{"id":"https://openalex.org/W3003113817","doi":"https://doi.org/10.1109/besc48373.2019.8963565","title":"Identification of epileptic discharge based on statistical analysis and fractal analysis","display_name":"Identification of epileptic discharge based on statistical analysis and fractal analysis","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3003113817","doi":"https://doi.org/10.1109/besc48373.2019.8963565","mag":"3003113817"},"language":"en","primary_location":{"id":"doi:10.1109/besc48373.2019.8963565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","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/A5100358442","display_name":"Qiong Li","orcid":"https://orcid.org/0000-0002-8627-4066"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Li","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770777","display_name":"Ziwen Zhang","orcid":"https://orcid.org/0009-0000-8350-4703"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwen Zhang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035464207","display_name":"Qi Huang","orcid":"https://orcid.org/0000-0003-2179-0892"},"institutions":[{"id":"https://openalex.org/I160354086","display_name":"Guangxi Medical University","ror":"https://ror.org/03dveyr97","country_code":"CN","type":"education","lineage":["https://openalex.org/I160354086"]},{"id":"https://openalex.org/I4210126060","display_name":"First Affiliated Hospital of GuangXi Medical University","ror":"https://ror.org/030sc3x20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210126060"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Huang","raw_affiliation_strings":["The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I160354086","https://openalex.org/I4210126060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108039076","display_name":"Yuan Wu","orcid":"https://orcid.org/0000-0001-5016-1660"},"institutions":[{"id":"https://openalex.org/I160354086","display_name":"Guangxi Medical University","ror":"https://ror.org/03dveyr97","country_code":"CN","type":"education","lineage":["https://openalex.org/I160354086"]},{"id":"https://openalex.org/I4210126060","display_name":"First Affiliated Hospital of GuangXi Medical University","ror":"https://ror.org/030sc3x20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210126060"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wu","raw_affiliation_strings":["The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I160354086","https://openalex.org/I4210126060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052735725","display_name":"Jianbo Gao","orcid":"https://orcid.org/0000-0002-8832-5664"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbo Gao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.998199999332428,"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":0.998199999332428,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.7964774370193481},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7938265800476074},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6975107192993164},{"id":"https://openalex.org/keywords/fractal-analysis","display_name":"Fractal analysis","score":0.5324006676673889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5259397625923157},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.519955039024353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4379359483718872},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42437681555747986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41474467515945435},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2992487847805023},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19819146394729614},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.1583194136619568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11331602931022644}],"concepts":[{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.7964774370193481},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7938265800476074},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6975107192993164},{"id":"https://openalex.org/C162494671","wikidata":"https://www.wikidata.org/wiki/Q2845227","display_name":"Fractal analysis","level":4,"score":0.5324006676673889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5259397625923157},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.519955039024353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4379359483718872},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42437681555747986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41474467515945435},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2992487847805023},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19819146394729614},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.1583194136619568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11331602931022644},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc48373.2019.8963565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W294587428","https://openalex.org/W564665047","https://openalex.org/W1609378846","https://openalex.org/W2044984635","https://openalex.org/W2078428371","https://openalex.org/W2093020097","https://openalex.org/W2101383962","https://openalex.org/W2111125935","https://openalex.org/W2483560525","https://openalex.org/W2553360915","https://openalex.org/W2604504584","https://openalex.org/W2744012576","https://openalex.org/W2782520840","https://openalex.org/W2805453491","https://openalex.org/W2889690008","https://openalex.org/W2896977870","https://openalex.org/W2916318597","https://openalex.org/W6615702707"],"related_works":["https://openalex.org/W2241220011","https://openalex.org/W2901062017","https://openalex.org/W2056477020","https://openalex.org/W4245300359","https://openalex.org/W4244902284","https://openalex.org/W2009797792","https://openalex.org/W2038689382","https://openalex.org/W2370847450","https://openalex.org/W1968412567","https://openalex.org/W2538663106"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,75],"a":[2,61],"relatively":[3],"common":[4],"brain":[5],"disorder":[6],"characterized":[7],"by":[8],"transient":[9],"but":[10],"recurrent":[11],"abnormal":[12,43],"discharge":[13],"of":[14,20,36,55,68,73,81,91],"neurons":[15],"due":[16],"to":[17,144],"the":[18,21],"dysfunction":[19],"central":[22],"nervous":[23],"system.":[24],"Brainwave":[25],"EEG":[26,40,103,129],"signals":[27,59],"are":[28,65,113,118],"customary":[29],"used":[30,140],"in":[31],"clinical":[32],"diagnosis":[33],"and":[34,57,134,146,158],"screening":[35,80],"epileptic":[37,48,70,82,94,115,150],"seizure":[38,58,83],"patients.":[39,84],"abnormalities":[41],"include":[42],"background":[44],"waves,":[45],"very":[46,155],"short":[47,69,93,114],"discharges":[49],"(lasting":[50,60],"only":[51],"about":[52],"several":[53],"tens":[54],"milliseconds),":[56],"few":[62],"seconds).":[63],"There":[64],"7":[66,149],"classes":[67],"discharges,":[71,116],"identification":[72],"which":[74],"often":[76],"considered":[77],"an":[78],"effective":[79],"In":[85],"this":[86,97,162],"study,":[87],"we":[88,99],"consider":[89],"classification":[90,159],"these":[92,110,128],"discharges.":[95,151],"For":[96],"purpose,":[98],"analyzed":[100],"422":[101],"multi-channel":[102],"segments,":[104,111],"each":[105],"4":[106],"s":[107],"long.":[108],"Among":[109],"322":[112],"100":[117],"from":[119,127],"healthy":[120],"controls.":[121],"We":[122,152],"have":[123,153],"first":[124],"extracted":[125],"features":[126],"segments":[130],"using":[131],"statistical":[132],"analysis":[133],"Adaptive":[135],"Fractal":[136],"Analysis":[137],"(AFA),":[138],"then":[139],"Random":[141],"Forest":[142],"Classifier":[143],"identify":[145],"classify":[147],"all":[148],"achieved":[154],"high":[156],"recognition":[157],"accuracy":[160],"with":[161],"synthesized":[163],"approach.":[164]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
