Qatar University, Doha, Qatar","Information Systems Department, Ahmed Bin Mohamed Military College, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]},{"raw_affiliation_string":"Information Systems Department, Ahmed Bin Mohamed Military College, Doha, Qatar","institution_ids":["https://openalex.org/I4210092050"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051349198"],"corresponding_institution_ids":["https://openalex.org/I4210092050","https://openalex.org/I60342839"],"apc_list":null,"apc_paid":null,"fwci":0.1625,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55224823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"176","last_page":"181"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9984999895095825,"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":0.9984999895095825,"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/T13052","display_name":"Molecular Communication and Nanonetworks","score":0.9984999895095825,"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/T11932","display_name":"Wireless Body Area Networks","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.7142133712768555},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7105845212936401},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6683984994888306},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5904141664505005},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.5364673137664795},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.5346307754516602},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5101192593574524},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.47664910554885864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3873951733112335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3530614972114563},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26443034410476685},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22529742121696472},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14914751052856445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142133712768555},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7105845212936401},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6683984994888306},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5904141664505005},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.5364673137664795},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.5346307754516602},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5101192593574524},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.47664910554885864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3873951733112335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3530614972114563},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26443034410476685},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22529742121696472},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14914751052856445},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc.2016.7577053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2016.7577053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/21068","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/21068","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"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":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W89256971","https://openalex.org/W1980041945","https://openalex.org/W2056083531","https://openalex.org/W2079767452","https://openalex.org/W2085099861","https://openalex.org/W2089997820","https://openalex.org/W2098802943","https://openalex.org/W2099540870","https://openalex.org/W2112375889","https://openalex.org/W2125675750","https://openalex.org/W2129148118","https://openalex.org/W2130924765","https://openalex.org/W2135514714","https://openalex.org/W2145947508","https://openalex.org/W2155665564","https://openalex.org/W2165618857","https://openalex.org/W2166744373","https://openalex.org/W6676893240","https://openalex.org/W6678906630"],"related_works":["https://openalex.org/W2146569528","https://openalex.org/W1998712144","https://openalex.org/W4287028074","https://openalex.org/W2106828717","https://openalex.org/W3191289342","https://openalex.org/W4300165677","https://openalex.org/W4297817344","https://openalex.org/W4292730466","https://openalex.org/W2372211403","https://openalex.org/W3164774158"],"abstract_inverted_index":{"Wireless":[0],"electroencephalogram":[1],"(EEG)":[2],"sensors":[3,22,54],"have":[4],"been":[5,195,202],"successfully":[6],"applied":[7],"in":[8,64,96,121,206],"many":[9],"medical":[10],"and":[11,30,126,215,222],"computer":[12],"brain":[13],"interface":[14],"classifications.":[15],"A":[16],"common":[17],"characteristic":[18],"of":[19,35,47,60,71,129,156,160,186],"wireless":[20],"EEG":[21,53,61,73,90,217],"is":[23,39,55,104,132,144,228],"that":[24,152,182,198],"they":[25],"are":[26,93],"low":[27],"powered":[28],"devices,":[29],"hence":[31],"an":[32,216],"efficient":[33],"usage":[34],"sensor":[36,91,218],"energy":[37,49],"resources":[38],"critical":[40],"for":[41,164,211],"any":[42,112],"practical":[43],"application.":[44],"One":[45],"way":[46],"minimizing":[48],"consumption":[50],"by":[51,56,106,134,204],"the":[52,58,65,69,89,116,123,127,139,154,157,161,183,207,223],"reducing":[57],"number":[59],"channels":[62,92],"participating":[63],"classification":[66,225],"process.":[67],"For":[68],"purpose":[70],"classifying":[72],"signals,":[74],"we":[75],"propose":[76],"a":[77,97,107,135,148,178,190,212],"directed":[78,149,174],"acyclic":[79,150],"graph":[80,143,151,175],"(DAG)-based":[81],"channel":[82,103,162,169,199],"selection":[83,170],"algorithm.":[84],"To":[85],"achieve":[86],"this":[87,130,173,187],"objective,":[88],"first":[94],"realized":[95],"complete":[98,142],"undirected":[99],"graph,":[100],"where":[101],"each":[102,165],"represented":[105],"node.":[108],"An":[109],"edge":[110],"between":[111,118],"two":[113],"nodes":[114,120],"indicates":[115],"collaboration":[117,131],"these":[119],"identifying":[122],"system":[124,214],"state;":[125],"significance":[128],"quantified":[133],"weight":[136,185],"assigned":[137],"to":[138,176],"edge.":[140],"The":[141,168],"then":[145],"reduced":[146,203],"into":[147],"encodes":[153],"knowledge":[155],"non-increasing":[158],"order":[159],"ranking":[163],"cognitive":[166],"task.":[167],"algorithm":[171],"utilizes":[172],"find":[177],"maximum":[179],"path":[180,188],"such":[181],"total":[184],"satisfies":[189],"predefined":[191],"threshold.":[192],"It":[193],"has":[194,201],"demonstrated":[196],"experimentally":[197],"utilization":[200],"50%":[205],"worst":[208],"case":[209],"scenario":[210],"three-state":[213],"with":[219],"14":[220],"channels;":[221],"best":[224],"accuracy":[226],"obtained":[227],"81%.":[229]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}