{"id":"https://openalex.org/W4308821074","doi":"https://doi.org/10.23919/spa53010.2022.9927794","title":"Impact of Sampling Rate and Eye-Condition on Resting Quantitative EEG","display_name":"Impact of Sampling Rate and Eye-Condition on Resting Quantitative EEG","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4308821074","doi":"https://doi.org/10.23919/spa53010.2022.9927794"},"language":"en","primary_location":{"id":"doi:10.23919/spa53010.2022.9927794","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa53010.2022.9927794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5102586669","display_name":"Fernando Soares de Aguiar Neto","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fernando Soares de Aguiar Neto","raw_affiliation_strings":["Instituto de Ci&#x00EA;ncias Matem&#x00E1;ticas e de Computa&#x00E7;&#x00E3;o (ICMC), Universidade de S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Ci&#x00EA;ncias Matem&#x00E1;ticas e de Computa&#x00E7;&#x00E3;o (ICMC), Universidade de S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,SP,Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047073710","display_name":"Jo\u00e3o Lu\u00eds Garcia Rosa","orcid":"https://orcid.org/0000-0002-9491-9434"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joao Luis Garcia Rosa","raw_affiliation_strings":["Instituto de Ci&#x00EA;ncias Matem&#x00E1;ticas e de Computa&#x00E7;&#x00E3;o (ICMC), Universidade de S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,SP,Brazil"],"raw_orcid":"https://orcid.org/0000-0002-9491-9434","affiliations":[{"raw_affiliation_string":"Instituto de Ci&#x00EA;ncias Matem&#x00E1;ticas e de Computa&#x00E7;&#x00E3;o (ICMC), Universidade de S&#x00E3;o Paulo (USP),S&#x00E3;o Carlos,SP,Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102586669"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1245883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9988999962806702,"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":0.9988999962806702,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9987000226974487,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9986000061035156,"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/electroencephalography","display_name":"Electroencephalography","score":0.6632349491119385},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.5787474513053894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785072445869446},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5127740502357483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45633620023727417},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45067858695983887},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4155676066875458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.403950035572052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3095911145210266},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.19830405712127686},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19470760226249695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10877355933189392},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09176123142242432}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6632349491119385},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.5787474513053894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785072445869446},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5127740502357483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45633620023727417},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45067858695983887},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4155676066875458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.403950035572052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3095911145210266},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.19830405712127686},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19470760226249695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10877355933189392},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09176123142242432},{"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:10.23919/spa53010.2022.9927794","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa53010.2022.9927794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G271308623","display_name":null,"funder_award_id":"2020/14115-8","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G6448403963","display_name":null,"funder_award_id":"PROEX-7152184/D","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W642655741","https://openalex.org/W1977465442","https://openalex.org/W1994233698","https://openalex.org/W2118540296","https://openalex.org/W2158464959","https://openalex.org/W2167796542","https://openalex.org/W2170847139","https://openalex.org/W2415401066","https://openalex.org/W2564022846","https://openalex.org/W2601369343","https://openalex.org/W2607129694","https://openalex.org/W2788075142","https://openalex.org/W2887501928","https://openalex.org/W2908954394","https://openalex.org/W2913095566","https://openalex.org/W2964546587","https://openalex.org/W2978362944","https://openalex.org/W3052915452","https://openalex.org/W3091779368","https://openalex.org/W4241756512"],"related_works":["https://openalex.org/W2944091050","https://openalex.org/W2998817056","https://openalex.org/W4221107656","https://openalex.org/W2904258669","https://openalex.org/W2077878098","https://openalex.org/W4313815718","https://openalex.org/W1506744765","https://openalex.org/W996380913","https://openalex.org/W2024084279","https://openalex.org/W4225555917"],"abstract_inverted_index":{"Quantitative":[0],"EEG":[1,16],"has":[2],"been":[3],"explored":[4],"to":[5,84],"evaluate":[6],"brain":[7],"conditions;":[8],"this":[9,24],"is":[10,68,101,129],"an":[11],"increasing":[12],"trend,":[13],"as":[14],"non-invasive":[15],"equipment":[17],"becomes":[18],"more":[19,102],"accessible":[20],"and":[21,34,50,76,104,116,127],"powerful.":[22],"In":[23],"paper,":[25],"we":[26],"discuss":[27],"the":[28,71,79,89,92,109,112,117],"possible":[29],"impacts":[30],"of":[31,62,114],"sampling":[32,98],"rate":[33,99],"eye":[35],"condition":[36],"choices":[37],"in":[38],"three":[39],"commonly":[40],"used":[41],"qEEG":[42,125],"features:":[43],"absolute":[44],"band":[45,119],"power,":[46],"Higuchi's":[47],"fractal":[48],"dimension,":[49],"frontal":[51],"alpha":[52],"asymmetry;":[53],"these":[54],"features":[55],"are":[56],"extracted":[57],"from":[58],"a":[59],"high-quality":[60],"database":[61],"healthy":[63],"subjects.":[64],"The":[65],"setup":[66],"impact":[67,100,106],"measured":[69],"using":[70],"traditional":[72],"frequentist":[73],"statistical":[74],"approach":[75],"Bayesian":[77],"analysis;":[78],"later":[80],"allowing":[81],"for":[82,88,123],"conclusions":[83],"be":[85,121],"made":[86],"either":[87],"alternative":[90],"or":[91],"null":[93],"hypothesis.":[94],"We":[95],"noticed":[96],"that":[97],"uniform,":[103],"task":[105],"depends":[107],"on":[108],"channel;":[110],"moreover,":[111],"definition":[113],"bandpass":[115],"gamma":[118],"may":[120],"critical":[122],"some":[124],"features,":[126],"standardization":[128],"advised.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
