{"id":"https://openalex.org/W2005548421","doi":"https://doi.org/10.1145/1980022.1980314","title":"Epilepsy disorder detection by EEG signal decomposition using wavelet transform","display_name":"Epilepsy disorder detection by EEG signal decomposition using wavelet transform","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2005548421","doi":"https://doi.org/10.1145/1980022.1980314","mag":"2005548421"},"language":"en","primary_location":{"id":"doi:10.1145/1980022.1980314","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference &amp; Workshop on Emerging Trends in Technology - ICWET '11","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/A5113144482","display_name":"Rajesh More","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163301","display_name":"Sinhgad Dental College and Hospital","ror":"https://ror.org/0522w3m69","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210163301"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R. More","raw_affiliation_strings":["Sinhgad College of Engineering, Pune, Maharashtra, India","Sinhgad College of engineering, Pune, Maharashtra, INDIA"],"affiliations":[{"raw_affiliation_string":"Sinhgad College of Engineering, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I4210163301"]},{"raw_affiliation_string":"Sinhgad College of engineering, Pune, Maharashtra, INDIA","institution_ids":["https://openalex.org/I4210163301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089804358","display_name":"R. S. Kawitkar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163301","display_name":"Sinhgad Dental College and Hospital","ror":"https://ror.org/0522w3m69","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I4210163301"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. S. Kawitkar","raw_affiliation_strings":["Sinhgad College of Engineering, Pune, Maharashtra, India","Sinhgad College of engineering, Pune, Maharashtra, INDIA"],"affiliations":[{"raw_affiliation_string":"Sinhgad College of Engineering, Pune, Maharashtra, India","institution_ids":["https://openalex.org/I4210163301"]},{"raw_affiliation_string":"Sinhgad College of engineering, Pune, Maharashtra, INDIA","institution_ids":["https://openalex.org/I4210163301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113144482"],"corresponding_institution_ids":["https://openalex.org/I4210163301"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09052157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1325","last_page":"1325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9965000152587891,"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":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9645000100135803,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9205999970436096,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/electroencephalography","display_name":"Electroencephalography","score":0.8289110660552979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031662464141846},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.662886381149292},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6608096361160278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291722655296326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.585768461227417},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.573891818523407},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48133572936058044},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4690461754798889},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4327276647090912},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41817405819892883},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37625062465667725},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.22522401809692383},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1139473021030426},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.08999958634376526},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08694368600845337},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06277143955230713}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8289110660552979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031662464141846},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.662886381149292},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6608096361160278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291722655296326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.585768461227417},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.573891818523407},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48133572936058044},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4690461754798889},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4327276647090912},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41817405819892883},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37625062465667725},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.22522401809692383},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1139473021030426},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.08999958634376526},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08694368600845337},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06277143955230713},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1980022.1980314","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1980022.1980314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference &amp; Workshop on Emerging Trends in Technology - ICWET '11","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2110444396","https://openalex.org/W2111913888","https://openalex.org/W2534468602"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W4367555392","https://openalex.org/W2374664672","https://openalex.org/W2056136368","https://openalex.org/W2367940508","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Electroencephalography":[0],"is":[1,18,61,67,82,112],"a":[2],"medical":[3],"imaging":[4],"technique":[5],"that":[6],"reads":[7],"scalp":[8,30],"electrical":[9,21],"activity":[10,22],"generated":[11],"by":[12,36,96,121],"brain":[13],"structures.":[14],"The":[15,53,76],"electroencephalogram":[16],"(EEG)":[17],"defined":[19],"as":[20,65,142],"of":[23,55,70,79,135,155,159,164,177],"an":[24],"alternating":[25],"type":[26],"recorded":[27],"from":[28,49,58,93],"the":[29,50,71,89,94,118,136,146,153,162,171],"surface":[31],"after":[32],"being":[33],"picked":[34],"up":[35],"metal":[37],"electrodes":[38],"and":[39,168,174],"conductive":[40],"media.":[41],"We":[42],"will":[43],"refer":[44],"only":[45],"to":[46,83,87,105],"EEG":[47,59,178],"measured":[48,137],"head":[51],"surface.":[52],"recognition":[54,154,165],"epileptic":[56,90,156],"waveform":[57,91],"signal":[60,99],"important":[62],"physiological":[63],"task":[64,176],"epilepsy":[66],"still":[68],"one":[69],"most":[72],"frequently":[73],"occurring":[74],"disorder.":[75],"main":[77],"aim":[78],"this":[80],"paper":[81],"provide":[84],"new":[85],"method":[86],"diagnose":[88],"directly":[92],"EEG,":[95],"performing":[97],"quick":[98],"processing":[100],"which":[101,151],"makes":[102,161,170],"it":[103],"possible":[104],"apply":[106],"in":[107,114],"on-line":[108,172],"monitoring":[109,173],"system.":[110],"This":[111],"done":[113],"two":[115],"steps.":[116],"In":[117],"first":[119],"step,":[120],"using":[122],"multi-resolution":[123],"wavelet":[124],"decomposition,":[125],"we":[126],"obtain":[127],"different":[128],"spectral":[129],"components":[130,140],"(\u03b1,":[131],"\u03b2,":[132],"\u03b4,":[133],"\u03b8)":[134],"signal.":[138],"These":[139],"serve":[141],"input":[143],"signals":[144],"for":[145],"artificial":[147],"neural":[148],"network":[149],"(ANN),":[150],"accomplishes":[152],"waveforms.":[157],"Use":[158],"ANN":[160],"rate":[163],"very":[166],"high":[167],"also":[169],"'paperless'":[175],"analysis.":[179]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
