{"id":"https://openalex.org/W4413915755","doi":"https://doi.org/10.3390/e27090919","title":"A Novel Co-Designed Multi-Domain Entropy and Its Dynamic Synapse Classification Approach for EEG Seizure Detection","display_name":"A Novel Co-Designed Multi-Domain Entropy and Its Dynamic Synapse Classification Approach for EEG Seizure Detection","publication_year":2025,"publication_date":"2025-08-30","ids":{"openalex":"https://openalex.org/W4413915755","doi":"https://doi.org/10.3390/e27090919","pmid":"https://pubmed.ncbi.nlm.nih.gov/41008044"},"language":"en","primary_location":{"id":"doi:10.3390/e27090919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27090919","pdf_url":"https://www.mdpi.com/1099-4300/27/9/919/pdf?version=1756546320","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/27/9/919/pdf?version=1756546320","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112113740","display_name":"Guanyuan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyuan Feng","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China"],"raw_orcid":"https://orcid.org/0009-0009-9382-4220","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331443","display_name":"Jiawen Li","orcid":"https://orcid.org/0000-0002-8586-9535"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]},{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawen Li","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China","ZUMRI-LYG Joint Laboratory, Zhuhai UM Science and Technology Research Institute, Zhuhai 519031, China"],"raw_orcid":"https://orcid.org/0000-0002-8586-9535","affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China","institution_ids":["https://openalex.org/I881766915"]},{"raw_affiliation_string":"ZUMRI-LYG Joint Laboratory, Zhuhai UM Science and Technology Research Institute, Zhuhai 519031, China","institution_ids":["https://openalex.org/I4210165204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041879065","display_name":"Yicheng Zhong","orcid":"https://orcid.org/0000-0001-7661-5384"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Zhong","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079284289","display_name":"Shuang Zhang","orcid":"https://orcid.org/0000-0002-7134-0454"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, China","School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China"],"raw_orcid":"https://orcid.org/0000-0002-7134-0454","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Neijiang Normal University, Neijiang 641004, China","institution_ids":["https://openalex.org/I4210117337"]},{"raw_affiliation_string":"School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352211","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-2859-0837"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Liu","raw_affiliation_strings":["School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China"],"raw_orcid":"https://orcid.org/0000-0002-2859-0837","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037922594","display_name":"Mang I Vai","orcid":"https://orcid.org/0000-0003-0663-0049"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I4210165204","display_name":"Zhuhai Institute of Advanced Technology","ror":"https://ror.org/05r1mzq61","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761","https://openalex.org/I4210165204"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Mang I Vai","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Macau, Macau 999078, China","ZUMRI-LYG Joint Laboratory, Zhuhai UM Science and Technology Research Institute, Zhuhai 519031, China"],"raw_orcid":"https://orcid.org/0000-0003-0663-0049","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Macau, Macau 999078, China","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"ZUMRI-LYG Joint Laboratory, Zhuhai UM Science and Technology Research Institute, Zhuhai 519031, China","institution_ids":["https://openalex.org/I4210165204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071095256","display_name":"Kaihan Lin","orcid":"https://orcid.org/0000-0001-6153-3722"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaihan Lin","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049346193","display_name":"Xianxian Zeng","orcid":"https://orcid.org/0000-0002-3889-4447"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxian Zeng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou 510665, China","School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China"],"raw_orcid":"https://orcid.org/0000-0002-3889-4447","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041126796","display_name":"Jun Yuan","orcid":"https://orcid.org/0000-0002-5918-7960"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yuan","raw_affiliation_strings":["School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035131824","display_name":"Rongjun