{"id":"https://openalex.org/W7130823382","doi":"https://doi.org/10.1016/j.bspc.2026.109895","title":"Adaptive Full-Scale Frequency Filters based Dual-Granularity Interaction Network for Motor Imagery/Motor Execution-Electroencephalogram decoding","display_name":"Adaptive Full-Scale Frequency Filters based Dual-Granularity Interaction Network for Motor Imagery/Motor Execution-Electroencephalogram decoding","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7130823382","doi":"https://doi.org/10.1016/j.bspc.2026.109895"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2026.109895","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.109895","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","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/A5126547188","display_name":"Zexiong Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I32246829","display_name":"Guangdong University of Education","ror":"https://ror.org/0574der91","country_code":"CN","type":"education","lineage":["https://openalex.org/I32246829"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexiong Shao","raw_affiliation_strings":["South China University of Technology, School of Automation Science and Engineering, Guangzhou, 510641, Guangdong, China","The Institute of Super Robotics (Huangpu), Guangzhou, 510700, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, School of Automation Science and Engineering, Guangzhou, 510641, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"The Institute of Super Robotics (Huangpu), Guangzhou, 510700, Guangdong, China","institution_ids":["https://openalex.org/I32246829"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126556540","display_name":"Le Che","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Che","raw_affiliation_strings":["South China University of Technology, School of Architecture, Guangzhou, 510641, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, School of Architecture, Guangzhou, 510641, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041088209","display_name":"Zhibin Yu","orcid":"https://orcid.org/0000-0003-0845-9951"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhuliang Yu","raw_affiliation_strings":["South China University of Technology, Shien-Ming Wu School of Intelligent Engineering, Guangzhou, 511442, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Shien-Ming Wu School of Intelligent Engineering, Guangzhou, 511442, Guangdong, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041088209"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.66693603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"119","issue":null,"first_page":"109895","last_page":"109895"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9842000007629395,"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":0.9842000007629395,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.002199999988079071,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.0013000000035390258,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.683899998664856},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5188000202178955},{"id":"https://openalex.org/keywords/local-field-potential","display_name":"Local field potential","score":0.4853000044822693},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4034000039100647},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3889000117778778},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.3797999918460846},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.3779999911785126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3634999990463257},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.352400004863739}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101999759674072},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.683899998664856},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C117838684","wikidata":"https://www.wikidata.org/wiki/Q533483","display_name":"Local field potential","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43380001187324524},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4034000039100647},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.3797999918460846},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2026.109895","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.bspc.2026.109895","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1994677652","https://openalex.org/W2010371409","https://openalex.org/W2119163516","https://openalex.org/W2160783467","https://openalex.org/W2194775991","https://openalex.org/W2207126463","https://openalex.org/W2531409750","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W3004533549","https://openalex.org/W3047208690","https://openalex.org/W3196236986","https://openalex.org/W4286581995","https://openalex.org/W4289654500","https://openalex.org/W4312597583","https://openalex.org/W4319068569","https://openalex.org/W4327521769","https://openalex.org/W4385299413","https://openalex.org/W4387490400","https://openalex.org/W4389692426","https://openalex.org/W4390968699","https://openalex.org/W4393241373","https://openalex.org/W4401908476","https://openalex.org/W4401942835","https://openalex.org/W4402598840","https://openalex.org/W4404136314","https://openalex.org/W4404469344","https://openalex.org/W4405450233","https://openalex.org/W4405662477","https://openalex.org/W4405835154","https://openalex.org/W4413304469","https://openalex.org/W4414545110"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-23T06:19:19.047976","created_date":"2026-02-22T00:00:00"}