{"id":"https://openalex.org/W7140697484","doi":"https://doi.org/10.1109/icrteect67512.2025.11448933","title":"Deep Learning Based Schizophrenia Detection Using EEG Signals","display_name":"Deep Learning Based Schizophrenia Detection Using EEG Signals","publication_year":2025,"publication_date":"2025-10-30","ids":{"openalex":"https://openalex.org/W7140697484","doi":"https://doi.org/10.1109/icrteect67512.2025.11448933"},"language":"en","primary_location":{"id":"doi:10.1109/icrteect67512.2025.11448933","doi":"https://doi.org/10.1109/icrteect67512.2025.11448933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrteect67512.2025.11448933","pdf_url":null,"source":{"id":"https://openalex.org/S7407086745","display_name":"International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5157101663","display_name":"G Usha","orcid":null,"observed_orcids":[]},"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":"G Usha","raw_affiliation_strings":["SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071789338","display_name":"R. Karthiga","orcid":"https://orcid.org/0009-0000-9016-054X","observed_orcids":["https://orcid.org/0009-0000-9016-054X"]},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R Karthiga","raw_affiliation_strings":["SRM Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India,600089"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India,600089","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080046702","display_name":"V. G. Rajendran","orcid":"https://orcid.org/0000-0002-4826-6890","observed_orcids":["https://orcid.org/0000-0002-4826-6890"]},"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 G Rajendran","raw_affiliation_strings":["SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130691137","display_name":"K Sri Ranjani","orcid":null,"observed_orcids":[]},"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 Sri Ranjani","raw_affiliation_strings":["SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130711022","display_name":"S L Varnika","orcid":null,"observed_orcids":[]},"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":"S L Varnika","raw_affiliation_strings":["SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SASTRA Deemed to be University,Department of Electronics and Communication Engineering SRC,Kumbakonam,Tamil Nadu,India,612001","institution_ids":["https://openalex.org/I932239252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9965999722480774,"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":0.9965999722480774,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0019000000320374966,"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"}},{"id":"https://openalex.org/T10023","display_name":"Schizophrenia research and treatment","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/schizophrenia-detection","display_name":"schizophrenia detection","score":0.9620000123977661},{"id":"https://openalex.org/keywords/eeg-signals","display_name":"EEG signals","score":0.8460000157356262},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"continuous wavelet transform","score":0.8849999904632568},{"id":"https://openalex.org/keywords/scalogram-images","display_name":"scalogram images","score":0.8970000147819519},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8690000176429749},{"id":"https://openalex.org/keywords/resnet","display_name":"ResNet","score":0.7419999837875366},{"id":"https://openalex.org/keywords/densenet","display_name":"DenseNet","score":0.9900000095367432},{"id":"https://openalex.org/keywords/efficientnet","display_name":"EfficientNet","score":1.0},{"id":"https://openalex.org/keywords/convnext","display_name":"ConvNeXt","score":0.9990000128746033},{"id":"https://openalex.org/keywords/automated-diagnosis","display_name":"automated diagnosis","score":0.6169999837875366}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6583999991416931},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6581000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6166999936103821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5004000067710876},{"id":"https://openalex.org/C2776412080","wikidata":"https://www.wikidata.org/wiki/Q7431605","display_name":"Schizophrenia (object-oriented programming)","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35589998960494995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C2778542668","wikidata":"https://www.wikidata.org/wiki/Q618076","display_name":"Deep brain stimulation","level":4,"score":0.2854999899864197},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icrteect67512.2025.11448933","doi":"https://doi.org/10.1109/icrteect67512.2025.11448933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icrteect67512.2025.11448933","pdf_url":null,"source":{"id":"https://openalex.org/S7407086745","display_name":"International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W3007994488","https://openalex.org/W3100171194","https://openalex.org/W3193625712","https://openalex.org/W4290716257","https://openalex.org/W4320004442","https://openalex.org/W4360585281","https://openalex.org/W4392026663","https://openalex.org/W4400645685","https://openalex.org/W4401416759","https://openalex.org/W4406657406"],"related_works":["https://openalex.org/W4410854073","https://openalex.org/W6945296167","https://openalex.org/W7204454097","https://openalex.org/W4410609298","https://openalex.org/W4406011832","https://openalex.org/W4405786594","https://openalex.org/W7160080247","https://openalex.org/W7221783674","https://openalex.org/W4404182258","https://openalex.org/W4400728700"],"abstract_inverted_index":{"Schizophrenia":[0],"is":[1,18],"a":[2],"chronic":[3],"neuropsychiatric":[4],"disorder":[5],"that":[6,103,128],"severely":[7],"affects":[8],"cognitive,":[9],"perceptual,":[10],"and":[11,15,31,65,86,121,140],"behavioral":[12],"functions.":[13],"Accurate":[14],"early":[16],"detection":[17],"essential":[19],"for":[20,41,88,145],"effective":[21],"management,":[22],"but":[23],"traditional":[24],"diagnostic":[25],"techniques":[26],"are":[27,52,73],"often":[28],"subjective,":[29],"time-consuming,":[30],"inconsistent.":[32],"This":[33],"study":[34],"presents":[35],"an":[36],"automated":[37,146],"Deep":[38,129],"Learning":[39,130],"approach":[40],"identifying":[42],"schizophrenia":[43,147],"using":[44,75],"electroencephalogram":[45],"(EEG)":[46],"signals.":[47],"Raw":[48],"EEG":[49],"time-series":[50],"data":[51],"converted":[53],"into":[54],"scalogram":[55],"images":[56],"via":[57],"Continuous":[58],"Wavelet":[59],"Transform":[60],"(CWT),":[61],"capturing":[62],"both":[63],"temporal":[64],"frequency":[66],"features":[67],"of":[68,92,110],"brain":[69],"activity.":[70],"These":[71],"scalograms":[72,139],"analyzed":[74],"advanced":[76],"Convolutional":[77],"Neural":[78],"Network":[79],"(CNN)":[80],"architectures,":[81],"including":[82],"ResNet,":[83],"DenseNet,":[84],"EfficientNet,":[85],"ConvNeXt,":[87],"the":[89,106],"binary":[90],"classification":[91,108],"individuals":[93],"as":[94,142],"healthy":[95],"or":[96],"affected":[97],"by":[98,114],"schizophrenia.":[99],"Experimental":[100],"results":[101],"indicate":[102],"ResNet":[104],"achieved":[105],"highest":[107],"accuracy":[109],"95.04":[111],"percent,":[112],"followed":[113],"DenseNet":[115],"(93.31":[116],"percent),":[117,120],"EfficientNet":[118],"(93.06":[119],"ConvNeXt":[122],"(90.71":[123],"percent).":[124],"The":[125],"findings":[126],"demonstrate":[127],"models":[131],"can":[132],"effectively":[133],"learn":[134],"complex":[135],"representations":[136],"from":[137],"EEG-derived":[138],"serve":[141],"reliable":[143],"tools":[144],"detection.":[148]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-03-27T00:00:00"}
