{"id":"https://openalex.org/W4413037439","doi":"https://doi.org/10.3390/a18080492","title":"Epileptic Seizure Prediction Using a Combination of Deep Learning, Time\u2013Frequency Fusion Methods, and Discrete Wavelet Analysis","display_name":"Epileptic Seizure Prediction Using a Combination of Deep Learning, Time\u2013Frequency Fusion Methods, and Discrete Wavelet Analysis","publication_year":2025,"publication_date":"2025-08-07","ids":{"openalex":"https://openalex.org/W4413037439","doi":"https://doi.org/10.3390/a18080492"},"language":"en","primary_location":{"id":"doi:10.3390/a18080492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18080492","pdf_url":"https://www.mdpi.com/1999-4893/18/8/492/pdf?version=1754539572","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/18/8/492/pdf?version=1754539572","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119240573","display_name":"Hadi Sadeghi Khansari","orcid":null},"institutions":[{"id":"https://openalex.org/I2801771032","display_name":"Islamic Azad University, Arak","ror":"https://ror.org/02558wk32","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I2801771032"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hadi Sadeghi Khansari","raw_affiliation_strings":["Department of Mathematics and Computer Science, Arak Branch, Islamic Azad University, Arak 3836119131, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Arak Branch, Islamic Azad University, Arak 3836119131, Iran","institution_ids":["https://openalex.org/I2801771032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051159072","display_name":"Mostafa Abbaszadeh","orcid":"https://orcid.org/0000-0001-6954-3896"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mostafa Abbaszadeh","raw_affiliation_strings":["Department of Applied Mathematics, Faculty of Mathematics and Computer Sciences, Amirkabir University of Technology (Tehran Polytechnic), No. 424, Hafez Ave., Tehran 15914, Iran"],"raw_orcid":"https://orcid.org/0000-0001-6954-3896","affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Faculty of Mathematics and Computer Sciences, Amirkabir University of Technology (Tehran Polytechnic), No. 424, Hafez Ave., Tehran 15914, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006127520","display_name":"Gholamreza Heidary Joonaghany","orcid":"https://orcid.org/0000-0002-7331-8795"},"institutions":[{"id":"https://openalex.org/I2801771032","display_name":"Islamic Azad University, Arak","ror":"https://ror.org/02558wk32","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I2801771032"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Gholamreza Heidary Joonaghany","raw_affiliation_strings":["Department of Mathematics and Computer Science, Arak Branch, Islamic Azad University, Arak 3836119131, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Arak Branch, Islamic Azad University, Arak 3836119131, Iran","institution_ids":["https://openalex.org/I2801771032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119240574","display_name":"Hamidreza Mohagerani","orcid":null},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamidreza Mohagerani","raw_affiliation_strings":["Quantum Technologies Research Center, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantum Technologies Research Center, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035920795","display_name":"Fardin Faraji","orcid":"https://orcid.org/0000-0002-0999-1926"},"institutions":[{"id":"https://openalex.org/I133903919","display_name":"Arak University of Medical Sciences","ror":"https://ror.org/056mgfb42","country_code":"IR","type":"education","lineage":["https://openalex.org/I133903919"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Fardin Faraji","raw_affiliation_strings":["Department of Neurology, School of Medicine, Arak University of Medical Sciences, Arak 3813873449, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurology, School of Medicine, Arak University of Medical Sciences, Arak 3813873449, Iran","institution_ids":["https://openalex.org/I133903919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051159072"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":3.139,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91828597,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"18","issue":"8","first_page":"492","last_page":"492"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9850999712944031,"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/computer-science","display_name":"Computer