{"id":"https://openalex.org/W2915811296","doi":"https://doi.org/10.1109/access.2019.2901672","title":"EEG Pathology Detection Based on Deep Learning","display_name":"EEG Pathology Detection Based on Deep Learning","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2915811296","doi":"https://doi.org/10.1109/access.2019.2901672","mag":"2915811296"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2901672","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901672","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08651516.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08651516.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052648906","display_name":"Musaed Alhussein","orcid":"https://orcid.org/0000-0002-5538-6778"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Musaed Alhussein","raw_affiliation_strings":["Department of Computer Engineering, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-5538-6778","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080711681","display_name":"Ghulam Muhammad","orcid":"https://orcid.org/0000-0002-9781-3969"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ghulam Muhammad","raw_affiliation_strings":["Department of Computer Engineering, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-9781-3969","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037865550","display_name":"M. Shamim Hossain","orcid":"https://orcid.org/0000-0001-5906-9422"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"M. Shamim Hossain","raw_affiliation_strings":["Department of Software Engineering, King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-5906-9422","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28022161"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.8581,"has_fulltext":true,"cited_by_count":91,"citation_normalized_percentile":{"value":0.95459492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"27781","last_page":"27788"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9732999801635742,"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/T12676","display_name":"Machine Learning and ELM","score":0.9613000154495239,"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/computer-science","display_name":"Computer science","score":0.717792809009552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329958200454712},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5143131017684937},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4687509834766388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37743961811065674},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15119072794914246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.717792809009552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329958200454712},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5143131017684937},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4687509834766388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37743961811065674},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15119072794914246},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2901672","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901672","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08651516.pdf","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:60eaa43fe7f947849fd13409ac328639","is_oa":true,"landing_page_url":"https://doaj.org/article/60eaa43fe7f947849fd13409ac328639","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 7, Pp 27781-27788 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2901672","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901672","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08651516.pdf","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":[],"awards":[{"id":"https://openalex.org/G2231254003","display_name":null,"funder_award_id":"RG-1436-016","funder_id":"https://openalex.org/F4320335726","funder_display_name":"Deanship of Scientific Research, King Saud University"}],"funders":[{"id":"https://openalex.org/F4320312387","display_name":"Temple University","ror":"https://ror.org/00kx1jb78"},{"id":"https://openalex.org/F4320335726","display_name":"Deanship of Scientific Research, King Saud University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2915811296.pdf","grobid_xml":"https://content.openalex.org/works/W2915811296.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1503196035","https://openalex.org/W1900636165","https://openalex.org/W2047481787","https://openalex.org/W2085379519","https://openalex.org/W2163605009","https://openalex.org/W2220281005","https://openalex.org/W2292901520","https://openalex.org/W2296608149","https://openalex.org/W2301358467","https://openalex.org/W2324704545","https://openalex.org/W2345279893","https://openalex.org/W2490215499","https://openalex.org/W2497705710","https://openalex.org/W2506429203","https://openalex.org/W2516769407","https://openalex.org/W2550120037","https://openalex.org/W2565183931","https://openalex.org/W2578907517","https://openalex.org/W2580041548","https://openalex.org/W2590096887","https://openalex.org/W2598898897","https://openalex.org/W2622525607","https://openalex.org/W2769507557","https://openalex.org/W2795613961","https://openalex.org/W2797917356","https://openalex.org/W2798746525","https://openalex.org/W2800428573","https://openalex.org/W2883892712","https://openalex.org/W2910379596","https://openalex.org/W2915149867","https://openalex.org/W2918087949","https://openalex.org/W2962951526","https://openalex.org/W2963184575","https://openalex.org/W4294345000","https://openalex.org/W4299297331","https://openalex.org/W6684191040","https://openalex.org/W6723019446"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"With":[0],"the":[1,10,44,49,65,68,75,85,89,129,139,143,161],"advancement":[2],"of":[3,37,51,77,84],"machine":[4],"learning":[5],"technologies,":[6],"particularly":[7],"deep":[8,33,107,144],"learning,":[9],"automated":[11],"systems":[12],"to":[13,91],"assist":[14],"human":[15],"life":[16],"are":[17,72,109],"flourishing.":[18],"In":[19,64],"this":[20],"paper,":[21],"we":[22],"propose":[23],"an":[24],"automatic":[25],"electroencephalogram":[26],"(EEG)":[27],"pathology":[28,61],"detection":[29],"system":[30,141],"based":[31,117],"on":[32,118,128,160],"learning.":[34,113],"Various":[35],"types":[36],"pathologies":[38],"can":[39,54],"affect":[40],"brain":[41,45],"signals.":[42],"Thus,":[43],"signals":[46,53,71,87],"captured":[47],"in":[48,74],"form":[50,76,83],"EEG":[52,70,86,133],"indicate":[55],"whether":[56],"a":[57,78,92,102,106,119],"person":[58],"suffers":[59],"from":[60],"or":[62],"not.":[63],"proposed":[66,140],"system,":[67],"raw":[69],"processed":[73],"spatio-temporal":[79,82],"representation.":[80],"The":[81,125],"is":[88,122,153],"input":[90],"convolutional":[93],"neural":[94],"network":[95],"(CNN).":[96],"Two":[97],"different":[98],"CNN":[99,145],"models,":[100],"namely,":[101],"shallow":[103],"model":[104,146],"and":[105,147],"model,":[108],"investigated":[110],"using":[111],"transfer":[112],"A":[114],"fusion":[115,148],"strategy":[116],"multilayer":[120],"perceptron":[121],"also":[123],"investigated.":[124],"experimental":[126],"results":[127],"Temple":[130],"University":[131],"Hospital":[132],"Abnormal":[134],"Corpus":[135],"v2.0.0":[136],"show":[137],"that":[138],"with":[142],"achieves":[149],"87.96%":[150],"accuracy,":[151],"which":[152],"better":[154],"than":[155],"some":[156],"reported":[157],"accuracy":[158],"rates":[159],"same":[162],"corpus.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
