{"id":"https://openalex.org/W4310332690","doi":"https://doi.org/10.1109/jbhi.2022.3223970","title":"LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection","display_name":"LightSeizureNet: A Lightweight Deep Learning Model for Real-Time Epileptic Seizure Detection","publication_year":2022,"publication_date":"2022-11-24","ids":{"openalex":"https://openalex.org/W4310332690","doi":"https://doi.org/10.1109/jbhi.2022.3223970","pmid":"https://pubmed.ncbi.nlm.nih.gov/36417737"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2022.3223970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3223970","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5022639653","display_name":"Siyuan Qiu","orcid":"https://orcid.org/0000-0003-3631-1313"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Qiu","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3631-1313","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636785","display_name":"Wenjin Wang","orcid":"https://orcid.org/0000-0001-7832-5444"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjin Wang","raw_affiliation_strings":["Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042636120","display_name":"Hailong Jiao","orcid":"https://orcid.org/0000-0002-2815-6168"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Jiao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2815-6168","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9505,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.96633649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"27","issue":"4","first_page":"1845","last_page":"1856"},"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":0.996999979019165,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.8150051832199097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311219930648804},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6257273554801941},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5694390535354614},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5093494653701782},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4968765079975128},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4960838258266449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49393802881240845},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4850136935710907},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47771334648132324},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.4664193093776703},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.456387996673584},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.44271743297576904},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.37564361095428467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35465285181999207},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3349744975566864},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12730032205581665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150051832199097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311219930648804},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6257273554801941},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5694390535354614},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5093494653701782},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4968765079975128},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4960838258266449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49393802881240845},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4850136935710907},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47771334648132324},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.4664193093776703},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.456387996673584},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.44271743297576904},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.37564361095428467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35465285181999207},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3349744975566864},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12730032205581665},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D058256","descriptor_name":"Brain Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058256","descriptor_name":"Brain Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058256","descriptor_name":"Brain Waves","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2022.3223970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2022.3223970","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:36417737","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36417737","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G6271289050","display_name":null,"funder_award_id":"62271241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6781766220","display_name":null,"funder_award_id":"62074005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1556131344","https://openalex.org/W2001922685","https://openalex.org/W2005791255","https://openalex.org/W2012383929","https://openalex.org/W2021970732","https://openalex.org/W2050637571","https://openalex.org/W2063650318","https://openalex.org/W2088432928","https://openalex.org/W2102244548","https://openalex.org/W2108087301","https://openalex.org/W2119234283","https://openalex.org/W2136030102","https://openalex.org/W2142181855","https://openalex.org/W2158468574","https://openalex.org/W2276892413","https://openalex.org/W2295107390","https://openalex.org/W2329051445","https://openalex.org/W2418090813","https://openalex.org/W2568407436","https://openalex.org/W2592285721","https://openalex.org/W2593873339","https://openalex.org/W2776446922","https://openalex.org/W2789800602","https://openalex.org/W2790567680","https://openalex.org/W2790950056","https://openalex.org/W2795691199","https://openalex.org/W2807999635","https://openalex.org/W2890956351","https://openalex.org/W2899200491","https://openalex.org/W2903709507","https://openalex.org/W2907284364","https://openalex.org/W2917354916","https://openalex.org/W2932763761","https://openalex.org/W2935529130","https://openalex.org/W2965277555","https://openalex.org/W2973010960","https://openalex.org/W2980823296","https://openalex.org/W2997300524","https://openalex.org/W3005778357","https://openalex.org/W3007289630","https://openalex.org/W3020080361","https://openalex.org/W3023066741","https://openalex.org/W3036629615","https://openalex.org/W3080378203","https://openalex.org/W3099182125","https://openalex.org/W3119307757","https://openalex.org/W3119640139","https://openalex.org/W3129434311","https://openalex.org/W3135997330","https://openalex.org/W3153903265","https://openalex.org/W3156889579","https://openalex.org/W3177432079","https://openalex.org/W4210753840","https://openalex.org/W4214850322","https://openalex.org/W4248307879","https://openalex.org/W6633205339","https://openalex.org/W6638444622","https://openalex.org/W6677580257","https://openalex.org/W6696085341","https://openalex.org/W6739901393","https://openalex.org/W6760785769"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"The":[0,24,88,133,144],"monitoring":[1],"of":[2,47,101,173,178,205,220],"epilepsy":[3],"patients":[4],"in":[5,20,81,176,192],"non-hospital":[6],"environment":[7],"is":[8,186,190,224],"highly":[9,187],"desirable,":[10],"where":[11],"ultra-low":[12,82],"power":[13,83],"wearable":[14,84],"seizure":[15,27,74,85],"detection":[16,28,75,86],"devices":[17,32],"are":[18,126,136,167],"essential":[19],"such":[21,31,211],"a":[22,64,93,97,198],"system.":[23],"state-of-the-art":[25],"epileptic":[26,73],"algorithms":[29],"targeting":[30],"either":[33],"rely":[34],"on":[35,77,138],"manual":[36,104],"feature":[37,105],"extractions,":[38],"which":[39,53,102,166,189],"can":[40],"be":[41],"biased":[42],"due":[43],"to":[44,128,170,201],"the":[45,130,139,155,171,174,183,203,206,213,218],"experience":[46],"experts,":[48],"or":[49],"deep":[50,66],"neural":[51],"networks,":[52],"suffer":[54],"from":[55],"high":[56,108],"computation":[57,109],"complexity.":[58,181],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"lightweight":[65],"learning":[67],"model,":[68,208],"LightSeizureNet":[69],"(LSN),":[70],"for":[71,226],"real-time":[72],"based":[76],"raw":[78],"EEG":[79,142],"data":[80],"devices.":[87],"proposed":[89,134,184,207],"LSN":[90,131,146,157],"model":[91,147,158,185],"includes":[92],"patient-independent":[94,145],"version":[95],"and":[96,107,123,180,217],"patient-specific":[98,156],"version,":[99],"both":[100],"avoids":[103],"extractions":[106],"complexity,":[110],"while":[111,154],"maintaining":[112],"good":[113],"classification":[114],"accuracy.":[115],"Dilated":[116],"one-dimensional":[117],"(1D)":[118],"convolution,":[119],"global":[120],"average":[121],"pooling,":[122],"kernel-wise":[124],"pruning":[125],"adopted":[127],"compress":[129],"model.":[132],"models":[135],"evaluated":[137],"CHB-MIT":[140],"scalp":[141],"database.":[143],"achieves":[148,159],"97.09%":[149],"accuracy":[150,161,179],"with":[151,162],"6.2M":[152],"MACs,":[153,165],"99.77%":[160],"3.7":[163],"M":[164],"competitive":[168],"compared":[169],"state":[172],"art":[175],"terms":[177],"Furthermore,":[182],"interpretable,":[188],"missing":[191],"many":[193],"previous":[194],"works.":[195],"By":[196],"using":[197],"uniform":[199],"approach":[200],"explore":[202],"interpretability":[204],"fine-grained":[209],"information":[210],"as":[212],"activated":[214],"brain":[215],"region":[216],"frequency":[219],"brainwave":[221],"during":[222],"seizures":[223],"obtained":[225],"clinical":[227],"diagnosis.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":8}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}