{"id":"https://openalex.org/W4405218941","doi":"https://doi.org/10.1109/access.2024.3514859","title":"Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation","display_name":"Epileptic Seizure Prediction Based on Synchroextracting Transform and Sparse Representation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4405218941","doi":"https://doi.org/10.1109/access.2024.3514859"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3514859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514859","pdf_url":null,"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://doi.org/10.1109/access.2024.3514859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030470925","display_name":"Jee Sook","orcid":"https://orcid.org/0000-0002-6069-2243"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jee Sook Ra","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6069-2243","affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078180462","display_name":"Tianning Li","orcid":"https://orcid.org/0000-0001-5142-8654"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tianning Li","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5142-8654","affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443879","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-4694-4926"},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4694-4926","affiliations":[{"raw_affiliation_string":"School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia","institution_ids":["https://openalex.org/I185523456"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185523456"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8152,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72610868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"187684","last_page":"187695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9948999881744385,"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":0.9948999881744385,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9465000033378601,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.6588373184204102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203891634941101},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.549379289150238},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4975455105304718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47511324286460876},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4660692512989044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40383797883987427},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09310391545295715},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08059155941009521}],"concepts":[{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.6588373184204102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203891634941101},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.549379289150238},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4975455105304718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47511324286460876},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4660692512989044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40383797883987427},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09310391545295715},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08059155941009521},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3514859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514859","pdf_url":null,"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:b6b4b02d972e4f88a2c1a9917b79342a","is_oa":true,"landing_page_url":"https://doaj.org/article/b6b4b02d972e4f88a2c1a9917b79342a","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 12, Pp 187684-187695 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3514859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3514859","pdf_url":null,"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W67247087","https://openalex.org/W1974009602","https://openalex.org/W1982088840","https://openalex.org/W1983905049","https://openalex.org/W1988565407","https://openalex.org/W2013439434","https://openalex.org/W2053744708","https://openalex.org/W2100371645","https://openalex.org/W2116216716","https://openalex.org/W2126301071","https://openalex.org/W2130365009","https://openalex.org/W2150956999","https://openalex.org/W2169812774","https://openalex.org/W2171782446","https://openalex.org/W2172016139","https://openalex.org/W2190662802","https://openalex.org/W2190884494","https://openalex.org/W2277425195","https://openalex.org/W2586456943","https://openalex.org/W2612449331","https://openalex.org/W2754962589","https://openalex.org/W2788684127","https://openalex.org/W2804824909","https://openalex.org/W2901504266","https://openalex.org/W2902704945","https://openalex.org/W2915893085","https://openalex.org/W2964597528","https://openalex.org/W2965277555","https://openalex.org/W2967087414","https://openalex.org/W2976267777","https://openalex.org/W2980059005","https://openalex.org/W2996420055","https://openalex.org/W3007289630","https://openalex.org/W3009814846","https://openalex.org/W3016087461","https://openalex.org/W3023066741","https://openalex.org/W3037396976","https://openalex.org/W3082221732","https://openalex.org/W3096860278","https://openalex.org/W3113968749","https://openalex.org/W3122761445","https://openalex.org/W3160538748","https://openalex.org/W3162159166","https://openalex.org/W3212685526","https://openalex.org/W3217009197","https://openalex.org/W4205538627","https://openalex.org/W4296203798","https://openalex.org/W4312213554","https://openalex.org/W4313340597","https://openalex.org/W4313839387","https://openalex.org/W4381108579","https://openalex.org/W4399618155","https://openalex.org/W4401467467","https://openalex.org/W6634494761","https://openalex.org/W6689777920"],"related_works":["https://openalex.org/W2395385109","https://openalex.org/W2773633178","https://openalex.org/W2080101436","https://openalex.org/W2802335767","https://openalex.org/W2356350882","https://openalex.org/W4388090985","https://openalex.org/W1545074592","https://openalex.org/W1964749215","https://openalex.org/W2363907062","https://openalex.org/W2393137063"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,30,42,62,124,194,219],"is":[2,68,85],"crucial":[3],"in":[4,63,164,220],"machine":[5,20,136,207],"learning":[6,21,137,208],"and":[7,55,75,156,224],"EEG":[8,65,186,221],"analysis,":[9],"where":[10],"raw":[11],"data":[12],"often":[13],"contains":[14],"excess":[15],"information.":[16],"The":[17,119,168],"prominence":[18],"of":[19,27,121,150,217],"has":[22],"led":[23],"to":[24,86,114],"the":[25,33,51,92,140,143,153,160,215],"development":[26],"numerous":[28],"feature":[29,41,61,123,193,218],"methods":[31,209,229],"over":[32],"past":[34],"decade.":[35],"This":[36,212],"paper":[37],"introduces":[38],"an":[39,147,178],"efficient":[40,179],"method":[43,125],"that":[44,191,226],"demonstrates":[45],"superior":[46],"experimental":[47],"results.":[48],"We":[49],"employed":[50,232],"Synchroextracting":[52],"Transform":[53],"(SET)":[54],"Sparse":[56],"Representation":[57],"(SR)":[58],"for":[59,176,233],"enhanced":[60,192],"epileptic":[64,117],"analysis.":[66],"SET":[67,111],"a":[69,97,129,134],"recently":[70],"developed":[71],"signal":[72,222],"transformation":[73],"technique,":[74],"SR":[76,109],"effectively":[77,170],"extracts":[78],"information":[79],"from":[80],"multi-dimensional":[81,112],"data.":[82,187],"Our":[83,188],"goal":[84],"enhance":[87],"time-frequency":[88],"(TF)":[89],"resolution":[90],"using":[91,128,205],"SET-SR":[93,141,169],"method,":[94],"which":[95],"offers":[96],"TF":[98,106],"representation":[99],"more":[100],"concentrated":[101],"with":[102,142,200],"energy":[103],"than":[104],"traditional":[105,135],"analysis":[107,223],"methods.":[108],"decomposes":[110],"sub-signals":[113],"accurately":[115],"predict":[116],"seizures.":[118],"significance":[120],"this":[122],"was":[126],"evaluated":[127],"k-Nearest":[130],"Neighbor":[131],"(k-NN)":[132],"algorithm,":[133],"technique.":[138],"Applying":[139],"k-NN,":[144],"we":[145],"achieved":[146],"average":[148],"accuracy":[149,158],"99.48%":[151],"on":[152,159,185],"CHB-MIT":[154],"database":[155,163],"100%":[157],"Bonn":[161],"University":[162],"classifying":[165],"pre-seizure":[166,172,198],"signals.":[167],"detects":[171],"signals,":[173],"showing":[174],"promise":[175],"developing":[177],"patient-specific":[180],"seizure":[181,235],"prediction":[182,236],"algorithm":[183],"based":[184],"findings":[189],"demonstrate":[190],"can":[195,230],"reliably":[196],"identify":[197],"signals":[199],"high":[201,239],"precision,":[202],"even":[203],"when":[204],"classical":[206],"like":[210],"k-NN.":[211],"research":[213],"underscores":[214],"importance":[216],"suggests":[225],"diverse":[227],"classification":[228],"be":[231],"real-time":[234],"while":[237],"maintaining":[238],"accuracy.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}