{"id":"https://openalex.org/W2185261435","doi":"https://doi.org/10.1109/iwcim.2015.7347063","title":"Sleep spindles detection using Empirical Mode Decomposition","display_name":"Sleep spindles detection using Empirical Mode Decomposition","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2185261435","doi":"https://doi.org/10.1109/iwcim.2015.7347063","mag":"2185261435"},"language":"en","primary_location":{"id":"doi:10.1109/iwcim.2015.7347063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcim.2015.7347063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)","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/A5060520531","display_name":"Elizaveta Saifutdinov\u00e1","orcid":"https://orcid.org/0000-0002-9838-7455"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"E. Saifutdinova","raw_affiliation_strings":["Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046208845","display_name":"V\u00e1clav Gerla","orcid":"https://orcid.org/0000-0002-6616-2112"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"V. Gerla","raw_affiliation_strings":["Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082158862","display_name":"Lenka Lhotsk\u00e1","orcid":"https://orcid.org/0000-0003-0742-5645"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"L. Lhotska","raw_affiliation_strings":["Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029095037","display_name":"Jana Kop\u0159ivov\u00e1","orcid":"https://orcid.org/0000-0002-3626-5372"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"J. Koprivova","raw_affiliation_strings":["Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009362685","display_name":"P. \u0160\u00f3\u0161","orcid":"https://orcid.org/0000-0002-3694-1289"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"P. Sos","raw_affiliation_strings":["Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Cybernetic, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060520531"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.3226,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60163965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9979000091552734,"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":0.9979000091552734,"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/T10985","display_name":"Sleep and Wakefulness Research","score":0.9973000288009644,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.764846682548523},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6779308319091797},{"id":"https://openalex.org/keywords/sleep-spindle","display_name":"Sleep spindle","score":0.6687302589416504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6337337493896484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6071004867553711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6054810285568237},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5742579102516174},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4352949857711792},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43175965547561646},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.4146488308906555},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3451313376426697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33277398347854614},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.29297423362731934},{"id":"https://openalex.org/keywords/non-rapid-eye-movement-sleep","display_name":"Non-rapid eye movement sleep","score":0.18604999780654907},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17539775371551514},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.10920044779777527},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10009810328483582}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.764846682548523},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6779308319091797},{"id":"https://openalex.org/C143647101","wikidata":"https://www.wikidata.org/wiki/Q2738302","display_name":"Sleep spindle","level":4,"score":0.6687302589416504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6337337493896484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6071004867553711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6054810285568237},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5742579102516174},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4352949857711792},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43175965547561646},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.4146488308906555},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3451313376426697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33277398347854614},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.29297423362731934},{"id":"https://openalex.org/C20566671","wikidata":"https://www.wikidata.org/wiki/Q1752878","display_name":"Non-rapid eye movement sleep","level":3,"score":0.18604999780654907},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17539775371551514},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.10920044779777527},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10009810328483582},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcim.2015.7347063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcim.2015.7347063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309972","display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze","ror":"https://ror.org/03kqpb082"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1593643573","https://openalex.org/W1767160910","https://openalex.org/W1975082906","https://openalex.org/W1982908638","https://openalex.org/W1991934169","https://openalex.org/W1992225639","https://openalex.org/W2011826793","https://openalex.org/W2012446274","https://openalex.org/W2013065248","https://openalex.org/W2034739975","https://openalex.org/W2038309664","https://openalex.org/W2048127115","https://openalex.org/W2050021364","https://openalex.org/W2053351759","https://openalex.org/W2066592035","https://openalex.org/W2072288110","https://openalex.org/W2077633827","https://openalex.org/W2083355945","https://openalex.org/W2122174543","https://openalex.org/W2127962952","https://openalex.org/W2130352608","https://openalex.org/W2135148159","https://openalex.org/W2142446482","https://openalex.org/W4250223583","https://openalex.org/W6659153993","https://openalex.org/W6663857188"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W2089603224","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"Sleep":[0],"spindles":[1],"are":[2,22],"very":[3],"important":[4],"EEG":[5],"patterns":[6],"in":[7],"modern":[8],"neuroscience.":[9],"There":[10],"were":[11,95,121],"developed":[12],"many":[13],"spindle":[14,34,40],"detection":[15,41],"algorithms,":[16],"but":[17],"not":[18],"all":[19],"of":[20,29,49,84,104],"them":[21],"suitable":[23],"for":[24,77],"patients":[25],"with":[26,124],"insomnia":[27],"because":[28],"artifacts,":[30],"movements":[31],"and":[32,47,91,113,128],"complicated":[33],"producing.":[35],"The":[36,97,119],"paper":[37],"presents":[38],"a":[39],"method":[42,98],"based":[43],"on":[44,102],"proper":[45],"preprocessing":[46],"classification":[48],"stationary":[50],"segments":[51],"using":[52,59],"Naive":[53],"Bayes":[54],"classifier.":[55],"Preprocessing":[56],"was":[57,111,117],"performed":[58],"Empirical":[60],"Mode":[61],"Decomposition,":[62],"which":[63],"decomposes":[64],"the":[65,72,82],"signal":[66,73,76],"into":[67],"trends.":[68],"Trends":[69],"rejecting":[70],"from":[71],"gives":[74],"filtered":[75],"feature":[78],"processing.":[79],"To":[80],"evaluate":[81],"quality":[83],"proposed":[85],"approach,":[86],"F-measure,":[87],"positive":[88,93],"predicative":[89],"value":[90],"true":[92],"rating":[94],"calculated.":[96],"shows":[99],"good":[100],"results":[101,120],"dataset":[103],"11":[105],"insomniac":[106],"patient:":[107],"F-measure":[108,114],"by":[109,115],"sample":[110],"40.72%":[112],"events":[116],"48.59%.":[118],"also":[122],"compared":[123],"Martin,":[125],"Molle,":[126],"Wendt":[127],"Ferallelli":[129],"methods.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
