{"id":"https://openalex.org/W3025821205","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207719","title":"RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection","display_name":"RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3025821205","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207719","mag":"3025821205"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.07795","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Nicolas I. Tapia","orcid":null},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Nicolas I. Tapia","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Chile, Santiago, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pablo A. Estevez","orcid":null},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Pablo A. Estevez","raw_affiliation_strings":["Department of Electrical Engineering, Universidad de Chile, Santiago, Chile"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universidad de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":0.9081,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.71785937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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":0.9997000098228455,"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":0.982699990272522,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.7437999844551086},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7378000020980835},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5787000060081482},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5618000030517578},{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.5127999782562256},{"id":"https://openalex.org/keywords/sleep-spindle","display_name":"Sleep spindle","score":0.4945000112056732},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49070000648498535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45559999346733093}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7437999844551086},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7378000020980835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6299999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6226999759674072},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5787000060081482},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5618000030517578},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C143647101","wikidata":"https://www.wikidata.org/wiki/Q2738302","display_name":"Sleep spindle","level":4,"score":0.4945000112056732},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49070000648498535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45559999346733093},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45010000467300415},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43470001220703125},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3977000117301941},{"id":"https://openalex.org/C2910364982","wikidata":"https://www.wikidata.org/wiki/Q35831","display_name":"Sleep Stages","level":4,"score":0.3741999864578247},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.33899998664855957},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.33500000834465027},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.33329999446868896},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.3174000084400177},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C110539466","wikidata":"https://www.wikidata.org/wiki/Q3964845","display_name":"Slow-wave sleep","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28189998865127563},{"id":"https://openalex.org/C67359045","wikidata":"https://www.wikidata.org/wiki/Q14026181","display_name":"Event-related potential","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25189998745918274},{"id":"https://openalex.org/C2778681526","wikidata":"https://www.wikidata.org/wiki/Q420647","display_name":"Electrooculography","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.07795","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.07795","pdf_url":"https://arxiv.org/pdf/2005.07795","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repositorio.uchile.cl:2250/191081","is_oa":true,"landing_page_url":"https://repositorio.uchile.cl/handle/2250/191081","pdf_url":null,"source":{"id":"https://openalex.org/S4306481413","display_name":"Universidad de Chile","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks","raw_type":"Art\u00edculo de revista"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.07795","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.07795","pdf_url":"https://arxiv.org/pdf/2005.07795","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W49648094","https://openalex.org/W1587559447","https://openalex.org/W1983256092","https://openalex.org/W2019296815","https://openalex.org/W2039549548","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2083355945","https://openalex.org/W2102872007","https://openalex.org/W2103576720","https://openalex.org/W2116212371","https://openalex.org/W2142403514","https://openalex.org/W2338210172","https://openalex.org/W2461122361","https://openalex.org/W2536466788","https://openalex.org/W2778677359","https://openalex.org/W2886606283","https://openalex.org/W2888256665","https://openalex.org/W2891503716","https://openalex.org/W2903696695","https://openalex.org/W2917266614","https://openalex.org/W2952729290","https://openalex.org/W4251742697","https://openalex.org/W6631190155","https://openalex.org/W6638545294","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6729983426","https://openalex.org/W6734450073"],"related_works":[],"abstract_inverted_index":{"The":[0,198],"brain":[1],"electrical":[2],"activity":[3],"presents":[4],"several":[5],"short":[6],"events":[7,28],"during":[8],"sleep":[9,23,44,79,153,213],"that":[10],"can":[11,204],"be":[12,205],"observed":[13],"as":[14,22],"distinctive":[15],"microstructures":[16],"in":[17,43,151,184],"the":[18,96,106,110,132,140,146,149,170,181,193],"electroencephalogram":[19],"(EEG),":[20],"such":[21],"spindles":[24],"and":[25,35,56,74,124,155,166,203],"K-complexes.":[26],"These":[27],"have":[29],"been":[30],"associated":[31],"with":[32,109,158],"biological":[33],"processes":[34],"neurological":[36],"disorders,":[37],"making":[38],"them":[39],"a":[40,67,102,118,159,174,186,196],"research":[41],"topic":[42],"medicine.":[45],"However,":[46],"manual":[47],"detection":[48,82,157],"limits":[49],"their":[50],"study":[51],"because":[52],"it":[53],"is":[54,122,127,201],"time-consuming":[55],"affected":[57],"by":[58],"significant":[59],"inter-expert":[60],"variability,":[61],"motivating":[62],"automatic":[63],"approaches.":[64],"We":[65],"propose":[66],"deep":[68],"learning":[69],"approach":[70,200],"based":[71],"on":[72,139],"convolutional":[73],"recurrent":[75],"neural":[76],"networks":[77],"for":[78],"EEG":[80,98],"event":[81],"called":[83],"Recurrent":[84],"Event":[85],"Detector":[86],"(RED).":[87],"RED":[88],"uses":[89],"one":[90],"of":[91,105,135,148,162,195,212],"two":[92],"input":[93,189],"representations:":[94],"a)":[95],"time-domain":[97,179],"signal,":[99],"or":[100],"b)":[101],"complex":[103],"spectrogram":[104],"signal":[107],"obtained":[108,173],"Continuous":[111],"Wavelet":[112],"Transform":[113],"(CWT).":[114],"Unlike":[115],"previous":[116],"approaches,":[117],"fixed":[119],"time":[120],"window":[121],"avoided":[123],"temporal":[125],"context":[126],"integrated":[128],"to":[129,192,208],"better":[130],"emulate":[131],"visual":[133],"criteria":[134],"experts.":[136],"When":[137],"evaluated":[138],"MASS":[141],"dataset,":[142],"our":[143],"detectors":[144],"outperform":[145],"state":[147],"art":[150],"both":[152],"spindle":[154],"K-complex":[156],"mean":[160],"F1-score":[161],"at":[163],"least":[164],"80.9%":[165],"82.6%,":[167],"respectively.":[168],"Although":[169],"CWT-domain":[171],"model":[172],"similar":[175],"performance":[176],"than":[177],"its":[178],"counterpart,":[180],"former":[182],"allows":[183],"principle":[185],"more":[187],"interpretable":[188],"representation":[190],"due":[191],"use":[194],"spectrogram.":[197],"proposed":[199],"event-agnostic":[202],"used":[206],"directly":[207],"detect":[209],"other":[210],"types":[211],"events.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2020-05-21T00:00:00"}