{"id":"https://openalex.org/W3099139893","doi":"https://doi.org/10.1109/iecon43393.2020.9254475","title":"Robust Seizure Prediction Based on Multivariate Empirical Mode Decomposition and Maximum Synchronization Modularity","display_name":"Robust Seizure Prediction Based on Multivariate Empirical Mode Decomposition and Maximum Synchronization Modularity","publication_year":2020,"publication_date":"2020-10-18","ids":{"openalex":"https://openalex.org/W3099139893","doi":"https://doi.org/10.1109/iecon43393.2020.9254475","mag":"3099139893"},"language":"en","primary_location":{"id":"doi:10.1109/iecon43393.2020.9254475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon43393.2020.9254475","pdf_url":null,"source":{"id":"https://openalex.org/S4363608618","display_name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","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/A5067510843","display_name":"Lihan Tang","orcid":"https://orcid.org/0000-0002-2328-5163"},"institutions":[{"id":"https://openalex.org/I4210092088","display_name":"Zhejiang Province Institute of Architectural Design and Research","ror":"https://ror.org/00f89ms08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092088"]},{"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":"Lihan Tang","raw_affiliation_strings":["Institute of VLSI Design, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of VLSI Design, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210092088","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066353712","display_name":"Menglian Zhao","orcid":"https://orcid.org/0000-0002-2500-2892"},"institutions":[{"id":"https://openalex.org/I4210092088","display_name":"Zhejiang Province Institute of Architectural Design and Research","ror":"https://ror.org/00f89ms08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092088"]},{"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":"Menglian Zhao","raw_affiliation_strings":["Institute of VLSI Design, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of VLSI Design, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210092088","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019606817","display_name":"Xiaolin Yang","orcid":"https://orcid.org/0000-0002-3420-3215"},"institutions":[{"id":"https://openalex.org/I4210114974","display_name":"IMEC","ror":"https://ror.org/02kcbn207","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210114974"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Xiaolin Yang","raw_affiliation_strings":["Interuniversity Microelectronics Centre, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interuniversity Microelectronics Centre, Leuven, Belgium","institution_ids":["https://openalex.org/I4210114974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046462736","display_name":"Yangtao Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yangtao Dong","raw_affiliation_strings":["Centre for Integrated Circuits and Systems, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Integrated Circuits and Systems, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100677577","display_name":"Xiaobo Wu","orcid":"https://orcid.org/0000-0002-1068-5934"},"institutions":[{"id":"https://openalex.org/I4210092088","display_name":"Zhejiang Province Institute of Architectural Design and Research","ror":"https://ror.org/00f89ms08","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092088"]},{"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":"Xiaobo Wu","raw_affiliation_strings":["Institute of VLSI Design, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of VLSI Design, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210092088","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"454","issue":null,"first_page":"507","last_page":"512"},"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":0.995199978351593,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479602098464966},{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.7447136044502258},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6643972396850586},{"id":"https://openalex.org/keywords/phase-synchronization","display_name":"Phase synchronization","score":0.619571328163147},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6037248969078064},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.5941189527511597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393455028533936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48139333724975586},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4465053081512451},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42559635639190674},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4204806089401245},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36662915349006653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3093426823616028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07568490505218506},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.07376489043235779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479602098464966},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.7447136044502258},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6643972396850586},{"id":"https://openalex.org/C194027367","wikidata":"https://www.wikidata.org/wiki/Q4420475","display_name":"Phase synchronization","level":3,"score":0.619571328163147},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6037248969078064},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.5941189527511597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393455028533936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48139333724975586},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4465053081512451},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42559635639190674},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4204806089401245},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36662915349006653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3093426823616028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07568490505218506},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.07376489043235779},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon43393.2020.9254475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon43393.2020.9254475","pdf_url":null,"source":{"id":"https://openalex.org/S4363608618","display_name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W397076878","https://openalex.org/W1608735834","https://openalex.org/W1970121110","https://openalex.org/W1974123318","https://openalex.org/W2007221293","https://openalex.org/W2095293504","https://openalex.org/W2096592665","https://openalex.org/W2110661716","https://openalex.org/W2115810652","https://openalex.org/W2119705365","https://openalex.org/W2120390927","https://openalex.org/W2123563890","https://openalex.org/W2129094939","https://openalex.org/W2152282628","https://openalex.org/W2157586156","https://openalex.org/W2162800060","https://openalex.org/W2246329527","https://openalex.org/W2291197622","https://openalex.org/W2344391295","https://openalex.org/W2534582782","https://openalex.org/W2766013185","https://openalex.org/W2766958857","https://openalex.org/W2780723646","https://openalex.org/W2799268576","https://openalex.org/W2976267777","https://openalex.org/W3141408015","https://openalex.org/W4255143522","https://openalex.org/W6603834347","https://openalex.org/W6636501131"],"related_works":["https://openalex.org/W1963851439","https://openalex.org/W1827287738","https://openalex.org/W2095704199","https://openalex.org/W4210284618","https://openalex.org/W3033537072","https://openalex.org/W2114958893","https://openalex.org/W1995406459","https://openalex.org/W2068628444","https://openalex.org/W2022401564","https://openalex.org/W2082395593"],"abstract_inverted_index":{"Reliable":[0],"and":[1,9,16,40,119],"timely":[2],"seizure":[3,27],"prediction":[4,28,115],"has":[5],"been":[6],"increasingly":[7],"helpful":[8],"indispensable":[10],"for":[11,106],"epileptic":[12],"patients,":[13],"ensuring":[14],"safety":[15],"improving":[17],"life":[18],"quality.":[19],"Based":[20],"on":[21,125,134],"electroencephalogram":[22],"(EEG),":[23],"a":[24,43],"new":[25],"patient-specific":[26],"method":[29,111],"is":[30,73,104],"proposed":[31,110],"in":[32],"this":[33,55],"paper":[34],"to":[35,75],"detect":[36],"impending":[37],"seizures":[38],"automatically":[39],"accurately,":[41],"using":[42],"novel":[44],"indicator":[45],"called":[46],"maximum":[47],"synchronization":[48,79],"modularity.":[49],"As":[50],"the":[51,77,86,107,135],"first":[52],"step":[53],"towards":[54],"goal,":[56],"raw":[57],"EEG":[58,83,128],"signals":[59],"are":[60],"decomposed":[61],"by":[62],"multivariate":[63],"empirical":[64],"mode":[65],"decomposition":[66],"(MEMD).":[67],"Then":[68],"graph":[69],"community":[70],"detection":[71],"algorithm":[72],"applied":[74],"characterize":[76],"phase":[78],"modularity":[80],"of":[81,89,117,123],"sub-band":[82],"signals.":[84],"Thus,":[85],"deep":[87],"interaction":[88],"scalp":[90,127],"electrical":[91],"activity":[92],"can":[93],"be":[94],"effectively":[95],"revealed.":[96],"Finally,":[97],"radial":[98],"basis":[99],"function":[100],"neural":[101],"network":[102],"(RBFNN)":[103],"used":[105],"classification.":[108],"The":[109],"achieves":[112],"an":[113,120],"average":[114,121],"accuracy":[116],"99.06%":[118],"sensitivity":[122],"100%":[124],"CHB-MIT":[126],"database,":[129],"outperforming":[130],"related":[131],"works":[132],"based":[133],"same":[136],"database.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
