{"id":"https://openalex.org/W4396506302","doi":"https://doi.org/10.1109/jiot.2024.3395496","title":"Hyperdimensional Computing With Multiscale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection","display_name":"Hyperdimensional Computing With Multiscale Local Binary Patterns for Scalp EEG-Based Epileptic Seizure Detection","publication_year":2024,"publication_date":"2024-04-30","ids":{"openalex":"https://openalex.org/W4396506302","doi":"https://doi.org/10.1109/jiot.2024.3395496"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3395496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3395496","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":true,"oa_status":"green","oa_url":"http://hub.hku.hk/bitstream/10722/348535/1/content.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102724831","display_name":"Yipeng Du","orcid":"https://orcid.org/0009-0004-5703-4292"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yipeng Du","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0004-5703-4292","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730139","display_name":"Yuan Ren","orcid":"https://orcid.org/0000-0002-6373-2685"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuan Ren","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-6373-2685","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3026-0108","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077317339","display_name":"Edith C.\u2010H. Ngai","orcid":"https://orcid.org/0000-0002-3454-8731"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Edith C. H. Ngai","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3454-8731","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Faculty of Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102724831"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":2.0029,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86428068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"15","first_page":"26046","last_page":"26061"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7552516460418701},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7436736822128296},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6849417090415955},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.623837947845459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5953983664512634},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.592969536781311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5818312764167786},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4695865511894226},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4401783049106598},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.437451034784317},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4335607886314392},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4152040183544159},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34393197298049927},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.19087082147598267},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08365306258201599},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07776769995689392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552516460418701},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7436736822128296},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6849417090415955},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.623837947845459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5953983664512634},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.592969536781311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5818312764167786},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4695865511894226},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4401783049106598},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.437451034784317},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4335607886314392},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4152040183544159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34393197298049927},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.19087082147598267},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08365306258201599},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07776769995689392},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jiot.2024.3395496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3395496","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"},{"id":"pmh:oai:hub.hku.hk:10722/348535","is_oa":true,"landing_page_url":"https://hub.hku.hk/handle/10722/348535","pdf_url":"http://hub.hku.hk/bitstream/10722/348535/1/content.pdf","source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:hub.hku.hk:10722/348535","is_oa":true,"landing_page_url":"https://hub.hku.hk/handle/10722/348535","pdf_url":"http://hub.hku.hk/bitstream/10722/348535/1/content.pdf","source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396506302.pdf","grobid_xml":"https://content.openalex.org/works/W4396506302.