{"id":"https://openalex.org/W4388819737","doi":"https://doi.org/10.1109/tsp.2023.3333546","title":"Ensembled Seizure Detection Based on Small Training Samples","display_name":"Ensembled Seizure Detection Based on Small Training Samples","publication_year":2023,"publication_date":"2023-11-20","ids":{"openalex":"https://openalex.org/W4388819737","doi":"https://doi.org/10.1109/tsp.2023.3333546"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2023.3333546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3333546","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","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/A5083158164","display_name":"Pei Feng Tong","orcid":"https://orcid.org/0000-0002-5486-4977"},"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":"Pei Feng Tong","raw_affiliation_strings":["Guanghua School of Management, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5486-4977","affiliations":[{"raw_affiliation_string":"Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101547247","display_name":"Hao Zhan","orcid":null},"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":"Hao Xiang Zhan","raw_affiliation_strings":["School of Mathematical Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-5191-9753","affiliations":[{"raw_affiliation_string":"School of Mathematical Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006321255","display_name":"Song Xi Chen","orcid":"https://orcid.org/0000-0002-2338-0873"},"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":"Song Xi Chen","raw_affiliation_strings":["School of Mathematical Science and Guanghua School of Management, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2338-0873","affiliations":[{"raw_affiliation_string":"School of Mathematical Science and Guanghua School of Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.134,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77533215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"14"},"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":0.9995999932289124,"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/T10581","display_name":"Neural dynamics and brain function","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7381844520568848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7186281681060791},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6803576350212097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6198457479476929},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6000359058380127},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5672016143798828},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5252708196640015},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5143684148788452},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.513820230960846},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4696592092514038},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46595579385757446},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4075433909893036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39919161796569824},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10495856404304504}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7381844520568848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186281681060791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6803576350212097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6198457479476929},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6000359058380127},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5672016143798828},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5252708196640015},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5143684148788452},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.513820230960846},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4696592092514038},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46595579385757446},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4075433909893036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39919161796569824},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10495856404304504},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2023.3333546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2023.3333546","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7551389408","display_name":"\u9762\u5411\u513f\u7ae5\u8111\u53d1\u80b2\u969c\u788d\u6027\u75be\u75c5\u7684\u795e\u7ecf\u673a\u5236\u5efa\u6a21\u4e0e\u8f85\u52a9\u8bca\u7597\u7b97\u6cd5","funder_award_id":"12026607","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1556131344","https://openalex.org/W1965166602","https://openalex.org/W1969946769","https://openalex.org/W1998651166","https://openalex.org/W2005791255","https://openalex.org/W2020061675","https://openalex.org/W2024482587","https://openalex.org/W2029746815","https://openalex.org/W2049761669","https://openalex.org/W2098277968","https://openalex.org/W2099741732","https://openalex.org/W2133750763","https://openalex.org/W2133867684","https://openalex.org/W2141224535","https://openalex.org/W2149407814","https://openalex.org/W2155499655","https://openalex.org/W2157395790","https://openalex.org/W2162800060","https://openalex.org/W2349841094","https://openalex.org/W2560897477","https://openalex.org/W2568407436","https://openalex.org/W2591292252","https://openalex.org/W2592790850","https://openalex.org/W2608948620","https://openalex.org/W2767334709","https://openalex.org/W2806458000","https://openalex.org/W2891725784","https://openalex.org/W2898277224","https://openalex.org/W2898734263","https://openalex.org/W2898824151","https://openalex.org/W2899459625","https://openalex.org/W2911964244","https://openalex.org/W2918225995","https://openalex.org/W2923596073","https://openalex.org/W2934856817","https://openalex.org/W2955989361","https://openalex.org/W2963290013","https://openalex.org/W2994921215","https://openalex.org/W3034942609","https://openalex.org/W3102027041","https://openalex.org/W3126745694","https://openalex.org/W3156889579","https://openalex.org/W4205767588","https://openalex.org/W4206574110","https://openalex.org/W4207042075","https://openalex.org/W4207043525","https://openalex.org/W4213011206","https://openalex.org/W4220752988","https://openalex.org/W4223440110","https://openalex.org/W4226050223","https://openalex.org/W4226053040","https://openalex.org/W4248307879","https://openalex.org/W4249116379","https://openalex.org/W4292826126","https://openalex.org/W4294012107","https://openalex.org/W4298001876","https://openalex.org/W4310076689","https://openalex.org/W4362553569","https://openalex.org/W4385707408","https://openalex.org/W6633205339","https://openalex.org/W6681389334"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2889302474","https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W4286910063","https://openalex.org/W2163707935","https://openalex.org/W83146503","https://openalex.org/W2169074127","https://openalex.org/W202723009","https://openalex.org/W2188612292"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"interpretable":[4],"ensembled":[5,87],"seizure":[6,46,50,88,102],"detection":[7,60],"procedure":[8,28,96],"using":[9,105],"electroencephalography":[10],"(EEG)":[11],"data,":[12],"which":[13],"integrates":[14],"data":[15],"driven":[16],"features":[17,77],"and":[18,52,69,121],"clinical":[19],"knowledge":[20,41],"while":[21],"being":[22],"robust":[23,122],"against":[24],"artifacts":[25],"interference.":[26],"The":[27,75],"is":[29,62],"built":[30],"on":[31,115],"the":[32,94,98,125],"spatially":[33],"constrained":[34],"independent":[35],"component":[36],"analysis":[37],"supplemented":[38],"by":[39],"a":[40,56,82,107],"enhanced":[42],"sparse":[43],"representation":[44],"of":[45,110,124],"waveforms":[47],"to":[48,64,70,100],"extract":[49],"intensity":[51],"waveform":[53],"features.":[54],"Additionally,":[55],"multiple":[57],"change":[58],"point":[59],"algorithm":[61],"implemented":[63],"overcome":[65],"EEG":[66],"signal's":[67],"non-stationarity":[68],"facilitate":[71],"temporal":[72],"feature":[73],"aggregation.":[74],"selected":[76],"are":[78],"then":[79],"fed":[80],"into":[81],"random":[83],"forest":[84],"classifier":[85],"for":[86],"detection.":[89],"Compared":[90],"with":[91],"existing":[92],"methods,":[93],"proposed":[95,126],"has":[97],"ability":[99],"identify":[101],"onset":[103],"periods":[104],"only":[106],"small":[108],"proportion":[109],"training":[111],"samples.":[112],"Empirical":[113],"evaluations":[114],"publicly":[116],"available":[117],"datasets":[118],"demonstrated":[119],"satisfactory":[120],"performance":[123],"procedure.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}