{"id":"https://openalex.org/W4385080040","doi":"https://doi.org/10.1109/iscas46773.2023.10181950","title":"TinyML for EEG Decoding on Microcontrollers","display_name":"TinyML for EEG Decoding on Microcontrollers","publication_year":2023,"publication_date":"2023-05-21","ids":{"openalex":"https://openalex.org/W4385080040","doi":"https://doi.org/10.1109/iscas46773.2023.10181950"},"language":"en","primary_location":{"id":"doi:10.1109/iscas46773.2023.10181950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10181950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5009913094","display_name":"Antonios Tragoudaras","orcid":"https://orcid.org/0000-0001-6091-9615"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Antonios Tragoudaras","raw_affiliation_strings":["King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Thuwal,Saudi Arabia","Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Thuwal,Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]},{"raw_affiliation_string":"Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041803182","display_name":"Charalampos Antoniadis","orcid":"https://orcid.org/0000-0002-5902-5240"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Charalampos Antoniadis","raw_affiliation_strings":["King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Thuwal,Saudi Arabia","Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Thuwal,Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]},{"raw_affiliation_string":"Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057380866","display_name":"Yehia Massoud","orcid":"https://orcid.org/0000-0002-6701-0639"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Yehia Massoud","raw_affiliation_strings":["King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Thuwal,Saudi Arabia","Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology (KAUST),Innovative Technologies Laboratories (ITL),Thuwal,Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]},{"raw_affiliation_string":"Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I71920554"],"apc_list":null,"apc_paid":null,"fwci":2.4653,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89627275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8105815649032593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7978461384773254},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6970126628875732},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6904082298278809},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5398361682891846},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.5347119569778442},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4917905628681183},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45349180698394775},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4337167739868164},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.4261074960231781},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4216209053993225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37474533915519714},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3672381639480591},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1390555202960968}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8105815649032593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7978461384773254},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6970126628875732},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6904082298278809},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5398361682891846},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.5347119569778442},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4917905628681183},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45349180698394775},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4337167739868164},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.4261074960231781},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4216209053993225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37474533915519714},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3672381639480591},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1390555202960968},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas46773.2023.10181950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas46773.2023.10181950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/693204","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/693204","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W877297219","https://openalex.org/W2027927824","https://openalex.org/W2060460256","https://openalex.org/W2132360759","https://openalex.org/W2133561518","https://openalex.org/W2553303224","https://openalex.org/W2788853733","https://openalex.org/W2810271953","https://openalex.org/W2947565354","https://openalex.org/W2951104886","https://openalex.org/W2962951526","https://openalex.org/W2963918968","https://openalex.org/W2964024268","https://openalex.org/W2964259004","https://openalex.org/W2965658867","https://openalex.org/W3044604993","https://openalex.org/W3137501664","https://openalex.org/W4288095610","https://openalex.org/W4295118950","https://openalex.org/W6666279874","https://openalex.org/W6679555981","https://openalex.org/W6729956949","https://openalex.org/W6748587240","https://openalex.org/W6752515464","https://openalex.org/W6753321367","https://openalex.org/W6755800398","https://openalex.org/W6756887525","https://openalex.org/W6763341371","https://openalex.org/W6769561780","https://openalex.org/W6780827055"],"related_works":["https://openalex.org/W2365048703","https://openalex.org/W2029144766","https://openalex.org/W3017203753","https://openalex.org/W2348545647","https://openalex.org/W2385322349","https://openalex.org/W2357077655","https://openalex.org/W4205451769","https://openalex.org/W2089275957","https://openalex.org/W2052976169","https://openalex.org/W3067797230"],"abstract_inverted_index":{"The":[0,29],"accurate":[1,147],"decoding":[2,93,118,212],"of":[3,32,60,111,249,257],"ElectroEncephaloGraphy":[4],"(EEG)":[5],"signals":[6],"would":[7],"bring":[8],"us":[9],"closer":[10],"to":[11,18,85,235,259],"understanding":[12],"brain":[13,20],"functionality,":[14],"opening":[15],"new":[16,24],"pathways":[17],"fixing":[19],"impairments":[21],"and":[22,45,192],"devising":[23],"Brain-Computer":[25],"Interface":[26],"(BCI)-related":[27],"applications.":[28],"impressive":[30],"success":[31],"deep":[33,61,112,148],"convolutional":[34,62,113,149],"neural":[35,63,114,150],"networks":[36,115],"extracting":[37],"information":[38],"from":[39,183],"raw":[40],"data":[41],"in":[42,72,101,108,139,163,214,255],"computer":[43],"vision":[44],"natural":[46],"language":[47],"processing":[48],"has":[49],"motivated":[50],"their":[51,121],"investigation":[52],"into":[53,130],"EEG":[54,76,117],"signal":[55,77],"decoding.":[56,78],"Consequently,":[57],"a":[58,131,164,174,247,253],"number":[59],"network":[64,151],"models":[65,205,230],"with":[66,90,134,166,206,209,252],"state-of-the-art":[67],"performance":[68],"have":[69],"been":[70],"proposed":[71],"the":[73,87,91,95,105,109,145,153,184,187,190,193,199,207,210,215,218,228,236,241],"literature":[74,216],"for":[75,116,144],"However,":[79],"because":[80],"all":[81],"these":[82],"works":[83],"aimed":[84],"find":[86],"model":[88,106,188,208,238],"architecture":[89],"best":[92,211],"accuracy,":[94,186],"model's":[96,185,200],"size":[97,107],"was":[98],"left":[99],"unbounded":[100],"that":[102,159,180,227],"exploration.":[103],"Considering":[104],"design":[110],"could":[119,231],"make":[120],"implementation":[122],"on":[123,152,217,261],"low-power":[124],"microcontrollers":[125],"(that":[126],"may":[127],"be":[128],"integrated":[129],"wearable":[132],"system)":[133],"limited":[135],"memory":[136,195,242],"feasible.":[137],"Thus,":[138],"this":[140],"paper,":[141],"we":[142,172],"search":[143],"most":[146],"BCI":[154,219],"Competition":[155,220],"IV":[156,221],"2a":[157,222],"dataset":[158,223],"can":[160],"also":[161],"fit":[162],"microcontroller":[165],"less":[167],"than":[168],"256KB":[169],"SRAM.":[170],"Specifically,":[171],"use":[173],"Neural":[175],"Architecture":[176],"Search":[177],"(NAS)":[178],"algorithm":[179],"considers,":[181],"apart":[182],"size,":[189],"latency,":[191],"peak":[194],"utilization":[196],"when":[197],"running":[198],"inference.":[201],"We":[202,225],"compare":[203],"our":[204],"accuracy":[213,234],"(baseline).":[224],"show":[226],"discovered":[229],"achieve":[232],"similar":[233],"baseline":[237],"while":[239],"shrinking":[240],"footprint":[243],"during":[244],"inference":[245],"by":[246],"factor":[248],"\u2248":[250],"\u00d720,":[251],"speedup":[254],"latency":[256],"up":[258],"\u00d71.7":[260],"average.":[262]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}