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1512444571","https://openalex.org/W1985043179","https://openalex.org/W2008413532","https://openalex.org/W2038235993","https://openalex.org/W2042682017","https://openalex.org/W2070862086","https://openalex.org/W2088786840","https://openalex.org/W2095217667","https://openalex.org/W2141514928","https://openalex.org/W2143776609","https://openalex.org/W2187089797","https://openalex.org/W2413103469","https://openalex.org/W2582398088","https://openalex.org/W2624514417","https://openalex.org/W2756865660","https://openalex.org/W2887773909","https://openalex.org/W2896977870","https://openalex.org/W2898875281","https://openalex.org/W2899224990","https://openalex.org/W2910334812","https://openalex.org/W2911761011","https://openalex.org/W2914534442","https://openalex.org/W2942968344","https://openalex.org/W2947657751","https://openalex.org/W2963492949","https://openalex.org/W2995459561","https://openalex.org/W3000934636","https://openalex.org/W3019791076","https://openalex.org/W3082536176","https://openalex.org/W3083860807","https://openalex.org/W3105115497","https://openalex.org/W3112740243","https://openalex.org/W3135511716","https://openalex.org/W3148214792","https://openalex.org/W3158026198","https://openalex.org/W3158212609","https://openalex.org/W3165929947","https://openalex.org/W3184456550","https://openalex.org/W3195916919","https://openalex.org/W3196312915","https://openalex.org/W3208886951","https://openalex.org/W3211537298","https://openalex.org/W4200184869","https://openalex.org/W4206126837","https://openalex.org/W4221002403","https://openalex.org/W4221098153","https://openalex.org/W4226285927","https://openalex.org/W4281399130","https://openalex.org/W4283065622","https://openalex.org/W4283325968","https://openalex.org/W4285274090","https://openalex.org/W4285391286","https://openalex.org/W4296108895","https://openalex.org/W4298061300","https://openalex.org/W4306831134","https://openalex.org/W4307117696","https://openalex.org/W4313452937","https://openalex.org/W4315881085","https://openalex.org/W4316037831","https://openalex.org/W4320402145","https://openalex.org/W4367302014","https://openalex.org/W4390620025","https://openalex.org/W6680455596","https://openalex.org/W6748218292"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W1589677080","https://openalex.org/W2032664813","https://openalex.org/W2770255720"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,16],"a":[2,52,116],"common":[3],"condition":[4],"that":[5,171,235],"causes":[6],"frequent":[7],"seizures,":[8],"significantly":[9],"impacting":[10],"patients\u2019":[11],"daily":[12],"lives.":[13],"Non-invasive":[14],"EEG":[15,25,77,106,124],"an":[17],"effective":[18],"tool":[19],"for":[20,55,89,122,177],"detecting":[21],"seizure":[22,180],"onset.":[23],"Wearable":[24],"devices":[26],"enable":[27],"real-time":[28],"monitoring":[29],"and":[30,43,60,103,182,203,214,231],"timely":[31],"intervention":[32],"but":[33],"pose":[34],"new":[35],"algorithmic":[36],"challenges":[37],"on":[38,97,101,132,163],"small":[39,57],"model":[40,190],"weight":[41,58,191],"sizes":[42],"limited":[44],"training":[45,223],"data.":[46,224],"Brain-inspired":[47],"hyperdimensional":[48],"computing":[49],"(HDC)":[50],"presents":[51],"potential":[53],"solution":[54],"its":[56],"size":[59,192],"quick":[61],"learning":[62,208],"ability.":[63],"Combining":[64],"local":[65,134],"binary":[66],"pattern":[67],"(LBP)":[68],"codes":[69],"with":[70,187],"HDC":[71,119,129,204],"can":[72],"capture":[73],"dynamic":[74,141],"features":[75,83,142,240],"in":[76,158,193],"time":[78,145,232],"series.":[79],"However,":[80],"traditional":[81,127],"LBP":[82],"may":[84],"not":[85],"offer":[86],"sufficient":[87],"robustness":[88],"trend":[90],"modeling":[91],"due":[92],"to":[93,147,196],"their":[94],"high":[95,216],"localization":[96],"individual":[98],"samples,":[99],"particularly":[100],"low-amplitude":[102],"non-stationary":[104],"scalp":[105,123],"signals.":[107],"To":[108],"address":[109],"the":[110,133,137,164,174,188,222,247],"above":[111],"challenges,":[112],"this":[113],"paper":[114],"proposes":[115],"multi-scale":[117],"LBP-based":[118,128],"(MSLBP-HDC)":[120],"approach":[121],"analysis.":[125],"Unlike":[126],"focusing":[130],"only":[131,219],"change":[135],"trend,":[136],"designed":[138],"MSLBP-HDC":[139,159,172,210,236],"extracts":[140,238],"at":[143],"different":[144],"resolutions":[146],"detect":[148],"abnormal":[149],"cortical":[150],"oscillations.":[151],"The":[152],"lengths":[153],"of":[154,166,221],"multiple":[155],"temporal":[156],"scales":[157],"are":[160],"determined":[161],"based":[162],"duration":[165],"spikes.":[167],"Our":[168],"results":[169],"demonstrate":[170],"has":[173],"highest":[175],"specificity":[176],"all":[178],"test":[179],"types":[181],"achieves":[183,215],"competitive":[184],"macroaveraging":[185],"accuracy":[186,217],"smallest":[189],"detection,":[194],"compared":[195],"advanced":[197],"deep":[198],"learning,":[199],"support":[200],"vector":[201],"machine,":[202],"methods.":[205],"Regarding":[206],"few-shot":[207],"performance,":[209],"outperforms":[211],"existing":[212],"approaches":[213],"using":[218],"1%":[220],"Moreover,":[225],"feature":[226],"interpretability":[227],"analysis":[228],"from":[229],"space":[230],"domains":[233],"highlights":[234],"successfully":[237],"seizure-relevant":[239],"rather":[241],"than":[242],"noise":[243],"or":[244],"artifacts,":[245],"ensuring":[246],"algorithm\u2019s":[248],"reliability.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
