乐胖代购免代理版

{"id":"https://openalex.org/W2577561666","doi":"https://doi.org/10.1007/s40708-017-0061-y","title":"Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP\u2019s in multichannel EEGs","display_name":"Pattern recognition of spectral entropy features for detection of alcoholic and control visual ERP\u2019s in multichannel EEGs","publication_year":2017,"publication_date":"2017-01-20","ids":{"openalex":"https://openalex.org/W2577561666","doi":"https://doi.org/10.1007/s40708-017-0061-y","mag":"2577561666","pmid":"https://pubmed.ncbi.nlm.nih.gov/28110475","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/5413593"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-017-0061-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0061-y.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4026","issn":["2198-4026","2198-4018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0061-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026984543","display_name":"T. K. Padma Shri","orcid":null},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. K. Padma Shri","raw_affiliation_strings":["Department of Electronics and Communication, Manipal Institute of Technology, Manipal University, Manipal, Karnataka, 576104, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication, Manipal Institute of Technology, Manipal University, Manipal, Karnataka, 576104, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043209594","display_name":"N. Sriraam","orcid":"https://orcid.org/0000-0003-3790-3900"},"institutions":[{"id":"https://openalex.org/I65674248","display_name":"Visvesvaraya Technological University","ror":"https://ror.org/00ha14p11","country_code":"IN","type":"education","lineage":["https://openalex.org/I65674248"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"N. Sriraam","raw_affiliation_strings":["Department of Medical Electronics, M.S. Ramaiah Institute of Technology (An Autonomous Institute, Affiliated to Visvesvaraya Technological University), Bangalore, Karnataka, 560054, India"],"affiliations":[{"raw_affiliation_string":"Department of Medical Electronics, M.S. Ramaiah Institute of Technology (An Autonomous Institute, Affiliated to Visvesvaraya Technological University), Bangalore, Karnataka, 560054, India","institution_ids":["https://openalex.org/I65674248"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043209594"],"corresponding_institution_ids":["https://openalex.org/I65674248"],"apc_list":{"value":790,"currency":"GBP","value_usd":969,"provenance":"doaj"},"apc_paid":{"value":790,"currency":"GBP","value_usd":969,"provenance":"doaj"},"fwci":0.887,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":21,"citation_normalized_percentile":{"value":0.824092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"4","issue":"2","first_page":"147","last_page":"158"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9999,"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":0.9999,"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":0.9991,"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":0.9951,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5487814}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.78813046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.70244354},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.58629894},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.56090903},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.55527157},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5487814},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5145497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4812262},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.44124362},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42110097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37645075},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30064192},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21577534},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11899614},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":4,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-017-0061-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0061-y.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4026","issn":["2198-4026","2198-4018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc5413593","pdf_url":"https://europepmc.org/articles/pmc5413593?