Chen","orcid":"https://orcid.org/0000-0002-3075-460X"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongjun Chen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou 510665, China","School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China"],"raw_orcid":"https://orcid.org/0000-0002-3075-460X","affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Intellectual Property and Big Data, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]},{"raw_affiliation_string":"School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5035131824","https://openalex.org/A5100331443"],"corresponding_institution_ids":["https://openalex.org/I4210122543","https://openalex.org/I4210165204","https://openalex.org/I881766915"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.5411,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83504882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"27","issue":"9","first_page":"919","last_page":"919"},"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":0.9962999820709229,"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":0.994700014591217,"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/electroencephalography","display_name":"Electroencephalography","score":0.6747463941574097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5476429462432861},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5454556941986084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49282243847846985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47425830364227295},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32298752665519714},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3021963834762573},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16792160272598267},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16580665111541748}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6747463941574097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476429462432861},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5454556941986084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49282243847846985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47425830364227295},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32298752665519714},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3021963834762573},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16792160272598267},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16580665111541748},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e27090919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27090919","pdf_url":"https://www.mdpi.com/1099-4300/27/9/919/pdf?version=1756546320","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:41008044","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41008044","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:3646fc1b4bdc46638837172981520e1d","is_oa":true,"landing_page_url":"https://doaj.org/article/3646fc1b4bdc46638837172981520e1d","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":"Entropy, Vol 27, Iss 9, p 919 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11277950","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12468615","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12468615","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12468615/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e27090919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27090919","pdf_url":"https://www.mdpi.com/1099-4300/27/9/919/pdf?version=1756546320","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2775129607","display_name":null,"funder_award_id":"CSXL-23305","funder_id":"https://openalex.org/F4320317436","funder_display_name":"Chengdu Medical College"}],"funders":[{"id":"https://openalex.org/F4320317436","display_name":"Chengdu Medical College","ror":"https://ror.org/01c4jmp52"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413915755.pdf","grobid_xml":"https://content.openalex.org/works/W4413915755.