{"id":"https://openalex.org/W2897042075","doi":"https://doi.org/10.1109/access.2018.2876135","title":"Clinical Decision Support System for Alcoholism Detection Using the Analysis of EEG Signals","display_name":"Clinical Decision Support System for Alcoholism Detection Using the Analysis of EEG Signals","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897042075","doi":"https://doi.org/10.1109/access.2018.2876135","mag":"2897042075"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2876135","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876135","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2876135","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liu Jiajie","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Jiajie","raw_affiliation_strings":["Graduate School, BNU-HKBU United International College, Zhuhai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School, BNU-HKBU United International College, Zhuhai, China","institution_ids":["https://openalex.org/I12615008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017213413","display_name":"K. Narasimhan","orcid":"https://orcid.org/0000-0001-6929-6039"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Narasimhan","raw_affiliation_strings":["School of EEE, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005568139","display_name":"V. Elamaran","orcid":"https://orcid.org/0000-0002-7063-8451"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Elamaran","raw_affiliation_strings":["School of EEE, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065100665","display_name":"N. Arunkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Arunkumar","raw_affiliation_strings":["School of EEE, SASTRA Deemed University, Thanjavur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EEE, SASTRA Deemed University, Thanjavur, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050383403","display_name":"Mario Solarte","orcid":"https://orcid.org/0000-0002-3600-7592"},"institutions":[{"id":"https://openalex.org/I152650591","display_name":"University of Cauca","ror":"https://ror.org/04fybn584","country_code":"CO","type":"education","lineage":["https://openalex.org/I152650591"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Mario Solarte","raw_affiliation_strings":["Telematics Department, University of Cauca, Popayan, Colombia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telematics Department, University of Cauca, Popayan, Colombia","institution_ids":["https://openalex.org/I152650591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037471028","display_name":"Gustavo Ram\u00edrez-Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-1338-8820"},"institutions":[{"id":"https://openalex.org/I152650591","display_name":"University of Cauca","ror":"https://ror.org/04fybn584","country_code":"CO","type":"education","lineage":["https://openalex.org/I152650591"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Gustavo Ramirez-Gonzalez","raw_affiliation_strings":["Telematics Department, University of Cauca, Popayan, Colombia"],"raw_orcid":"https://orcid.org/0000-0002-1338-8820","affiliations":[{"raw_affiliation_string":"Telematics Department, University of Cauca, Popayan, Colombia","institution_ids":["https://openalex.org/I152650591"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3376,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92670308,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"61457","last_page":"61461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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":0.9995999932289124,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.8174111247062683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7618796825408936},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.6381539702415466},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5975255370140076},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5571717619895935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5291669368743896},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5143038034439087},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4968741238117218},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4712945222854614},{"id":"https://openalex.org/keywords/graphical-user-interface","display_name":"Graphical user interface","score":0.46013253927230835},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.44061005115509033},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41840866208076477},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3254140019416809},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32150185108184814},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1232609748840332},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11101576685905457}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8174111247062683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7618796825408936},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.6381539702415466},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5975255370140076},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5571717619895935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5291669368743896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5143038034439087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4968741238117218},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4712945222854614},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.46013253927230835},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.44061005115509033},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41840866208076477},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3254140019416809},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32150185108184814},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1232609748840332},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11101576685905457},{"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2876135","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876135","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d01c5418df3540be9b9da0ef52822d92","is_oa":true,"landing_page_url":"https://doaj.org/article/d01c5418df3540be9b9da0ef52822d92","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 61457-61461 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2876135","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876135","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1610883678","https://openalex.org/W1862394037","https://openalex.org/W1975669925","https://openalex.org/W1994422401","https://openalex.org/W1998302204","https://openalex.org/W2025758384","https://openalex.org/W2027192050","https://openalex.org/W2077204677","https://openalex.org/W2090773675","https://openalex.org/W2093561300","https://openalex.org/W2098149468","https://openalex.org/W2117587191","https://openalex.org/W2125934973","https://openalex.org/W2311536390","https://openalex.org/W2319346915","https://openalex.org/W2339038665","https://openalex.org/W2749157670","https://openalex.org/W2769632268","https://openalex.org/W2773280862","https://openalex.org/W2787552995","https://openalex.org/W2888173383","https://openalex.org/W6636431009"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W4319302618","https://openalex.org/W1616854372","https://openalex.org/W2022287597"],"abstract_inverted_index":{"Alcoholism":[0],"is":[1,16,31,108,114,134,164,169],"an":[2,115],"adverse":[3],"situation":[4],"that":[5,117],"changes":[6,19],"the":[7,20,34,43,47,60,75,81,86,101,119,123,129,137,154,190,201],"functioning":[8],"of":[9,12,23,28,36,46,62,83,88,103,139,148,198,203],"important":[10],"part":[11],"nervous":[13],"system":[14,163,177],"which":[15,39,168],"neuron.":[17],"This":[18,133,161],"functional":[21],"behavior":[22],"alcoholic":[24,96,204],"person.":[25],"The":[26,49],"diagnosis":[27],"this":[29,55,111],"state":[30],"done":[32],"with":[33,42,100,136],"help":[35,93,102,138],"EEG":[37,50,76,125,150,205],"signals":[38,77,92],"gets":[40],"modified":[41],"electrical":[44],"activity":[45],"brain.":[48],"data":[51,126,151],"sets":[52],"used":[53,170],"in":[54,110,185],"paper":[56],"are":[57],"taken":[58],"from":[59,90,122,153],"University":[61],"California":[63],"at":[64],"Irvine,":[65,66],"knowledge":[67],"discovery":[68],"and":[69,85,97,127,145,159,166,180],"databases.":[70],"A":[71],"review":[72],"on":[73],"how":[74],"get":[78],"affected":[79],"by":[80,178],"consumption":[82],"alcohol":[84],"extraction":[87],"features":[89,120],"these":[91],"to":[94,187],"differentiate":[95],"uninfluenced":[98],"people":[99],"graphical":[104],"user":[105],"interface":[106,116],"(GUI)":[107],"presented":[109],"paper.":[112],"GUI":[113,162],"showcases":[118],"extracted":[121],"raw":[124,149],"classifies":[128],"two":[130],"different":[131],"classes.":[132],"achieved":[135],"sample":[140],"entropy,":[141,143],"approximate":[142],"mean,":[144],"standard":[146],"deviation":[147],"collected":[152],"electrodes":[155],"frontal":[156],"polar,":[157],"frontal,":[158],"central.":[160],"economical":[165],"efficient":[167],"as":[171],"a":[172,195],"proper":[173],"clinical":[174],"decision":[175],"support":[176],"clinicians":[179],"also":[181],"helps":[182],"rehabilitation":[183],"centres":[184],"getting":[186],"know":[188],"about":[189],"subject.":[191],"Quadratic":[192],"SVM":[193],"gives":[194],"highest":[196],"accuracy":[197],"95%":[199],"for":[200],"detection":[202],"signal.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
