{"id":"https://openalex.org/W2014449215","doi":"https://doi.org/10.1109/ssd.2014.6808848","title":"Identification of Visual Evoked Potentials in EEG detection by emprical mode decomposition","display_name":"Identification of Visual Evoked Potentials in EEG detection by emprical mode decomposition","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2014449215","doi":"https://doi.org/10.1109/ssd.2014.6808848","mag":"2014449215"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2014.6808848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2014.6808848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Multi-Conference on Systems, Signals &amp; Devices (SSD14)","raw_type":"proceedings-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/A5000732698","display_name":"P. Vergallo","orcid":null},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"P. Vergallo","raw_affiliation_strings":["Dip. d'Ingegneria dell'Innovazione, University of Salento, Leece, Italy","Dip. d'Ing. dell'Innovazione, Univ. of Salento, Lecce, Italy"],"affiliations":[{"raw_affiliation_string":"Dip. d'Ingegneria dell'Innovazione, University of Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"Dip. d'Ing. dell'Innovazione, Univ. of Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021330369","display_name":"A. Lay-Ekuakille","orcid":"https://orcid.org/0000-0002-1762-419X"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Lay-Ekuakille","raw_affiliation_strings":["Dip. d'Ingegneria dell'Innovazione, University of Salento, Leece, Italy","Dip. d'Ing. dell'Innovazione, Univ. of Salento, Lecce, Italy"],"affiliations":[{"raw_affiliation_string":"Dip. d'Ingegneria dell'Innovazione, University of Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"Dip. d'Ing. dell'Innovazione, Univ. of Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058826792","display_name":"Nicola Ivan Giannoccaro","orcid":"https://orcid.org/0000-0002-9392-8339"},"institutions":[{"id":"https://openalex.org/I142910587","display_name":"University of Salento","ror":"https://ror.org/03fc1k060","country_code":"IT","type":"education","lineage":["https://openalex.org/I142910587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"N.I. Giannoccaro","raw_affiliation_strings":["Dip. d'Ingegneria dell'Innovazione, University of Salento, Leece, Italy","Dip. d'Ing. dell'Innovazione, Univ. of Salento, Lecce, Italy"],"affiliations":[{"raw_affiliation_string":"Dip. d'Ingegneria dell'Innovazione, University of Salento, Leece, Italy","institution_ids":["https://openalex.org/I142910587"]},{"raw_affiliation_string":"Dip. d'Ing. dell'Innovazione, Univ. of Salento, Lecce, Italy","institution_ids":["https://openalex.org/I142910587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002075087","display_name":"Antonio Trabacca","orcid":"https://orcid.org/0000-0003-3165-0105"},"institutions":[{"id":"https://openalex.org/I4210152066","display_name":"IRCCS Eugenio Medea","ror":"https://ror.org/05ynr3m75","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210152066","https://openalex.org/I4210153126"]},{"id":"https://openalex.org/I59725666","display_name":"University of Reggio Calabria","ror":"https://ror.org/041sz8d87","country_code":"IT","type":"education","lineage":["https://openalex.org/I59725666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Trabacca","raw_affiliation_strings":["Dept. DIMET, Mediterranea University, Reggio Calabria, Italy","IRCCS E. Medea, Sci. Inst. for Res., Brindisi, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. DIMET, Mediterranea University, Reggio Calabria, Italy","institution_ids":["https://openalex.org/I59725666"]},{"raw_affiliation_string":"IRCCS E. Medea, Sci. Inst. for Res., Brindisi, Italy","institution_ids":["https://openalex.org/I4210152066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029194618","display_name":"Domenico Labate","orcid":null},"institutions":[{"id":"https://openalex.org/I59725666","display_name":"University of Reggio Calabria","ror":"https://ror.org/041sz8d87","country_code":"IT","type":"education","lineage":["https://openalex.org/I59725666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Labate","raw_affiliation_strings":["Dept. DIMET, Mediterranea University, Reggio Calabria, Italy","Dept. DIMET, Mediterranea Univ., Reggio Calabria, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. DIMET, Mediterranea University, Reggio Calabria, Italy","institution_ids":["https://openalex.org/I59725666"]},{"raw_affiliation_string":"Dept. DIMET, Mediterranea Univ., Reggio Calabria, Italy","institution_ids":["https://openalex.org/I59725666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068143882","display_name":"Francesco Carlo Morabito","orcid":"https://orcid.org/0000-0003-0734-9136"},"institutions":[{"id":"https://openalex.org/I59725666","display_name":"University