{"id":"https://openalex.org/W2138193331","doi":null,"title":"Time Delay Neural Network with Fourier transform for multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces","display_name":"Time Delay Neural Network with Fourier transform for multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces","publication_year":2008,"publication_date":"2008-08-01","ids":{"openalex":"https://openalex.org/W2138193331","mag":"2138193331"},"language":"en","primary_location":{"id":"mag:2138193331","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/eusipco/eusipco2008.html#CecottiG08","pdf_url":null,"source":{"id":"https://openalex.org/S4363607788","display_name":"European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"European Signal Processing Conference","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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","observed_orcids":["https://orcid.org/0000-0002-7661-0070"]},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hubert Cecotti","raw_affiliation_strings":["Institut f\u00fcr Automatisierungstechnik (IAT), University of Bremen, Otto Hahn Allee NW1 28359, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7661-0070","affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Automatisierungstechnik (IAT), University of Bremen, Otto Hahn Allee NW1 28359, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110553308","display_name":"Axel Gr\u00e4ser","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Gr\u00e4ser","raw_affiliation_strings":["Institut f\u00fcr Automatisierungstechnik (IAT), University of Bremen, Otto Hahn Allee NW1 28359, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut f\u00fcr Automatisierungstechnik (IAT), University of Bremen, Otto Hahn Allee NW1 28359, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":4.8818,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.95594525,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":96},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.0,"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/steady-state-visual-evoked-potentials","display_name":"steady-state visual evoked potentials","score":0.9729999899864197},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.8899999856948853},{"id":"https://openalex.org/keywords/time-delay-neural-networks","display_name":"time-delay neural networks","score":0.9520000219345093},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.9860000014305115},{"id":"https://openalex.org/keywords/eeg-classification","display_name":"EEG classification","score":0.7580000162124634},{"id":"https://openalex.org/keywords/frequency-domain-analysis","display_name":"frequency domain analysis","score":0.6320000290870667},{"id":"https://openalex.org/keywords/non-invasive-bci","display_name":"non-invasive BCI","score":0.6539999842643738},{"id":"https://openalex.org/keywords/attention-detection","display_name":"attention detection","score":0.3370000123977661}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8812829256057739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7772709727287292},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6293019652366638},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5816045999526978},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5768041014671326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5451622605323792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424959659576416},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5129299163818359},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.50547194480896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5032333731651306},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4746675491333008},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4617140293121338},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46005600690841675},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24193966388702393},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15314391255378723},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09207317233085632},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0918860137462616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08793127536773682},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07160967588424683},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2138193331","doi":null,"is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/eusipco/eusipco2008.html#CecottiG08","pdf_url":null,"source":{"id":"https://openalex.org/S4363607788","display_name":"European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"European Signal Processing Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1559367882","https://openalex.org/W1799066572","https://openalex.org/W1841495259","https://openalex.org/W2010625877","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/W2149690083","https://openalex.org/W2914484425"],"related_works":["https://openalex.org/W6950475665","https://openalex.org/W2162480886","https://openalex.org/W2910115612","https://openalex.org/W2805953118","https://openalex.org/W4404249874","https://openalex.org/W4214754945","https://openalex.org/W4319794141","https://openalex.org/W4402570542","https://openalex.org/W4210581018","https://openalex.org/W3196677162"],"abstract_inverted_index":{"In":[0,41],"BCI":[1],"(Brain-Computer":[2],"Interface)":[3],"systems,":[4],"brain":[5],"signals":[6,132],"must":[7],"be":[8],"processed":[9],"to":[10,37,75,86,106],"identify":[11],"distinct":[12],"activities":[13],"that":[14,23,34,68],"convey":[15],"different":[16,99],"mental":[17],"states.":[18],"For":[19],"example,":[20],"in":[21,73,82,88,112],"BCIs":[22],"rely":[24],"on":[25,62,125,137,144],"Steady-State":[26],"Visual":[27],"Evoked":[28],"Potentials":[29],"(SSVEP)":[30],"recognize":[31],"EEG":[32],"activity":[33],"reflects":[35],"attention":[36],"a":[38,46,63,70],"particular":[39],"stimulus.":[40],"this":[42],"paper,":[43],"we":[44],"propose":[45],"new":[47],"technique":[48],"for":[49,54,129,163],"the":[50,78,83,89,96,113,120,149,156],"classification":[51],"of":[52,80,98,109],"SSVEP-activity":[53],"non-invasive":[55],"BCI.":[56],"The":[57,92,101,116,122],"proposed":[58],"method":[59,143,159],"is":[60,104,119],"based":[61],"Time":[64],"Delay":[65],"Neural":[66],"Network":[67],"includes":[69],"Fourier":[71],"transform":[72],"order":[74],"switch":[76],"between":[77],"analysis":[79],"layers":[81,87],"time":[84,146],"domain":[85],"frequency":[90,114],"domain.":[91,115],"first":[93],"step":[94,103,118],"allows":[95],"creation":[97],"channels.":[100],"second":[102],"dedicated":[105],"signal":[107],"processing":[108,127],"these":[110],"channels":[111],"last":[117],"classification.":[121],"presented":[123],"results":[124,154],"offline":[126],"correspond":[128],"electroencephalographic":[130],"(EEG)":[131],"obtained":[133],"with":[134,148],"6":[135],"electrodes":[136],"3":[138],"subjects.":[139],"We":[140],"compare":[141],"our":[142],"two":[145],"segments":[147],"average":[150,157],"combination":[151,158],"method.":[152],"These":[153],"outperform":[155],"and":[160],"are":[161],"promising":[162],"online":[164],"processing.":[165]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}
