{"id":"https://openalex.org/W3114293244","doi":"https://doi.org/10.23919/eusipco47968.2020.9287559","title":"Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features","display_name":"Epileptic Seizure Detection and Anticipation using Deep Learning with Ordered Encoding of Spectrogram Features","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3114293244","doi":"https://doi.org/10.23919/eusipco47968.2020.9287559","mag":"3114293244"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287559","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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/A5048369939","display_name":"Sameer Ranjan Sahu","orcid":"https://orcid.org/0000-0001-5088-0040"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sameer Ranjan Sahu","raw_affiliation_strings":["Indian Institute of Technology, Tirupati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014702481","display_name":"Rama Krishna Gorthi","orcid":"https://orcid.org/0000-0001-5021-0071"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rama Krishna Sai Subrahmanyam Gorthi","raw_affiliation_strings":["Indian Institute of Technology, Tirupati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001231357","display_name":"Subrahmanyam Gorthi","orcid":"https://orcid.org/0000-0003-1957-6985"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subrahmanyam Gorthi","raw_affiliation_strings":["Indian Institute of Technology, Tirupati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210109292"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1065","last_page":"1069"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.9393343925476074},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.7547220587730408},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.708907961845398},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.695794403553009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6841164827346802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6439052224159241},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5727019906044006},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5650081038475037},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5510587692260742},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5361725091934204},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5106354355812073},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5096385478973389},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4458240568637848},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4456339180469513},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.42897799611091614},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39178767800331116},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3687921166419983},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1461336612701416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13996970653533936},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10288220643997192}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9393343925476074},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.7547220587730408},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.708907961845398},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.695794403553009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6841164827346802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6439052224159241},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5727019906044006},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5650081038475037},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5510587692260742},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5361725091934204},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5106354355812073},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5096385478973389},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4458240568637848},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4456339180469513},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.42897799611091614},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39178767800331116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3687921166419983},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1461336612701416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13996970653533936},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10288220643997192},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/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:10.23919/eusipco47968.2020.9287559","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W299288671","https://openalex.org/W1965166602","https://openalex.org/W1998828740","https://openalex.org/W2074804320","https://openalex.org/W2097120763","https://openalex.org/W2112796928","https://openalex.org/W2138190513","https://openalex.org/W2142582849","https://openalex.org/W2162800060","https://openalex.org/W2295774550","https://openalex.org/W2462271429","https://openalex.org/W2749957338","https://openalex.org/W2759483166","https://openalex.org/W2790567680","https://openalex.org/W2894170005","https://openalex.org/W2914978058","https://openalex.org/W2924300997","https://openalex.org/W2970971581","https://openalex.org/W2973010960","https://openalex.org/W2994841289","https://openalex.org/W3103969290","https://openalex.org/W4288410936","https://openalex.org/W4295312788","https://openalex.org/W6680455596","https://openalex.org/W6761203375","https://openalex.org/W6766978945","https://openalex.org/W6785016186"],"related_works":["https://openalex.org/W1889291648","https://openalex.org/W2533590149","https://openalex.org/W335396218","https://openalex.org/W1504214173","https://openalex.org/W1600447354","https://openalex.org/W1589126043","https://openalex.org/W2035480840","https://openalex.org/W2602361891","https://openalex.org/W2149263408","https://openalex.org/W2107964963"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"signals":[2],"of":[3,13,30,51,63,71,93,95,112,142,172,190],"the":[4,11,26,34,37,41,48,61,64,72,104,124,146,149,166,170,181],"brain":[5],"play":[6],"a":[7,19,109,137,160],"vital":[8],"role":[9],"in":[10,54,69,186],"detection":[12,27,187],"epileptic":[14,31,191],"seizures.":[15,32,173,192],"This":[16,115],"paper":[17],"proposes":[18],"new":[20],"spectrogram-based":[21],"deep":[22],"learning":[23,130],"method":[24,39,151,168,176],"for":[25,129,169],"and":[28,56,86,100,145,188],"anticipation":[29,171,189],"Unlike":[33],"existing":[35,157,182],"methods,":[36],"proposed":[38,125,150,167,175],"formulates":[40],"feature":[42,65],"descriptor":[43,117],"such":[44],"that":[45],"it":[46],"retains":[47],"neighborhood":[49],"order":[50],"spectrograms":[52],"both":[53,185],"time":[55],"frequency,":[57],"while":[58],"significantly":[59],"reducing":[60],"dimensionality":[62],"descriptor.":[66],"The":[67,89,174],"spectrogram":[68],"each":[70,80,94],"18":[73],"EEG":[74,81,106,140],"channels":[75],"is":[76,98,118,163,177],"constructed":[77],"by":[78,108],"dividing":[79],"signal":[82,107],"into":[83],"3":[84],"time-blocks":[85],"19":[87],"frequency-blocks.":[88],"mean":[90],"magnitude":[91],"value":[92],"these":[96],"blocks":[97],"computed":[99],"thereby":[101],"compactly":[102],"representing":[103],"input":[105,122],"3D":[110],"tensor":[111,116],"size":[113],"18\u00d719\u00d73.":[114],"given":[119],"as":[120],"an":[121],"to":[123,179],"convolution":[126],"neural":[127],"network":[128],"high-level":[131],"features.":[132],"Evaluations":[133],"are":[134,152],"performed":[135,164],"on":[136],"publicly":[138],"available":[139],"dataset":[141],"23":[143],"patients":[144],"results":[147],"from":[148],"compared":[153],"with":[154],"9":[155],"other":[156],"methods.":[158],"Further,":[159],"five-class":[161],"classification":[162],"using":[165],"found":[178],"outperform":[180],"state-of-the-art":[183],"methods":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}