{"id":"https://openalex.org/W3008133468","doi":"https://doi.org/10.1109/ssci44817.2019.9003059","title":"Epileptic Seizure Prediction from EEG Signals Using DenseNet","display_name":"Epileptic Seizure Prediction from EEG Signals Using DenseNet","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008133468","doi":"https://doi.org/10.1109/ssci44817.2019.9003059","mag":"3008133468"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9003059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065798872","display_name":"Ranjan Jana","orcid":"https://orcid.org/0000-0002-1369-1264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ranjan Jana","raw_affiliation_strings":["Dept. of Information Technology, RCC Institute of Information Technology, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Technology, RCC Institute of Information Technology, Kolkata, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005258575","display_name":"Siddhartha Bhattacharyya","orcid":"https://orcid.org/0000-0003-0360-7919"},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siddhartha Bhattacharyya","raw_affiliation_strings":["Dept. of Computer Science, Christ University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Christ University, Bangalore, India","institution_ids":["https://openalex.org/I48018076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000078546","display_name":"Swagatam Das","orcid":"https://orcid.org/0000-0001-6843-4508"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swagatam Das","raw_affiliation_strings":["ECS Unit, Indian Statistical Institute, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECS Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"604","last_page":"609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9837999939918518,"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":0.8733099102973938},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.8285529017448425},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.6952240467071533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.668838381767273},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6205600500106812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6142667531967163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5638848543167114},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5528634190559387},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4646237790584564},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35495108366012573},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20857000350952148},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1813734471797943}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8733099102973938},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.8285529017448425},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6952240467071533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668838381767273},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6205600500106812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6142667531967163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5638848543167114},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5528634190559387},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4646237790584564},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35495108366012573},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20857000350952148},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1813734471797943},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci44817.2019.9003059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"mag:3041211223","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002279071248653","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1556131344","https://openalex.org/W1566689562","https://openalex.org/W1981898797","https://openalex.org/W2009902427","https://openalex.org/W2025668297","https://openalex.org/W2045394053","https://openalex.org/W2099771167","https://openalex.org/W2154685568","https://openalex.org/W2155390087","https://openalex.org/W2253429366","https://openalex.org/W2338092193","https://openalex.org/W2559873324","https://openalex.org/W2561299851","https://openalex.org/W2766958857","https://openalex.org/W2780723646","https://openalex.org/W2799610518","https://openalex.org/W2892993518","https://openalex.org/W2963446712","https://openalex.org/W6633205339"],"related_works":["https://openalex.org/W2075017247","https://openalex.org/W2405240590","https://openalex.org/W2809907213","https://openalex.org/W3091390542","https://openalex.org/W2032664813","https://openalex.org/W2166624857","https://openalex.org/W2363907062","https://openalex.org/W2393137063","https://openalex.org/W2899025944","https://openalex.org/W2331313489"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,13,22,34,82,108,133,147,162,175,203],"a":[2,67,112,120,197,223],"disorder":[3],"in":[4,10,111],"which":[5],"the":[6,11,35,42,46,60,116,155,173,179,182,240,257],"normal":[7],"electrical":[8,38],"pattern":[9],"brain":[12],"disrupted":[14],"causing":[15],"seizures":[16,50],"or":[17,29],"loss":[18],"of":[19,37,45,62,69,91,95,157,184,220,227,234],"consciousness.":[20],"Seizure":[21],"harmful":[23],"during":[24,193],"various":[25],"events":[26],"like":[27],"swimming":[28],"driving.":[30],"The":[31,64,78,128,152,211],"electroencephalogram":[32],"(EEG)":[33],"measurement":[36],"activity":[39],"received":[40],"from":[41,54,74],"nerve":[43],"cells":[44],"cerebral":[47],"cortex.":[48],"Forthcoming":[49],"can":[51],"be":[52],"predicted":[53],"scalp":[55],"EEG":[56,76,80,85,131,141,194],"signal":[57,81,86,142],"to":[58,115,125,165,178],"improve":[59],"quality":[61],"life.":[63],"study":[65],"proposes":[66],"method":[68],"automatic":[70,89],"epileptic":[71],"seizure":[72,258],"prediction":[73,225],"raw":[75,79],"signal.":[77],"converted":[83],"into":[84],"image":[87],"for":[88,135,143,154,181,205,239],"extraction":[90],"features":[92],"and":[93,97,138,159,190,222,237,251],"classification":[94,106,156],"inter-ictal":[96,158],"pre-ictal":[98,160],"state":[99,161,209],"using":[100,168],"Dense":[101],"Convolutional":[102],"Network":[103],"(DenseNet).":[104],"This":[105],"process":[107,117],"carried":[109],"out":[110],"manner":[113],"similar":[114],"followed":[118],"by":[119,167,188],"medical":[121],"practitioner":[122],"without":[123],"resorting":[124],"hand-crafted":[126],"features.":[127],"public":[129],"CHB-MIT":[130],"database":[132],"used":[134,204],"training,":[136],"validation,":[137],"testing.":[139],"An":[140],"1":[144],"second":[145],"duration":[146],"taken":[148],"as":[149],"one":[150],"sample.":[151],"accuracy":[153,174],"achieved":[163],"up":[164,177],"94%":[166],"5-Fold":[169],"cross":[170],"validation.":[171],"However,":[172],"not":[176],"mark":[180],"presence":[183],"common":[185],"artifacts":[186],"caused":[187],"eye-blinking":[189],"muscle":[191],"activities":[192],"recordings.":[195],"Hence,":[196],"30":[198],"seconds":[199],"pool":[200,213],"based":[201,214],"technique":[202,215],"decision":[206],"on":[207],"correct":[208],"identification.":[210],"proposed":[212],"provides":[216],"an":[217],"average":[218,232],"specificity":[219],"95.87%":[221],"false":[224],"rate":[226],"0.0413/hour.":[228],"It":[229],"also":[230],"provide":[231],"sensitivities":[233],"100%,":[235],"97%,":[236],"90%":[238],"time":[241],"slots":[242],"0":[243],"-":[244,248,253],"5":[245,247],"minutes,":[246,250],"10":[249,252],"15":[254],"minutes":[255],"before":[256],"event.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
