{"id":"https://openalex.org/W2181758558","doi":null,"title":"Function Classification of EEG Signals Based on ANN","display_name":"Function Classification of EEG Signals Based on ANN","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2181758558","mag":"2181758558"},"language":"en","primary_location":{"id":"mag:2181758558","doi":null,"is_oa":false,"landing_page_url":"https://www.ijsce.org/attachments/File/v3i6/F2032013614.pdf","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},"volume":null,"type":"article","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/A5084634200","display_name":"Rajesh Kumar Singla","orcid":"https://orcid.org/0000-0003-2281-784X","observed_orcids":["https://orcid.org/0000-0003-2281-784X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajesh Singla","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048865707","display_name":"Neha Vaishnavi Sharma","orcid":"https://orcid.org/0000-0001-5103-6570","observed_orcids":["https://orcid.org/0000-0001-5103-6570"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neha Sharma","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5103-6570","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"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":0.9984999895095825,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.00039999998989515007,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/motor-imagery","display_name":"motor imagery","score":0.734000027179718},{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.8140000104904175},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.6549999713897705},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"discrete wavelet transform","score":0.9700000286102295},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"singular value decomposition","score":0.9900000095367432},{"id":"https://openalex.org/keywords/wrist-motion","display_name":"wrist kinematics","score":0.5429999828338623},{"id":"https://openalex.org/keywords/elbow-movement","display_name":"elbow movement","score":0.9330000281333923},{"id":"https://openalex.org/keywords/ankle-joint-motion","display_name":"ankle joint motion","score":0.7129999995231628},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6209999918937683}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6744892597198486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6584464311599731},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.5875056385993958},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5537313222885132},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5001347064971924},{"id":"https://openalex.org/C70026782","wikidata":"https://www.wikidata.org/wiki/Q16726164","display_name":"Clockwise","level":3,"score":0.49471184611320496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4933713972568512},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4891844093799591},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.47693246603012085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43416303396224976},{"id":"https://openalex.org/C2778216619","wikidata":"https://www.wikidata.org/wiki/Q185706","display_name":"Wrist","level":2,"score":0.4317131042480469},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4236380159854889},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4218839406967163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35328221321105957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3449205756187439},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.33555495738983154},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12815159559249878},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0885099470615387},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.07748696208000183},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2181758558","doi":null,"is_oa":false,"landing_page_url":"https://www.ijsce.org/attachments/File/v3i6/F2032013614.pdf","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":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1569512666","https://openalex.org/W2018364998","https://openalex.org/W2037211343","https://openalex.org/W2084204380","https://openalex.org/W2097826706","https://openalex.org/W2102176429","https://openalex.org/W2106006415","https://openalex.org/W2114029543","https://openalex.org/W2131321253","https://openalex.org/W2133651939","https://openalex.org/W2145302786","https://openalex.org/W2148702834","https://openalex.org/W2155758585","https://openalex.org/W2155980343","https://openalex.org/W2163727886","https://openalex.org/W2168512214"],"related_works":["https://openalex.org/W2560673291","https://openalex.org/W4220786892","https://openalex.org/W2584137332","https://openalex.org/W2321404547","https://openalex.org/W1990503319","https://openalex.org/W6941087334","https://openalex.org/W3183525236","https://openalex.org/W3102442915","https://openalex.org/W2366858976","https://openalex.org/W6941444930"],"abstract_inverted_index":{"The":[0],"motor":[1,13,39],"imagery":[2,40],"is":[3,68],"limited":[4],"in":[5,9,27],"pattern":[6],"variety,":[7],"so":[8],"our":[10],"work,":[11],"six":[12],"imageries":[14],"including":[15],"wrist,":[16],"elbow,":[17],"wrist":[18],"rotation":[19],"clockwise/anticlockwise":[20],"and":[21,42,51],"ankle":[22],"backward/forward":[23],"moment":[24],"were":[25,55],"used":[26,47,74],"this":[28],"system.":[29],"This":[30],"paper":[31],"described":[32],"the":[33,43],"auditory":[34],"paradigm":[35],"for":[36,48],"recording":[37],"of":[38],"signals":[41,54],"relevant":[44],"coefficient":[45],"was":[46],"signal":[49],"analysis":[50],"recognition.":[52],"EEG":[53],"decomposed":[56],"into":[57,80],"wavelet":[58,62],"coefficients":[59],"by":[60],"discrete":[61],"transform":[63],"on":[64],"which":[65],"SVD":[66],"technique":[67],"applied":[69],"to":[70],"get":[71],"singular":[72],"value":[73],"as":[75],"feature":[76],"vectors,":[77],"presenting":[78],"them":[79],"ANN":[81],"classifier.":[82]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}
