{"id":"https://openalex.org/W4294751550","doi":"https://doi.org/10.1142/s0219467823500535","title":"Optimized Neural Network with Refined Features for Categorization of Motor Imaginary Signals","display_name":"Optimized Neural Network with Refined Features for Categorization of Motor Imaginary Signals","publication_year":2022,"publication_date":"2022-09-05","ids":{"openalex":"https://openalex.org/W4294751550","doi":"https://doi.org/10.1142/s0219467823500535"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467823500535","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500535","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5050831118","display_name":"Megha M. Wankhade","orcid":"https://orcid.org/0009-0006-8573-7707"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]},{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]},{"id":"https://openalex.org/I4387153387","display_name":"AISSMS Institute of Information Technology","ror":"https://ror.org/01bg3pz19","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153387"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Megha M. Wankhade","raw_affiliation_strings":["Department of Electronics & Telecommunication Engineering, AISSMS Institute of Information Technology, Pune 411001, Maharashtra, India","Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Affiliated to S.\u00a0P.\u00a0Pune University, Pune, India","Research Scholar, Department of Electronics & Telecommunication Engineering, AISSMS Institute of Information Technology, Pune 411001, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics & Telecommunication Engineering, AISSMS Institute of Information Technology, Pune 411001, Maharashtra, India","institution_ids":["https://openalex.org/I188963388"]},{"raw_affiliation_string":"Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Affiliated to S.\u00a0P.\u00a0Pune University, Pune, India","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"Research Scholar, Department of Electronics & Telecommunication Engineering, AISSMS Institute of Information Technology, Pune 411001, Maharashtra, India","institution_ids":["https://openalex.org/I188963388","https://openalex.org/I4387153387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052236939","display_name":"S. S. Chorage","orcid":"https://orcid.org/0000-0002-4185-8156"},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suvarna S. Chorage","raw_affiliation_strings":["Department of Electronics & Telecommunication Engineering, Bharati Vidyapeeth\u2019s College of Engineering for Women, Pune 411043, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics & Telecommunication Engineering, Bharati Vidyapeeth\u2019s College of Engineering for Women, Pune 411043, Maharashtra, India","institution_ids":["https://openalex.org/I887998513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050831118"],"corresponding_institution_ids":["https://openalex.org/I188963388","https://openalex.org/I4387153387","https://openalex.org/I878213199"],"apc_list":null,"apc_paid":null,"fwci":0.2317,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4929039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":"06","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":0.9998000264167786,"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":0.9998000264167786,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9176999926567078,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7433760166168213},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7328982949256897},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.678926944732666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6263598799705505},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.617797315120697},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5428736805915833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5393462181091309},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5123959183692932},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4566362202167511},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4330388009548187},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3308703601360321},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15265464782714844},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09698015451431274}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7433760166168213},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7328982949256897},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.678926944732666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6263598799705505},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.617797315120697},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5428736805915833},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5393462181091309},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5123959183692932},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4566362202167511},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4330388009548187},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3308703601360321},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15265464782714844},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09698015451431274},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467823500535","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500535","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2011485792","https://openalex.org/W2012485898","https://openalex.org/W2039930961","https://openalex.org/W2100874881","https://openalex.org/W2131321253","https://openalex.org/W2147854680","https://openalex.org/W2158812543","https://openalex.org/W2165892205","https://openalex.org/W2240753140","https://openalex.org/W2518102122","https://openalex.org/W2551178936","https://openalex.org/W2611482981","https://openalex.org/W2765815105","https://openalex.org/W2796435388","https://openalex.org/W2866195781","https://openalex.org/W2888099299","https://openalex.org/W2901948205","https://openalex.org/W2909019886","https://openalex.org/W2913374038","https://openalex.org/W2915330174","https://openalex.org/W2966442477","https://openalex.org/W2996870312","https://openalex.org/W2998852862","https://openalex.org/W3004907012","https://openalex.org/W3009232581","https://openalex.org/W3009861064","https://openalex.org/W3011120676","https://openalex.org/W3017713773","https://openalex.org/W3026899257","https://openalex.org/W3127935830","https://openalex.org/W3155355436"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2165912799","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W2889342546","https://openalex.org/W2735662278","https://openalex.org/W3004117467","https://openalex.org/W2106231951","https://openalex.org/W2032664813"],"abstract_inverted_index":{"Motor":[0],"imaginary":[1,22],"(MI)":[2],"is":[3,18,30,58,141],"an":[4],"attractive":[5],"research":[6,87,104],"field":[7],"in":[8,14,39,66],"the":[9,16,21,26,33,45,75,107,121,126,133,136,145,166,170,176],"brain\u2013computer":[10],"interfaces":[11],"(BCIs)":[12],"function,":[13],"which":[15,119],"system":[17],"directed":[19],"by":[20,143],"arm":[23],"movement":[24],"of":[25,48,102,135,169],"subject.":[27],"This":[28,86],"attention":[29],"due":[31],"to":[32,154,175],"monstrous":[34],"potential":[35],"for":[36,61],"its":[37],"pertinence":[38],"neurorestoration,":[40],"neuroprosthetics,":[41],"and":[42,83,149,161],"gaming,":[43],"where":[44],"client\u2019s":[46],"considerations":[47],"envisioned":[49],"developments":[50],"should":[51],"be":[52],"decoded.":[53],"An":[54],"electroencephalography":[55],"(EEG)":[56],"device":[57],"regularly":[59],"utilized":[60],"monitoring":[62],"frontal":[63],"cortex":[64],"movements":[65],"BCI":[67,146],"frameworks.":[68],"The":[69,100,129,139,163],"EEG":[70,127],"signals":[71],"are":[72],"perceived":[73],"through":[74],"two":[76],"fundamental":[77],"processes":[78],"such":[79,157],"as":[80,116,158],"feature":[81,124],"extraction":[82],"characterization":[84],"process.":[85],"concentrates":[88],"on":[89,106],"developing":[90],"a":[91],"predominant":[92],"MI":[93],"categorization":[94],"model":[95],"utilizing":[96,144],"deep":[97],"learning":[98],"techniques.":[99],"prominence":[101],"this":[103],"relies":[105],"combined":[108],"features":[109,131],"+":[110],"proposed":[111,171],"PROA-based":[112],"RideNN":[113,137],"process":[114],"known":[115],"holo-entropy-based":[117],"WPD,":[118],"extracts":[120],"most":[122],"dominant":[123],"from":[125],"signals.":[128],"extracted":[130],"enhance":[132],"performance":[134,155,168],"classifier.":[138],"analysis":[140,164],"done":[142],"Competition-IV-2a,":[147],"-2b,":[148],"GigaScience":[150],"datasets":[151],"with":[152,173],"respect":[153,174],"parameters,":[156],"specificity,":[159],"accuracy,":[160],"sensitivity.":[162],"revealed":[165],"effective":[167],"method":[172],"existing":[177],"state-of-art":[178],"methodologies.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