of Reggio Calabria","ror":"https://ror.org/041sz8d87","country_code":"IT","type":"education","lineage":["https://openalex.org/I59725666"]},{"id":"https://openalex.org/I4210152066","display_name":"IRCCS Eugenio Medea","ror":"https://ror.org/05ynr3m75","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210152066","https://openalex.org/I4210153126"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F.C. Morabito","raw_affiliation_strings":["IRCCS \u201cE. Medea\u201d, Scientific Institute for Research Hospitalization and Health Care, Brindisi, Italy","Dept. DIMET, Mediterranea Univ., Reggio Calabria, Italy"],"affiliations":[{"raw_affiliation_string":"IRCCS \u201cE. Medea\u201d, Scientific Institute for Research Hospitalization and Health Care, Brindisi, Italy","institution_ids":["https://openalex.org/I4210152066"]},{"raw_affiliation_string":"Dept. DIMET, Mediterranea Univ., Reggio Calabria, Italy","institution_ids":["https://openalex.org/I59725666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028727536","display_name":"Shabana Urooj","orcid":"https://orcid.org/0000-0002-1477-8759"},"institutions":[{"id":"https://openalex.org/I72769676","display_name":"Gautam Buddha University","ror":"https://ror.org/026cfwd52","country_code":"IN","type":"education","lineage":["https://openalex.org/I72769676"]},{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Urooj","raw_affiliation_strings":["Dept of Electrical Eng., SRM University, Lucknow-Deva, U.P., India","Dept. of Electr. Eng., Gautam Buddha Univ., Noida, India"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical Eng., SRM University, Lucknow-Deva, U.P., India","institution_ids":["https://openalex.org/I4210131147"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Gautam Buddha Univ., Noida, India","institution_ids":["https://openalex.org/I72769676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073956678","display_name":"Vikrant Bhateja","orcid":"https://orcid.org/0000-0002-3259-8874"},"institutions":[{"id":"https://openalex.org/I72769676","display_name":"Gautam Buddha University","ror":"https://ror.org/026cfwd52","country_code":"IN","type":"education","lineage":["https://openalex.org/I72769676"]},{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Bhateja","raw_affiliation_strings":["Dept of Electrical Eng., SRM University, Lucknow-Deva, U.P., India","Dept. of Electr. Eng., Gautam Buddha Univ., Noida, India"],"affiliations":[{"raw_affiliation_string":"Dept of Electrical Eng., SRM University, Lucknow-Deva, U.P., India","institution_ids":["https://openalex.org/I4210131147"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Gautam Buddha Univ., Noida, India","institution_ids":["https://openalex.org/I72769676"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5000732698"],"corresponding_institution_ids":["https://openalex.org/I142910587"],"apc_list":null,"apc_paid":null,"fwci":1.2249,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.77235272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"84","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":0.9955999851226807,"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":0.9955999851226807,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/electroencephalography","display_name":"Electroencephalography","score":0.8685587644577026},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8233503103256226},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.6764881610870361},{"id":"https://openalex.org/keywords/visual-evoked-potentials","display_name":"Visual evoked potentials","score":0.5824871063232422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5761158466339111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5588214993476868},{"id":"https://openalex.org/keywords/evoked-potential","display_name":"Evoked potential","score":0.5142778754234314},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5006122589111328},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49930429458618164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48578837513923645},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4786311686038971},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.4726870357990265},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.4371081590652466},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3839785158634186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3231825530529022},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2808842658996582},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.27576011419296265}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8685587644577026},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8233503103256226},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.6764881610870361},{"id":"https://openalex.org/C3018323323","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Visual