{"id":"https://openalex.org/W4289656511","doi":"https://doi.org/10.1109/access.2022.3196004","title":"Seizure Detection Based on Improved Genetic Algorithm Optimized Multilayer Network","display_name":"Seizure Detection Based on Improved Genetic Algorithm Optimized Multilayer Network","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4289656511","doi":"https://doi.org/10.1109/access.2022.3196004"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3196004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3196004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09848795.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09848795.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088077363","display_name":"Yuhuan Xiong","orcid":"https://orcid.org/0000-0001-5219-0879"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhuan Xiong","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5219-0879","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605502","display_name":"Fang Dong","orcid":"https://orcid.org/0000-0003-4271-9702"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Dong","raw_affiliation_strings":["College of Information and Electric Engineering, Zhejiang University City College, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Electric Engineering, Zhejiang University City College, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090693707","display_name":"Duanpo Wu","orcid":"https://orcid.org/0000-0001-6954-6587"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanpo Wu","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","Machine Learning and I-health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6954-6587","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Machine Learning and I-health International Cooperation Base of Zhejiang Province, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038997282","display_name":"Lurong Jiang","orcid":"https://orcid.org/0000-0003-4870-9361"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lurong Jiang","raw_affiliation_strings":["School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4870-9361","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103208925","display_name":"Junbiao Liu","orcid":"https://orcid.org/0000-0001-7326-4574"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbiao Liu","raw_affiliation_strings":["Artistic Design and Creation School, Zhejiang University City College, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7326-4574","affiliations":[{"raw_affiliation_string":"Artistic Design and Creation School, Zhejiang University City College, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101757981","display_name":"Bingqian Li","orcid":"https://orcid.org/0000-0001-7103-9103"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingqian Li","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088077363"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0784,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92146473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"10","issue":null,"first_page":"81343","last_page":"81354"},"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":0.9876999855041504,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9818999767303467,"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/computer-science","display_name":"Computer science","score":0.7179735898971558},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5413275957107544},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5182942748069763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49854040145874023},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4752904176712036},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46395343542099},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45159029960632324},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4403606653213501},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.41259926557540894},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4097544252872467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36117440462112427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29916059970855713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15958094596862793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179735898971558},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5413275957107544},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5182942748069763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49854040145874023},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4752904176712036},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46395343542099},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45159029960632324},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4403606653213501},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.41259926557540894},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4097544252872467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36117440462112427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29916059970855713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15958094596862793},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3196004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3196004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09848795.