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2053744708","https://openalex.org/W2162800060","https://openalex.org/W2988548970","https://openalex.org/W3119711758","https://openalex.org/W3119733931","https://openalex.org/W3126795333","https://openalex.org/W4293770492","https://openalex.org/W4297193044","https://openalex.org/W4316037831","https://openalex.org/W4323923053","https://openalex.org/W4362553569","https://openalex.org/W4362700702","https://openalex.org/W4365800969","https://openalex.org/W4366548657","https://openalex.org/W4377240400","https://openalex.org/W4388979256","https://openalex.org/W4390694499","https://openalex.org/W4391108991","https://openalex.org/W4391248794","https://openalex.org/W4392939558","https://openalex.org/W4394755634","https://openalex.org/W4396769415","https://openalex.org/W4398170291","https://openalex.org/W4399104759","https://openalex.org/W4399146475","https://openalex.org/W4399262607","https://openalex.org/W4399822307","https://openalex.org/W4400921453","https://openalex.org/W4401907661","https://openalex.org/W4402597889","https://openalex.org/W4402631137","https://openalex.org/W4402699404","https://openalex.org/W4402920681","https://openalex.org/W4403144682","https://openalex.org/W4405198577","https://openalex.org/W4405349388","https://openalex.org/W4406085767","https://openalex.org/W4406664793","https://openalex.org/W4406906970","https://openalex.org/W4407239504","https://openalex.org/W4408099027","https://openalex.org/W4408379434","https://openalex.org/W4410396055","https://openalex.org/W4410500275","https://openalex.org/W4411045328","https://openalex.org/W4411236496","https://openalex.org/W4412616308"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W4323929055"],"abstract_inverted_index":{"Automated":[0],"electroencephalography":[1],"(EEG)":[2],"seizure":[3,53,286],"detection":[4],"is":[5,61,90,131],"meaningful":[6],"in":[7,29,220,228],"clinical":[8],"medicine.":[9],"However,":[10],"current":[11],"approaches":[12],"often":[13],"lack":[14],"comprehensive":[15],"feature":[16,39,65,264],"extraction":[17],"and":[18,41,107,116,147,211,213,218,223,246,266],"are":[19,160,192],"limited":[20],"by":[21],"generic":[22],"classifier":[23,42,124,129],"architectures,":[24],"which":[25,73,170,279],"limit":[26],"their":[27],"effectiveness":[28,185],"complex":[30,275],"real-world":[31],"scenarios.":[32],"To":[33,181],"overcome":[34],"this":[35,44],"traditional":[36],"coupling":[37],"between":[38],"representation":[40,60],"development,":[43],"study":[45],"proposes":[46],"DySC-MDE,":[47],"an":[48,207,214],"end-to-end":[49],"co-designed":[50],"framework":[51],"for":[52,284],"detection.":[54,287],"A":[55],"novel":[56,282],"multi-domain":[57],"entropy":[58,71,156],"(MDE)":[59],"constructed":[62],"at":[63],"the":[64,79,123,136,139,173,184,187,201,221,229,232,258,272],"level":[66],"based":[67],"on":[68,194],"amplitude-sensitive":[69],"permutation":[70],"(ASPE),":[72],"adopts":[74],"entropy-based":[75],"quantifiers":[76],"to":[77,112,133,153,176],"characterize":[78],"nonlinear":[80,262],"dynamics":[81,118],"of":[82,119,138,186,209,216,239,261,274],"EEG":[83,120,277],"signals":[84],"across":[85,249],"diverse":[86],"domains.":[87],"Specifically,":[88],"ASPE":[89,99,105,110],"extended":[91],"into":[92],"three":[93,145],"distinct":[94],"variants,":[95],"refined":[96],"composite":[97],"multiscale":[98,109],"(RCMASPE),":[100],"discrete":[101],"wavelet":[102],"transform-based":[103],"hierarchical":[104],"(HASPE-DWT),":[106],"time-shift":[108],"(TSMASPE),":[111],"represent":[113],"various":[114],"temporal":[115],"spectral":[117],"signals.":[121],"At":[122],"level,":[125],"a":[126,154,165,236,281],"dynamic":[127,166,263],"synapse":[128],"(DySC)":[130],"proposed":[132,188,233],"align":[134],"with":[135],"structure":[137],"MDE":[140],"features.":[141],"Particularly,":[142],"DySC":[143],"includes":[144],"parallel":[146],"specialized":[148],"processing":[149],"pathways,":[150],"each":[151],"tailored":[152],"specific":[155],"variant.":[157],"These":[158],"outputs":[159],"then":[161],"adaptively":[162],"fused":[163],"through":[164],"synaptic":[167],"gating":[168],"mechanism,":[169],"can":[171,269],"enhance":[172],"model's":[174],"ability":[175,248],"integrate":[177],"heterogeneous":[178],"information":[179],"sources.":[180],"fully":[182],"evaluate":[183],"method,":[189],"extensive":[190],"experiments":[191],"conducted":[193],"two":[195],"public":[196],"datasets":[197],"using":[198],"cross-validation.":[199],"For":[200],"binary":[202],"classification":[203],"task,":[204,231],"DySC-MDE":[205],"achieves":[206],"accuracy":[208],"97.50%":[210],"98.93%":[212],"F1-score":[215,238],"97.58%":[217],"98.87%":[219],"Bonn":[222],"CHB-MIT":[224],"datasets,":[225],"respectively.":[226],"Moreover,":[227],"three-class":[230],"method":[234],"maintains":[235],"high":[237],"96.83%,":[240],"revealing":[241],"its":[242],"strong":[243],"discriminative":[244],"performance":[245],"generalization":[247],"different":[250],"categories.":[251],"Consequently,":[252],"these":[253],"impressive":[254],"results":[255],"demonstrate":[256],"that":[257],"joint":[259],"optimization":[260],"representations":[265],"structure-aware":[267],"classifiers":[268],"further":[270],"improve":[271],"analysis":[273],"epileptic":[276],"signals,":[278],"opens":[280],"direction":[283],"robust":[285]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}