evoked potentials","level":2,"score":0.5824871063232422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5761158466339111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5588214993476868},{"id":"https://openalex.org/C2778823896","wikidata":"https://www.wikidata.org/wiki/Q618678","display_name":"Evoked potential","level":2,"score":0.5142778754234314},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5006122589111328},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49930429458618164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48578837513923645},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4786311686038971},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.4726870357990265},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.4371081590652466},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3839785158634186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3231825530529022},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2808842658996582},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.27576011419296265},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd.2014.6808848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2014.6808848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Multi-Conference on Systems, Signals &amp; Devices (SSD14)","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":18,"referenced_works":["https://openalex.org/W1506327408","https://openalex.org/W1979512319","https://openalex.org/W1989812483","https://openalex.org/W2007221293","https://openalex.org/W2014598016","https://openalex.org/W2017723185","https://openalex.org/W2060768609","https://openalex.org/W2068814012","https://openalex.org/W2076921028","https://openalex.org/W2115431794","https://openalex.org/W2122428227","https://openalex.org/W2123563890","https://openalex.org/W2171622756","https://openalex.org/W2187595671","https://openalex.org/W3141408015","https://openalex.org/W4248886885","https://openalex.org/W4285719527","https://openalex.org/W6686775985"],"related_works":["https://openalex.org/W3149578378","https://openalex.org/W2111017359","https://openalex.org/W3022635403","https://openalex.org/W316504020","https://openalex.org/W2470582703","https://openalex.org/W2354295199","https://openalex.org/W2998491768","https://openalex.org/W1968036854","https://openalex.org/W2080859999","https://openalex.org/W2404558322"],"abstract_inverted_index":{"Visual":[0],"Evoked":[1],"Potentials":[2],"(VEPs)":[3],"are":[4,33],"referred":[5],"to":[6,10,25,49,68,98,103,123,129,162,168,173],"electrical":[7],"potentials":[8,110],"due":[9],"brief":[11],"visual":[12,21,55,58],"stimuli":[13],"which":[14,106],"can":[15,38],"be":[16,76,160],"recorded":[17],"from":[18,83,146,199],"scalp":[19],"overlying":[20],"cortex.":[22],"A":[23],"way":[24],"measure":[26],"VEPs":[27,32,70,86,164],"is":[28,96,121,186,197,212],"through":[29],"encephalogram":[30],"(EEG).":[31],"very":[34],"important":[35,170],"because":[36,88,205],"they":[37,89],"quantify":[39],"functional":[40],"integrity":[41],"of":[42,111,149,152,182,203],"the":[43,54,61,79,125,147,190,206,210,215],"optic":[44],"pathway.":[45],"Their":[46],"study":[47,148],"allows":[48],"detect":[50,130],"abnormalities":[51],"that":[52,66,157],"affect":[53],"pathways":[56],"or":[57],"cortex":[59],"in":[60,72,165,209],"brain,":[62],"and":[63,128,167,179],"so":[64],"methods":[65],"permit":[67],"identify":[69],"components":[71,87,127,137],"EEG":[73,84,126,150,166],"signals":[74],"must":[75],"defined.":[77],"However,":[78],"background":[80],"activity":[81,175],"measured":[82],"hides":[85],"have":[90],"a":[91,100,134,153,177,200],"low":[92],"voltage.":[93],"So":[94],"it":[95,196],"necessary":[97],"define":[99],"robust":[101],"method":[102,120],"extract":[104],"features,":[105],"best":[107],"describe":[108],"these":[109],"interest.":[112],"In":[113],"this":[114],"work":[115],"Empirical":[116],"Mode":[117,140],"Decomposition":[118],"(EMD)":[119],"used":[122,161,208],"separate":[124],"VEPs.":[131],"EMD":[132],"decomposes":[133],"signal":[135],"into":[136],"named":[138],"Intrinsic":[139],"Functions":[141],"(IFM).":[142],"The":[143],"results,":[144],"obtained":[145],"records":[151],"normal":[154],"person,":[155],"suggest":[156],"IMFs":[158],"may":[159],"determine":[163],"obtain":[169],"information":[171],"related":[172],"brain":[174],"by":[176,214],"time":[178],"frequency":[180],"analysis":[181,211],"IMF":[183],"components.":[184],"It":[185],"well":[187],"comparable":[188],"with":[189],"known":[191],"Wavelet":[192],"Transform":[193],"method,":[194],"but":[195],"characterized":[198],"greater":[201],"simplicity":[202],"implementation":[204],"basis":[207],"generated":[213],"same":[216],"analyzed":[217],"signal.":[218]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