science","score":0.7750450968742371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7130082845687866},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6679026484489441},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.6311048865318298},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5682040452957153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5377621054649353},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4908455014228821},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4898168742656708},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.46598973870277405},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3772984445095062},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.35642915964126587},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.13036829233169556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750450968742371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7130082845687866},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6679026484489441},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.6311048865318298},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5682040452957153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5377621054649353},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4908455014228821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4898168742656708},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.46598973870277405},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3772984445095062},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.35642915964126587},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.13036829233169556},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/a18080492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18080492","pdf_url":"https://www.mdpi.com/1999-4893/18/8/492/pdf?version=1754539572","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c2117f782e7c4359a7efce00a26935e3","is_oa":true,"landing_page_url":"https://doaj.org/article/c2117f782e7c4359a7efce00a26935e3","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":"Algorithms, Vol 18, Iss 8, p 492 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a18080492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18080492","pdf_url":"https://www.mdpi.com/1999-4893/18/8/492/pdf?version=1754539572","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"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":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413037439.pdf","grobid_xml":"https://content.openalex.org/works/W4413037439.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2969795856","https://openalex.org/W3028395677","https://openalex.org/W3129489490","https://openalex.org/W3208327004","https://openalex.org/W3208965478","https://openalex.org/W4206377048","https://openalex.org/W4221080763","https://openalex.org/W4226194808","https://openalex.org/W4285165236","https://openalex.org/W4312535632","https://openalex.org/W4377197393","https://openalex.org/W4382072209","https://openalex.org/W4387245305","https://openalex.org/W4403144682","https://openalex.org/W4403453896","https://openalex.org/W4407098178","https://openalex.org/W4412567774"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W4245420407","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W4401371153","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W598225674","https://openalex.org/W1588899229"],"abstract_inverted_index":{"Epileptic":[0],"seizure":[1,29,135],"prediction":[2,30,104],"remains":[3],"a":[4,27,103,109],"critical":[5],"challenge":[6],"in":[7,161],"neuroscience":[8],"and":[9,18,47,67,74,128,149],"healthcare,":[10],"with":[11,92,108],"profound":[12],"implications":[13],"for":[14,132,145],"enhancing":[15,158],"patient":[16],"safety":[17],"quality":[19],"of":[20,106,123],"life.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"introduce":[26],"novel":[28],"method":[31,80],"that":[32,98],"leverages":[33],"electroencephalogram":[34],"(EEG)":[35],"data,":[36,156],"combining":[37],"discrete":[38],"wavelet":[39],"transform":[40],"(DWT)-based":[41],"time\u2013frequency":[42],"analysis,":[43],"advanced":[44,125],"feature":[45],"extraction,":[46],"deep":[48,129],"learning":[49,130],"using":[50],"Fourier":[51],"neural":[52],"networks":[53],"(FNNs).":[54],"The":[55],"proposed":[56],"approach":[57],"extracts":[58],"essential":[59],"features":[60],"from":[61],"EEG":[62,87],"signals\u2014including":[63],"entropy,":[64],"power,":[65],"frequency,":[66],"amplitude\u2014to":[68],"effectively":[69],"capture":[70],"the":[71,79,83,121,143],"brain\u2019s":[72],"complex":[73],"nonstationary":[75],"dynamics.":[76],"We":[77],"measure":[78],"based":[81],"on":[82,141],"broadly":[84],"used":[85],"CHB-MIT":[86],"dataset,":[88],"ensuring":[89],"direct":[90],"comparability":[91],"prior":[93],"research.":[94],"Experimental":[95],"results":[96],"demonstrate":[97],"our":[99],"DWT-FS-FNN":[100],"model":[101,144],"achieves":[102],"accuracy":[105],"98.96":[107],"zero":[110],"false":[111],"positive":[112],"rate,":[113],"outperforming":[114],"several":[115],"state-of-the-art":[116],"methods.":[117],"These":[118],"findings":[119],"underscore":[120],"potential":[122],"integrating":[124],"signal":[126],"processing":[127],"methods":[131],"reliable,":[133],"real-time":[134],"prediction.":[136],"Future":[137],"work":[138],"will":[139],"focus":[140],"optimizing":[142],"real-world":[146],"clinical":[147,162],"deployment":[148],"expanding":[150],"it":[151],"to":[152],"incorporate":[153],"multimodal":[154],"physiological":[155],"further":[157],"its":[159],"applicability":[160],"practice.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