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413593","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28110475","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40708-017-0061-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs40708-017-0061-y.pdf","source":{"id":"https://openalex.org/S2498492389","display_name":"Brain Informatics","issn_l":"2198-4026","issn":["2198-4026","2198-4018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.72}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":41,"referenced_works":["https://openalex.org/W1459779847","https://openalex.org/W1566797856","https://openalex.org/W1964168965","https://openalex.org/W1972208397","https://openalex.org/W1977353942","https://openalex.org/W1987147861","https://openalex.org/W1992212806","https://openalex.org/W1998302204","https://openalex.org/W2011682979","https://openalex.org/W2014376669","https://openalex.org/W2015767381","https://openalex.org/W2019693110","https://openalex.org/W2040833815","https://openalex.org/W2045688347","https://openalex.org/W2053213880","https://openalex.org/W2055991983","https://openalex.org/W2076162697","https://openalex.org/W2078617617","https://openalex.org/W2080602827","https://openalex.org/W2084444573","https://openalex.org/W2092445155","https://openalex.org/W2096438982","https://openalex.org/W2099276175","https://openalex.org/W2103722597","https://openalex.org/W2104080006","https://openalex.org/W2109616123","https://openalex.org/W2109983066","https://openalex.org/W2127290177","https://openalex.org/W2129148118","https://openalex.org/W2138310560","https://openalex.org/W2157764720","https://openalex.org/W2164001739","https://openalex.org/W2167356357","https://openalex.org/W2169011354","https://openalex.org/W2169554323","https://openalex.org/W2316616874","https://openalex.org/W2339049815","https://openalex.org/W2401781275","https://openalex.org/W3123579562","https://openalex.org/W4247979313","https://openalex.org/W4293107615"],"related_works":["https://openalex.org/W4380081032","https://openalex.org/W346861917","https://openalex.org/W3205213561","https://openalex.org/W3027745756","https://openalex.org/W3024018414","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W1975632186","https://openalex.org/W1542592062"],"abstract_inverted_index":{"This":[0,225],"paper":[1],"presents":[2],"a":[3,29,39],"novel":[4],"ranking":[5,35,98,131,159,210,264],"method":[6,160,265],"to":[7,121,168,178,208,217,221],"select":[8],"spectral":[9],"entropy":[10],"(SE)":[11],"features":[12,63],"that":[13,43,48,153,227],"discriminate":[14],"alcoholic":[15],"and":[16,57,91,132,201,235,247,282],"control":[17],"visual":[18],"event-related":[19],"potentials":[20],"(ERP'S)":[21],"in":[22,55,254,279],"gamma":[23],"sub-band":[24],"(30\u201355":[25],"Hz)":[26],"derived":[27],"from":[28,166,176,206,215],"64-channel":[30],"electroencephalogram":[31],"(EEG)":[32],"recording.":[33],"The":[34,61,128],"is":[36,118,136,231],"based":[37],"on":[38,134],"t":[40,262],"test":[41,263],"statistic":[42],"rejects":[44],"the":[45,49,102,108,115,122,162,171,185,228,260,269],"null":[46],"hypothesis":[47],"group":[50,74],"means":[51],"of":[52,69,78,104,110,124,130,143,173,183,191,203,271],"SE":[53,62],"values":[54],"alcoholics":[56],"controls":[58],"are":[59,67,83],"identical.":[60],"with":[64,107,139,189,193,256],"high":[65],"ranks":[66],"indicative":[68],"maximal":[70],"separation":[71],"between":[72],"their":[73],"means.":[75],"Various":[76],"sizes":[77],"top":[79,148,273],"ranked":[80,149,274],"feature":[81,141,267,275],"subsets":[82,142],"evaluated":[84],"by":[85,233,245],"applying":[86],"principal":[87,125],"component":[88],"analysis":[89],"(PCA)":[90],"k-nearest":[92],"neighbor":[93],"(k-NN)":[94],"classification.":[95],"Even":[96],"though":[97],"does":[99],"not":[100],"influence":[101],"performance":[103],"classifier":[105,187],"significantly":[106],"selection":[109],"all":[111],"61":[112],"active":[113],"channels,":[114],"classification":[116,135,164,280],"efficiency":[117],"directly":[119],"proportional":[120],"number":[123,172,182,202],"components":[126],"(pc).":[127],"effect":[129],"PCA":[133],"predominantly":[137],"observed":[138],"reduced":[140],"(N":[144],"=":[145,156,199,240,252],"25,":[146,157,241],"15)":[147],"features.":[150,195,258],"Results":[151],"indicate":[152],"for":[154,197,238,250,266],"N":[155,198,239,251],"proposed":[158,261],"improves":[161],"k-NN":[163,186,212],"accuracy":[165,230],"91":[167],"93.87%":[169],"as":[170,219],"pcs":[174,204,270],"increases":[175],"5":[177,207],"25.":[179],"With":[180],"same":[181],"pcs,":[184],"responds":[188],"accuracies":[190,214],"84.42\u201391.54%":[192],"non-ranked":[194,257],"Similarly":[196],"15":[200,253],"varying":[205],"15,":[209],"enhances":[211,244],"detection":[213,229],"88.9":[216],"93.08%":[218],"compared":[220],"86.75\u201391.96%":[222],"without":[223],"ranking.":[224],"shows":[226],"increased":[232],"6.5":[234],"2.8%,":[236],"respectively,":[237,249],"whereas":[242],"it":[243],"2.2":[246],"1%,":[248],"comparison":[255],"In":[259],"selection,":[268],"only":[272],"candidates":[276],"take":[277],"part":[278],"process":[281],"hence":[283],"provide":[284],"better":[285],"generalization.":[286]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2577561666","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-01-07T03:32:27.680065","created_date":"2017-01-26"}