{"id":"https://openalex.org/W7138971711","doi":"https://doi.org/10.1109/jiot.2026.3675694","title":"A Seizure Warning System Based on Multidimensional Attention Entropy and Improved Binary Mantis Search Algorithm","display_name":"A Seizure Warning System Based on Multidimensional Attention Entropy and Improved Binary Mantis Search Algorithm","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7138971711","doi":"https://doi.org/10.1109/jiot.2026.3675694"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3675694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3675694","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"},"type":"article","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/A5090693707","display_name":"Duanpo Wu","orcid":"https://orcid.org/0000-0001-6954-6587"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanpo Wu","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6954-6587","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042205717","display_name":"Shuchang Zhang","orcid":"https://orcid.org/0009-0001-2464-1270"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuchang Zhang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130197899","display_name":"Yi Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Lin","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuhan Gao","orcid":"https://orcid.org/0000-0002-7777-3613"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan Gao","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7777-3613","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129897166","display_name":"Tiejia Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113495","display_name":"Children's Hospital of Zhejiang University","ror":"https://ror.org/025fyfd20","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210113495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejia Jiang","raw_affiliation_strings":["Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3688-8366","affiliations":[{"raw_affiliation_string":"Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China","institution_ids":["https://openalex.org/I4210113495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073968803","display_name":"Yixuan Yuan","orcid":"https://orcid.org/0000-0002-0853-6948"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yixuan Yuan","raw_affiliation_strings":["Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-0853-6948","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121761574","display_name":"Xiaolong Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Ye","raw_affiliation_strings":["China Mobile (Zhejiang) Research and Innovation Institute, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile (Zhejiang) Research and Innovation Institute, Hangzhou, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054311881","display_name":"Chenggang Yan","orcid":"https://orcid.org/0000-0003-1204-0512"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenggang Yan","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1204-0512","affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29065393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"12","first_page":"26372","last_page":"26385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9746000170707703,"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":0.9746000170707703,"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":0.003800000064074993,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/feature-selection","display_name":"Feature selection","score":0.6463000178337097},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5713000297546387},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5515999794006348},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.49630001187324524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.446399986743927},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.43720000982284546},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4214000105857849},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.4066999852657318},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3476000130176544},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3393999934196472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914999723434448},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6463000178337097},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5713000297546387},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5515999794006348},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.49630001187324524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4697999954223633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.446399986743927},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.43720000982284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4302999973297119},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.4066999852657318},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.388700008392334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3050999939441681},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3028999865055084},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C81293917","wikidata":"https://www.wikidata.org/wiki/Q4189534","display_name":"System deployment","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.26669999957084656},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C2779296788","wikidata":"https://www.wikidata.org/wiki/Q5326904","display_name":"Early warning system","level":3,"score":0.25859999656677246},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3675694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3675694","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2083559341","display_name":null,"funder_award_id":"2024YFE0216400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3819846786","display_name":null,"funder_award_id":"62301203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Seizure":[0],"warning":[1],"system":[2,60],"(SWS)":[3],"based":[4,61],"on":[5,62,98,139,167,198],"electroencephalography":[6],"(EEG)":[7],"is":[8,78,137,165],"a":[9,57,143,186],"prominent":[10],"research":[11],"focus":[12],"in":[13,129],"the":[14,76,81,100,104,113,123,126,134,158,170,203,207],"internet":[15],"of":[16,35,93,106,115,125,183,190,206],"medical":[17],"things":[18],"(IoMT).":[19],"An":[20],"effective":[21],"SWS":[22],"enables":[23],"epilepsy":[24],"patients":[25],"to":[26,44,156],"proactively":[27],"implement":[28],"interventions":[29],"before":[30],"seizures.":[31],"Effective":[32],"feature":[33,160,205],"representation":[34],"EEG":[36],"reduces":[37],"communication":[38],"load":[39],"from":[40,90,169],"IoMT":[41],"processing":[42],"devices":[43],"cloud":[45,140],"servers":[46,141],"and":[47,67,122,146,150,185],"enhances":[48],"subsequent":[49],"machine/deep":[50],"learning":[51],"classification":[52],"performance.":[53],"This":[54],"paper":[55],"proposes":[56],"seizure":[58],"prediction":[59,188],"multidimensional":[63],"attention":[64,87],"entropy":[65,88],"(MAE)":[66],"an":[68,180],"improved":[69],"binary":[70],"mantis":[71],"search":[72],"algorithm":[73,101,164],"(IBMSA).":[74],"First,":[75],"MAE":[77],"calculated":[79],"at":[80],"edge":[82,195],"computing":[83],"gateway":[84],"by":[85],"extracting":[86],"(AE)":[89],"each":[91],"subband":[92,117],"single":[94,107,116,130],"channel":[95,108,131],"(AE-ESSC).":[96],"Based":[97],"this,":[99],"further":[102],"computes":[103],"AE":[105,114,124],"with":[109,118,176],"multiple":[110,119],"subbands":[111],"(AE-SCMS),":[112],"channels":[120],"(AE-SSMC)":[121],"original":[127],"signal":[128],"(AE-OSSC).":[132],"Second,":[133],"IBMSA":[135],"which":[136],"deployed":[138],"uses":[142],"composite":[144],"S-shaped":[145],"V-shaped":[147],"function":[148],"(CSVF)":[149],"dynamic":[151],"stage":[152],"selection":[153],"strategy":[154],"(DSSS)":[155],"find":[157],"optimal":[159],"subset.":[161],"The":[162],"proposed":[163,208],"evaluated":[166],"data":[168],"CHB-MIT":[171],"dataset":[172],"via":[173],"leave-one-out":[174],"cross-validation,":[175],"experimental":[177],"results":[178],"demonstrating":[179],"average":[181],"sensitivity":[182],"94.74%":[184],"false":[187],"rate":[189],"0.045":[191],"per":[192],"hour.":[193],"Additionally,":[194],"deployment":[196],"testing":[197],"Raspberry":[199],"Pi":[200],"4":[201],"verifies":[202],"lightweight":[204],"system.":[209]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2026-03-20T00:00:00"}