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5b5041e2111847a0bfd3c19b6f141fe1","is_oa":true,"landing_page_url":"https://doaj.org/article/5b5041e2111847a0bfd3c19b6f141fe1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 81343-81354 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3196004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3196004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09848795.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G104723880","display_name":null,"funder_award_id":"LBY21H090001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1322554327","display_name":null,"funder_award_id":"LBY21H090001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G1327000608","display_name":null,"funder_award_id":"2021YFE0100100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2901198111","display_name":null,"funder_award_id":"202110336059","funder_id":"https://openalex.org/F4320336008","funder_display_name":"National College Students Innovation and Entrepreneurship Training Program"},{"id":"https://openalex.org/G3349266021","display_name":null,"funder_award_id":"2021MC0AB04","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7151297541","display_name":null,"funder_award_id":"U1909209","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336008","display_name":"National College Students Innovation and Entrepreneurship Training Program","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289656511.pdf","grobid_xml":"https://content.openalex.org/works/W4289656511.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W157468466","https://openalex.org/W1556131344","https://openalex.org/W1675841081","https://openalex.org/W2003945139","https://openalex.org/W2011484846","https://openalex.org/W2132984323","https://openalex.org/W2149055390","https://openalex.org/W2256158415","https://openalex.org/W2423195739","https://openalex.org/W2518505580","https://openalex.org/W2534167697","https://openalex.org/W2586455683","https://openalex.org/W2607594748","https://openalex.org/W2744480067","https://openalex.org/W2790229131","https://openalex.org/W2793350103","https://openalex.org/W2884461157","https://openalex.org/W2885805158","https://openalex.org/W2888206852","https://openalex.org/W2900868701","https://openalex.org/W2903580733","https://openalex.org/W2911911042","https://openalex.org/W2911964244","https://openalex.org/W2922107760","https://openalex.org/W2954193945","https://openalex.org/W2958497040","https://openalex.org/W2969218896","https://openalex.org/W2989483620","https://openalex.org/W2996420055","https://openalex.org/W3001516132","https://openalex.org/W3028393291","https://openalex.org/W3029978071","https://openalex.org/W3042240997","https://openalex.org/W3043456897","https://openalex.org/W3075234101","https://openalex.org/W3081004142","https://openalex.org/W3092870704","https://openalex.org/W3119711758","https://openalex.org/W3123099417","https://openalex.org/W3184739035","https://openalex.org/W3190085678","https://openalex.org/W3190395700","https://openalex.org/W6606439196","https://openalex.org/W6633205339"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3135126032","https://openalex.org/W4386937079","https://openalex.org/W2889302474"],"abstract_inverted_index":{"With":[0],"the":[1,23,42,56,61,83,97,104,121,128,151,185,190,196,206],"increasment":[2],"of":[3,26,80,87,99,107,150,189,199,208],"epilepsy":[4],"patients,":[5],"traditional":[6],"epileptic":[7,135],"seizure":[8,27,209],"recognition":[9],"is":[10,18,28,77,193],"generally":[11],"completed":[12],"by":[13,49,65,102],"encephalography":[14],"(EEG)":[15],"technicians,":[16],"which":[17,35],"time-consuming":[19],"and":[20,40,71,85,110,123,125,146,161,172,178,202],"labor-intensive,":[21],"so":[22],"automatic":[24],"detection":[25,187],"imminent.":[29],"This":[30],"paper":[31,95,156],"proposes":[32],"a":[33,37,78],"method":[34,152],"constructs":[36],"multi-layer":[38,57,191],"network":[39,47,58,63,122,192],"extracts":[41],"same":[43],"features":[44],"in":[45,90,154],"each":[46],"optimized":[48],"improved":[50],"genetic":[51],"algorithm":[52],"(IGA).":[53],"Among":[54],"them,":[55],"refers":[59],"to":[60,119,132],"three-layer":[62],"constructed":[64],"pearson":[66],"correlation":[67],"coefficient,":[68],"mutual":[69],"information":[70],"permutation":[72],"disalignment":[73],"index":[74],"respectively.":[75,163,180],"There":[76],"lack":[79],"research":[81],"on":[82],"fusion":[84,105],"comparison":[86],"different":[88,100,108],"networks":[89,101],"previous":[91],"studies.":[92],"Therefore,":[93],"this":[94,155],"analyzes":[96],"effectiveness":[98],"studying":[103],"relationship":[106],"networks,":[109,201],"further":[111],"uses":[112,127],"IGA":[113,203],"for":[114],"iterative":[115],"optimization":[116],"with":[117],"constraints":[118],"weight":[120],"features,":[124],"finally":[126],"random":[129],"forest":[130],"classifier":[131],"automatically":[133],"detect":[134],"seizures.":[136],"On":[137,164],"CHB-MIT":[138],"database,":[139,168],"accuracy":[140],"(ACC),":[141],"specificity":[142],"(SPE),":[143],"sensitivity":[144],"(SEN)":[145],"F1":[147,173],"score":[148],"(F1)":[149],"proposed":[153],"reach":[157,174],"97.26%,":[158],"97.55%,":[159],"96.89%":[160],"97.11%,":[162],"Siena":[165],"scalp":[166],"EEG":[167],"ACC,":[169],"SPE,":[170],"SEN":[171],"98.88%,":[175],"99.13%,":[176],"98.36%":[177],"98.75%,":[179],"The":[181],"results":[182],"show":[183],"that":[184],"joint":[186],"effect":[188,198,207],"better":[194],"than":[195],"combined":[197],"other":[200],"can":[204],"improve":[205],"detection.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}