{"id":"https://openalex.org/W2162480886","doi":"https://doi.org/10.1109/icpr.2008.4761638","title":"Convolutional Neural Network with embedded Fourier Transform for EEG classification","display_name":"Convolutional Neural Network with embedded Fourier Transform for EEG classification","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2162480886","doi":"https://doi.org/10.1109/icpr.2008.4761638","mag":"2162480886"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761638","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5025447862","display_name":"Hubert Cecotti","orcid":"https://orcid.org/0000-0002-7661-0070"},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hubert Cecotti","raw_affiliation_strings":["Institute of Automation (IAT), University of Brethemen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation (IAT), University of Brethemen, Germany","institution_ids":["https://openalex.org/I4210157642"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060600469","display_name":"Axel Graeser","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157642","display_name":"Institute of Automation","ror":"https://ror.org/056qj1t15","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210157642","https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Graeser","raw_affiliation_strings":["Institute of Automation (IAT), University of Brethemen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation (IAT), University of Brethemen, Germany","institution_ids":["https://openalex.org/I4210157642"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210157642"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/T11447","display_name":"Blind Source Separation Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8709391951560974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7960033416748047},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7482973337173462},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6542089581489563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6376153826713562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5893905162811279},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5595450401306152},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.49951720237731934},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4853876829147339},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4793025553226471},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4688592553138733},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.46777620911598206},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.45887696743011475},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44818639755249023},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4281967580318451},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.4180942475795746},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21989288926124573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1623559594154358},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1568189263343811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10783025622367859},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08921274542808533}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8709391951560974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7960033416748047},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7482973337173462},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6542089581489563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6376153826713562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5893905162811279},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5595450401306152},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.49951720237731934},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4853876829147339},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4793025553226471},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4688592553138733},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.46777620911598206},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.45887696743011475},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44818639755249023},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4281967580318451},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4180942475795746},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21989288926124573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1623559594154358},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1568189263343811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10783025622367859},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08921274542808533},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761638","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.2115","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.2115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuBCT9.35.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1841495259","https://openalex.org/W2010625877","https://openalex.org/W2015655161","https://openalex.org/W2094817712","https://openalex.org/W2112796928","https://openalex.org/W2119252970","https://openalex.org/W2122515425","https://openalex.org/W2129660483","https://openalex.org/W2130705118","https://openalex.org/W2135454142","https://openalex.org/W2146744682","https://openalex.org/W3216020319","https://openalex.org/W4241598993"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W2044053727","https://openalex.org/W1994410349","https://openalex.org/W1947057263","https://openalex.org/W2355447608","https://openalex.org/W1980067354","https://openalex.org/W2033324903","https://openalex.org/W2905220255","https://openalex.org/W1978333447"],"abstract_inverted_index":{"In":[0],"BCI":[1],"(brain":[2],"-":[3],"computer":[4],"interface)":[5],"systems,":[6],"brain":[7],"signals":[8],"must":[9],"be":[10],"processed":[11],"to":[12,61,67,89],"identify":[13],"distinct":[14],"activities":[15],"that":[16,51,111],"convey":[17],"different":[18,82],"mental":[19,118],"states.":[20],"We":[21],"propose":[22],"a":[23,47,53,107,113,142],"new":[24],"technique":[25],"for":[26,38,116,123,151],"the":[27,64,68,73,79,90,93,96,103,117,124],"classification":[28],"of":[29,81,92,145],"electroencephalographic":[30],"(EEG)":[31],"steady-state":[32],"visual":[33],"evoked":[34],"potential":[35],"(SSVEP)":[36],"activity":[37],"non-invasive":[39],"BCI.":[40],"The":[41,75,84,99,127,147],"proposed":[42],"method":[43],"is":[44,87,102,149],"based":[45],"on":[46,138],"convolutional":[48],"neural":[49],"network":[50],"includes":[52],"Fourier":[54],"transform":[55],"between":[56],"hidden":[57],"layers":[58],"in":[59,72,95],"order":[60],"switch":[62],"from":[63],"time":[65,143],"domain":[66,70],"frequency":[69,97],"analysis":[71],"network.":[74],"first":[76],"step":[77,86,101],"allows":[78],"creation":[80],"channels.":[83],"second":[85],"dedicated":[88],"transformation":[91],"signal":[94],"domain.":[98],"last":[100],"classification.":[104],"It":[105],"uses":[106,112],"hybrid":[108],"rejection":[109,157],"strategy":[110],"junk":[114],"class":[115],"transition":[119],"states":[120],"and":[121],"thresholds":[122],"confidence":[125],"values.":[126],"presented":[128],"results":[129],"with":[130,135,141,156],"offline":[131],"processing":[132],"are":[133],"obtained":[134],"6":[136],"electrodes":[137],"2":[139],"subjects":[140,153],"segment":[144],"1s.":[146],"system":[148],"reliable":[150],"both":[152],"over":[154],"95%,":[155],"criterion.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}