{"id":"https://openalex.org/W3089251233","doi":"https://doi.org/10.1109/is48319.2020.9199843","title":"Data Science Modeling for EEG Signal Filtering Using Wavelet Transforms","display_name":"Data Science Modeling for EEG Signal Filtering Using Wavelet Transforms","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3089251233","doi":"https://doi.org/10.1109/is48319.2020.9199843","mag":"3089251233"},"language":"en","primary_location":{"id":"doi:10.1109/is48319.2020.9199843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is48319.2020.9199843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 10th International Conference on Intelligent Systems (IS)","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/A5073011163","display_name":"Ivan Garvanov","orcid":"https://orcid.org/0000-0003-3113-1751"},"institutions":[{"id":"https://openalex.org/I190032430","display_name":"University of Library Studies and Information Technologies","ror":"https://ror.org/001nkz398","country_code":"BG","type":"education","lineage":["https://openalex.org/I190032430"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Ivan Garvanov","raw_affiliation_strings":["University of Library Studies and Information Technologies, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Library Studies and Information Technologies, Sofia, Bulgaria","institution_ids":["https://openalex.org/I190032430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074143529","display_name":"Vladimir Jotsov","orcid":"https://orcid.org/0000-0002-2860-7918"},"institutions":[{"id":"https://openalex.org/I190032430","display_name":"University of Library Studies and Information Technologies","ror":"https://ror.org/001nkz398","country_code":"BG","type":"education","lineage":["https://openalex.org/I190032430"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Vladimir Jotsov","raw_affiliation_strings":["University of Library Studies and Information Technologies, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Library Studies and Information Technologies, Sofia, Bulgaria","institution_ids":["https://openalex.org/I190032430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046110892","display_name":"\u041c\u0430\u0433\u0434\u0430\u043b\u0435\u043d\u0430 \u0413\u0430\u0440\u0432\u0430\u043d\u043e\u0432\u0430","orcid":null},"institutions":[{"id":"https://openalex.org/I190032430","display_name":"University of Library Studies and Information Technologies","ror":"https://ror.org/001nkz398","country_code":"BG","type":"education","lineage":["https://openalex.org/I190032430"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Magdalena Garvanova","raw_affiliation_strings":["University of Library Studies and Information Technologies, Sofia, Bulgaria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Library Studies and Information Technologies, Sofia, Bulgaria","institution_ids":["https://openalex.org/I190032430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5416,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74087979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"352","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.996999979019165,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9944000244140625,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7115297317504883},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6684149503707886},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6192250847816467},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.618318498134613},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6031208038330078},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5811127424240112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5760473608970642},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.566140353679657},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5081939697265625},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5074633955955505},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49301406741142273},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.47723865509033203},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40345117449760437},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1500169336795807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115297317504883},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6684149503707886},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6192250847816467},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.618318498134613},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6031208038330078},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5811127424240112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5760473608970642},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.566140353679657},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5081939697265625},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5074633955955505},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49301406741142273},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.47723865509033203},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40345117449760437},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1500169336795807},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is48319.2020.9199843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is48319.2020.9199843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 10th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W3872339","https://openalex.org/W48754987","https://openalex.org/W1999771120","https://openalex.org/W2021345747","https://openalex.org/W2043729845","https://openalex.org/W2071679198","https://openalex.org/W2102417399","https://openalex.org/W2114740540","https://openalex.org/W2134251665","https://openalex.org/W2140926781","https://openalex.org/W2161308234","https://openalex.org/W2464862435","https://openalex.org/W2543645910","https://openalex.org/W2741210206","https://openalex.org/W2903349465","https://openalex.org/W2964884137","https://openalex.org/W2966757215","https://openalex.org/W2979363924","https://openalex.org/W3049411026","https://openalex.org/W6600153387","https://openalex.org/W6679705368"],"related_works":["https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W2172291505","https://openalex.org/W2023142747","https://openalex.org/W2037009764","https://openalex.org/W2063036707","https://openalex.org/W2501033992","https://openalex.org/W2377605153","https://openalex.org/W1967182499","https://openalex.org/W2088723847"],"abstract_inverted_index":{"Modeling":[0],"and":[1,52,87,106],"constraint":[2],"satisfaction":[3],"applications":[4],"had":[5,110],"been":[6,111],"considered":[7],"aiming":[8],"at":[9],"diminishing":[10],"the":[11,15,40,46,61,66,70,79],"manual":[12],"labor":[13],"during":[14],"wavelet":[16,82,89],"signal":[17],"filtering.":[18],"Electroencephalogram":[19],"(EEG)":[20],"signals":[21,48,64],"are":[22,49,55],"easily":[23],"affected":[24],"by":[25],"various":[26],"noise":[27,30,34],"sources.":[28],"The":[29,43,91],"can":[31,36],"be":[32,37,58],"electrode":[33],"or":[35],"generated":[38],"from":[39,60],"body":[41],"itself.":[42],"noises":[44],"in":[45],"EEG":[47,63,98],"called":[50],"artifacts":[51,54],"these":[53],"needed":[56],"to":[57],"removed":[59],"original":[62],"for":[65],"proper":[67],"analysis":[68],"of":[69,81],"signals.":[71,99],"This":[72],"work":[73],"presents":[74],"denoising":[75],"algorithm":[76,93],"based":[77],"on":[78],"combination":[80],"transform":[83],"(WT),":[84],"threshold":[85],"processing":[86],"inverse":[88],"transform.":[90],"proposed":[92],"is":[94],"tested":[95],"using":[96],"real":[97],"To":[100],"improve":[101],"its":[102],"efficiency,":[103],"different":[104],"modeling":[105],"data":[107],"preprocessing":[108],"methods":[109],"applied.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}