{"id":"https://openalex.org/W3015504841","doi":"https://doi.org/10.1109/icassp40776.2020.9052948","title":"Classification of Epileptic IEEG Signals by CNN and Data Augmentation","display_name":"Classification of Epileptic IEEG Signals by CNN and Data Augmentation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015504841","doi":"https://doi.org/10.1109/icassp40776.2020.9052948","mag":"3015504841"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9052948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052948","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/A5028810412","display_name":"Xuyang Zhao","orcid":"https://orcid.org/0000-0002-3376-4889"},"institutions":[{"id":"https://openalex.org/I185365093","display_name":"Saitama Institute of Technology","ror":"https://ror.org/01pkeax38","country_code":"JP","type":"education","lineage":["https://openalex.org/I185365093"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xuyang Zhao","raw_affiliation_strings":["Department of Electronic Engineering, Saitama Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Saitama Institute of Technology, Japan","institution_ids":["https://openalex.org/I185365093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088107746","display_name":"Jordi Sol\u00e9\u2010Casals","orcid":"https://orcid.org/0000-0002-6534-1979"},"institutions":[{"id":"https://openalex.org/I115304662","display_name":"Universitat de Vic - Universitat Central de Catalunya","ror":"https://ror.org/006zjws59","country_code":"ES","type":"education","lineage":["https://openalex.org/I115304662"]},{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Jordi Sole-Casals","raw_affiliation_strings":["Data and Signal Processing Research Group, University of Vic-Central University of Catalonia, Catalonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data and Signal Processing Research Group, University of Vic-Central University of Catalonia, Catalonia","institution_ids":["https://openalex.org/I115304662","https://openalex.org/I4210121626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814222","display_name":"Binghua Li","orcid":"https://orcid.org/0000-0002-2595-4762"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binghua Li","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085722118","display_name":"Zihao Huang","orcid":"https://orcid.org/0000-0002-8111-9278"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Huang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008066034","display_name":"Andong Wang","orcid":"https://orcid.org/0000-0003-0412-2120"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Andong Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101714954","display_name":"Jianting Cao","orcid":"https://orcid.org/0000-0002-7749-7188"},"institutions":[{"id":"https://openalex.org/I185365093","display_name":"Saitama Institute of Technology","ror":"https://ror.org/01pkeax38","country_code":"JP","type":"education","lineage":["https://openalex.org/I185365093"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianting Cao","raw_affiliation_strings":["Department of Electronic Engineering, Saitama Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Saitama Institute of Technology, Japan","institution_ids":["https://openalex.org/I185365093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802085","display_name":"Toshihisa Tanaka","orcid":"https://orcid.org/0000-0002-5056-9508"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihisa Tanaka","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083182987","display_name":"Qibin Zhao","orcid":"https://orcid.org/0000-0002-4442-3182"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qibin Zhao","raw_affiliation_strings":["Tensor Learning Unit, RIKEN Center for Advanced Intelligence Project, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tensor Learning Unit, RIKEN Center for Advanced Intelligence Project, Japan","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2107,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96880065,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"926","last_page":"930"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9660000205039978,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/computer-science","display_name":"Computer science","score":0.8227944374084473},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7880508899688721},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7604514360427856},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7503787875175476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6242438554763794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6150962114334106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5789229869842529},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5412316918373108},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.3953413963317871},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3552878499031067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227944374084473},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7880508899688721},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7604514360427856},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7503787875175476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6242438554763794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6150962114334106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5789229869842529},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5412316918373108},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.3953413963317871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3552878499031067},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9052948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9052948","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1860388723","https://openalex.org/W1967513955","https://openalex.org/W1979522875","https://openalex.org/W1998828740","https://openalex.org/W2043596210","https://openalex.org/W2053348536","https://openalex.org/W2090763911","https://openalex.org/W2127297516","https://openalex.org/W2334762131","https://openalex.org/W2419542619","https://openalex.org/W2559463885","https://openalex.org/W2606301878","https://openalex.org/W2761936340","https://openalex.org/W2787148072","https://openalex.org/W2800329084","https://openalex.org/W2913201307","https://openalex.org/W3102455230","https://openalex.org/W6679086388"],"related_works":["https://openalex.org/W2395385109","https://openalex.org/W2773633178","https://openalex.org/W2080101436","https://openalex.org/W2802335767","https://openalex.org/W2356350882","https://openalex.org/W4388090985","https://openalex.org/W2363907062","https://openalex.org/W2393137063","https://openalex.org/W2331313489","https://openalex.org/W1981989525"],"abstract_inverted_index":{"Epileptic":[0],"focus":[1,67],"localization":[2],"in":[3,107],"patients":[4],"with":[5,102],"epileptic":[6,65],"seizures":[7],"is":[8,12,46],"essential":[9],"when":[10],"surgery":[11],"needed.":[13],"Recent":[14],"studies":[15],"show":[16],"that":[17],"this":[18,52],"can":[19],"be":[20],"done":[21],"automatically":[22],"using":[23,109,120],"machine":[24],"learning":[25],"approaches.":[26],"However,":[27],"well-designed":[28],"feature":[29,74,123],"extraction":[30,75,124],"methods":[31],"are":[32],"often":[33],"computationally":[34],"demanding,":[35],"requiring":[36],"a":[37,57,103],"large":[38],"amount":[39],"of":[40,82,98],"data":[41,90,111],"labeled":[42],"by":[43],"physicians,":[44],"which":[45,69],"time":[47],"consuming":[48],"and":[49],"impractical.":[50],"In":[51],"paper,":[53],"we":[54,85],"firstly":[55],"introduce":[56,86],"one-dimensional":[58],"convolutional":[59],"neural":[60],"network":[61],"(1D-CNN)":[62],"model":[63],"for":[64,89],"seizure":[66],"detection":[68],"avoids":[70],"the":[71,79,96,99,110,116,121],"manual,":[72],"time-consuming":[73],"Moreover,":[76],"to":[77,115],"reduce":[78],"necessary":[80],"number":[81],"training":[83],"samples,":[84],"an":[87],"approach":[88],"augmentation.":[91],"The":[92],"experimental":[93],"results":[94],"demonstrate":[95],"efficiency":[97],"proposed":[100],"method,":[101],"nearly":[104],"3%":[105],"improvement":[106],"performance":[108],"enhancement":[112],"method":[113],"compared":[114],"best":[117],"result":[118],"obtained":[119],"traditional":[122],"method.":[125]},"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":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}