{"id":"https://openalex.org/W7155054190","doi":"https://doi.org/10.1109/icara69401.2026.11480292","title":"A Lightweight Hankel-Embedded Pipeline for Real-Time EEG Filtering and Classification","display_name":"A Lightweight Hankel-Embedded Pipeline for Real-Time EEG Filtering and Classification","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7155054190","doi":"https://doi.org/10.1109/icara69401.2026.11480292"},"language":null,"primary_location":{"id":"doi:10.1109/icara69401.2026.11480292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara69401.2026.11480292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 12th International Conference on Automation, Robotics and Applications (ICARA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081049536","display_name":"Ivan Menshikov","orcid":"https://orcid.org/0000-0002-9987-4060"},"institutions":[{"id":"https://openalex.org/I4210097501","display_name":"Rebion (United States)","ror":"https://ror.org/00qqrrn06","country_code":"US","type":"company","lineage":["https://openalex.org/I4210097501"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan Menshikov","raw_affiliation_strings":["Rebis LLC"],"raw_orcid":"https://orcid.org/0000-0002-9987-4060","affiliations":[{"raw_affiliation_string":"Rebis LLC","institution_ids":["https://openalex.org/I4210097501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120767373","display_name":"Nikita Elfimov","orcid":"https://orcid.org/0009-0001-0197-4267"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nikita Elfimov","raw_affiliation_strings":["Lomonosov Moscow State University,Department of Mechanics and Mathematics"],"raw_orcid":"https://orcid.org/0009-0001-0197-4267","affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State University,Department of Mechanics and Mathematics","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067297477","display_name":"Alexandra Bernadotte","orcid":"https://orcid.org/0000-0002-8835-6583"},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]},{"id":"https://openalex.org/I4210160154","display_name":"Chemical Semantics (United States)","ror":"https://ror.org/04qca6973","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160154"]}],"countries":["RU","US"],"is_corresponding":false,"raw_author_name":"Alexandra Bernadotte","raw_affiliation_strings":["HSE University,Laboratory of Analysis of Semantics, Center for Language and Semantics Technologies, Faculty of Computer Science,Department of Mechanics and Mathematics"],"raw_orcid":"https://orcid.org/0000-0002-8835-6583","affiliations":[{"raw_affiliation_string":"HSE University,Laboratory of Analysis of Semantics, Center for Language and Semantics Technologies, Faculty of Computer Science,Department of Mechanics and Mathematics","institution_ids":["https://openalex.org/I118501908","https://openalex.org/I4210160154"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":26.6074,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98774715,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"589","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8270999789237976,"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":0.8270999789237976,"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":0.031300000846385956,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/pipeline","display_name":"Pipeline (software)","score":0.586899995803833},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3625999987125397},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.35670000314712524},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.29280000925064087},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2752000093460083}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.586899995803833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5726000070571899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5315999984741211},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37929999828338623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.35670000314712524},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2619999945163727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icara69401.2026.11480292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icara69401.2026.11480292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 12th International Conference on Automation, Robotics and Applications (ICARA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1974803102","https://openalex.org/W1975964493","https://openalex.org/W2032695494","https://openalex.org/W2037451888","https://openalex.org/W2094055246","https://openalex.org/W2163969766","https://openalex.org/W2559463885","https://openalex.org/W2810453816","https://openalex.org/W3088821878","https://openalex.org/W4200581054","https://openalex.org/W4232129301","https://openalex.org/W4252589307","https://openalex.org/W4290725597","https://openalex.org/W4313327206","https://openalex.org/W4383958059","https://openalex.org/W4383958099"],"related_works":[],"abstract_inverted_index":{"EEG-based":[0],"BCIs":[1],"face":[2],"noise":[3,54],"and":[4],"computational":[5],"constraints":[6],"for":[7,39,90],"on-device":[8],"deployment.":[9],"We":[10],"present":[11],"a":[12,86],"lightweight":[13],"pipeline":[14,66],"using":[15],"Hankel":[16],"embeddings:":[17],"projecting":[18],"EEG":[19,88],"blocks":[20],"onto":[21],"paired":[22],"eigenvectors":[23],"yields":[24],"oscillators-closed-orbit":[25],"components.":[26],"Our":[27],"approach":[28],"provides":[29],"three":[30],"contributions:":[31],"(1)":[32],"jPCA-based":[33],"oscillator":[34,61],"dynamics":[35],"with":[36],"mechanics-inspired":[37],"descriptors":[38],"stable,":[40],"class-separable":[41],"features;":[42],"(2)":[43],"adaptive":[44],"band-pass":[45],"filtering":[46],"by":[47,83],"reconstructing":[48],"signals":[49],"from":[50],"selected":[51],"oscillators,":[52],"suppressing":[53],"without":[55],"preset":[56],"frequencies;":[57],"(3)":[58],"consistent":[59],"spatiotemporal":[60],"localization":[62],"across":[63],"channels.":[64],"The":[65],"uses":[67],"only":[68],"matrix":[69],"operations,":[70],"enabling":[71],"GPU-free":[72],"streaming.":[73],"On":[74],"motor-imagery":[75],"benchmarks,":[76],"our":[77],"Hankel-based":[78],"filter":[79],"improves":[80],"classifier":[81],"accuracy":[82],"6%,":[84],"providing":[85],"resource-efficient":[87],"representation":[89],"edge":[91],"BCI":[92],"systems.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2026-04-22T00:00:00"}
