{"id":"https://openalex.org/W3015315737","doi":"https://doi.org/10.1109/icassp40776.2020.9054649","title":"A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition","display_name":"A Deep Learning Architecture for Epileptic Seizure Classification Based on Object and Action Recognition","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015315737","doi":"https://doi.org/10.1109/icassp40776.2020.9054649","mag":"3015315737"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5076347604","display_name":"Tam\u00e1s Kar\u00e1csony","orcid":"https://orcid.org/0000-0002-7899-1786"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Tamas Karacsony","raw_affiliation_strings":["Center for Biomedical Engineering Research, INESC TEC, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomedical Engineering Research, INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030607880","display_name":"Anna Mira Loesch-Biffar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Mira Loesch-Biffar","raw_affiliation_strings":["Epilepsy Center, University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epilepsy Center, University of Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062693974","display_name":"Christian Vollmar","orcid":"https://orcid.org/0000-0002-4630-7484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Vollmar","raw_affiliation_strings":["Epilepsy Center, University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epilepsy Center, University of Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056852085","display_name":"Soheyl Noachtar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soheyl Noachtar","raw_affiliation_strings":["Epilepsy Center, University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Epilepsy Center, University of Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015159230","display_name":"Jo\u00e3o Paulo Silva Cunha","orcid":"https://orcid.org/0000-0003-4131-9045"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Paulo Silva Cunha","raw_affiliation_strings":["Center for Biomedical Engineering Research, INESC TEC, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Biomedical Engineering Research, INESC TEC, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6622,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96110211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4117","last_page":"4121"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9926999807357788,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.827770471572876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440516948699951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6779199838638306},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5383902788162231},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5375713109970093},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4993884563446045},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4992992877960205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4417000412940979},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4371039569377899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4260335862636566},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.25973889231681824},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20665410161018372},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17212781310081482},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13157492876052856}],"concepts":[{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.827770471572876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440516948699951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6779199838638306},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5383902788162231},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5375713109970093},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4993884563446045},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4992992877960205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4417000412940979},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4371039569377899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4260335862636566},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25973889231681824},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20665410161018372},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17212781310081482},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13157492876052856},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W1964875525","https://openalex.org/W1997347401","https://openalex.org/W1999755779","https://openalex.org/W2030741897","https://openalex.org/W2052048899","https://openalex.org/W2062895901","https://openalex.org/W2101234009","https://openalex.org/W2107974789","https://openalex.org/W2108598243","https://openalex.org/W2167309854","https://openalex.org/W2288408787","https://openalex.org/W2326659174","https://openalex.org/W2462931682","https://openalex.org/W2514274305","https://openalex.org/W2528596420","https://openalex.org/W2619947201","https://openalex.org/W2762012795","https://openalex.org/W2798419532","https://openalex.org/W2888839432","https://openalex.org/W2914587576","https://openalex.org/W2938634896","https://openalex.org/W2962734576","https://openalex.org/W2963150697","https://openalex.org/W2963524571","https://openalex.org/W2964121744","https://openalex.org/W4248307879","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6675354045","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W3131673289","https://openalex.org/W4393011546","https://openalex.org/W3198847674"],"abstract_inverted_index":{"Epilepsy":[0],"affects":[1],"approximately":[2],"1%":[3],"of":[4,9,28,55,78,95,138,149],"the":[5,56,61,96,133,154,180,192],"world's":[6],"population.":[7],"Semi-ology":[8],"epileptic":[10],"seizures":[11,97],"contain":[12],"major":[13],"clinical":[14],"signs":[15],"to":[16,34,45,129,156],"classify":[17,132],"epilepsy":[18,105,170],"syndromes":[19],"currently":[20],"evaluated":[21],"by":[22,24],"epileptologists":[23],"simple":[25],"visual":[26],"inspection":[27],"video.":[29],"There":[30],"is":[31,73,100],"a":[32,145],"necessity":[33],"create":[35],"automatic":[36],"and":[37,43,51,118,127,131,162,189],"semiautomatic":[38],"methods":[39],"for":[40,75,166],"seizure":[41,87],"detection":[42,116],"classification":[44,77,142],"better":[46],"support":[47,157],"patient":[48],"monitoring":[49,106,171],"management":[50],"diagnostic":[52,160],"decisions.":[53],"One":[54],"current":[57],"promising":[58],"approaches":[59],"are":[60],"marker-less":[62],"computer-vision":[63],"techniques.":[64],"In":[65],"this":[66],"paper":[67],"an":[68],"end-to-end":[69],"deep":[70],"learning":[71,112],"approach":[72],"proposed":[74],"binary":[76],"Frontal":[79],"vs.":[80],"Temporal":[81],"Lobe":[82],"Epilepsies":[83],"based":[84],"solely":[85],"on":[86],"videos.":[88],"The":[89,108,140],"system":[90],"utilizes":[91],"infrared":[92],"(IR)":[93],"videos":[94],"as":[98,125],"it":[99,174],"used":[101,178],"24/7":[102],"in":[103,169,179],"hospitals'":[104],"units.":[107,172],"architecture":[109,143,152],"employs":[110],"transfer":[111],"from":[113,191],"large":[114],"object":[115],"\"static\"":[117],"human":[119],"action":[120],"recognition":[121],"\"dynamic\"":[122],"datasets":[123],"such":[124],"ImageNet":[126],"Kinectics-400,":[128],"extract":[130],"clinically":[134],"known":[135],"spatiotemporal":[136],"features":[137],"seizures.":[139,193],"developed":[141],"achieves":[144],"5-fold":[146],"cross-validation":[147],"f1-score":[148],"0.844\u00b10.042.":[150],"This":[151],"has":[153],"potential":[155],"physicians":[158],"with":[159,183],"decisions":[161],"might":[163],"be":[164,176],"applied":[165],"online":[167],"applications":[168],"Furthermore,":[173],"may":[175],"jointly":[177],"near":[181],"future":[182],"synchronized":[184],"scene":[185],"depth":[186],"3D":[187],"information":[188],"EEG":[190]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
