{"id":"https://openalex.org/W4407130471","doi":"https://doi.org/10.1109/imcom64595.2025.10857540","title":"Epileptic Signal Classification with CNN Models and Explainable AI","display_name":"Epileptic Signal Classification with CNN Models and Explainable AI","publication_year":2025,"publication_date":"2025-01-03","ids":{"openalex":"https://openalex.org/W4407130471","doi":"https://doi.org/10.1109/imcom64595.2025.10857540"},"language":"en","primary_location":{"id":"doi:10.1109/imcom64595.2025.10857540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom64595.2025.10857540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5036812058","display_name":"Prajakta Rathod","orcid":"https://orcid.org/0000-0002-9176-8124"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prajakta Rathod","raw_affiliation_strings":["School of Engineering and Applied Science, Ahmedabad University,Ahmedabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006568135","display_name":"Shefali Naik","orcid":"https://orcid.org/0000-0002-0785-4282"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shefali Naik","raw_affiliation_strings":["School of Engineering and Applied Science, Ahmedabad University,Ahmedabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049885496","display_name":"Jayendra M. Bhalodiya","orcid":"https://orcid.org/0000-0001-6540-6835"},"institutions":[{"id":"https://openalex.org/I52527943","display_name":"Ahmedabad University","ror":"https://ror.org/02swff503","country_code":"IN","type":"education","lineage":["https://openalex.org/I52527943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayendra Bhalodiya","raw_affiliation_strings":["School of Engineering and Applied Science, Ahmedabad University,Ahmedabad,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, Ahmedabad University,Ahmedabad,India","institution_ids":["https://openalex.org/I52527943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4343,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91564752,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9203000068664551,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9203000068664551,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9096999764442444,"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":0.691667377948761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.569658637046814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43797069787979126},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4220767617225647},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3744797110557556}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.691667377948761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.569658637046814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43797069787979126},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4220767617225647},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3744797110557556},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom64595.2025.10857540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom64595.2025.10857540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 19th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1978437325","https://openalex.org/W2053744708","https://openalex.org/W2081377128","https://openalex.org/W2559256361","https://openalex.org/W2617938108","https://openalex.org/W2910917652","https://openalex.org/W2942144085","https://openalex.org/W2962984603","https://openalex.org/W2980255729","https://openalex.org/W2985407284","https://openalex.org/W2995055595","https://openalex.org/W2997628260","https://openalex.org/W3003074332","https://openalex.org/W3028393291","https://openalex.org/W3045153122","https://openalex.org/W3124603174","https://openalex.org/W3150889630","https://openalex.org/W3170569821","https://openalex.org/W4226108798","https://openalex.org/W4282973471","https://openalex.org/W4285347482","https://openalex.org/W4321063483"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Neurological":[0],"disorder":[1],"epilepsy":[2,16],"can":[3,11,226],"cause":[4],"sudden":[5],"seizure":[6,32,212],"onset":[7],"and":[8,69,132,153,231,241],"sometimes":[9],"it":[10,86],"be":[12],"life-threatening.":[13],"In":[14,27],"clinics,":[15],"patients":[17],"are":[18,38,149],"diagnosed":[19],"with":[20,56,194,221],"the":[21,60,67,73,76,95,111,141,156,162,172,180,187,191,195,201,205],"help":[22],"of":[23,62,75,124,143,184],"Electroencephalogram":[24],"(EEG)":[25],"signals.":[26,77,216],"literature,":[28],"methods":[29,58,65],"for":[30,89,136,235],"detecting":[31],"patterns":[33,213],"present":[34],"in":[35,214,229],"EEG":[36,125,215,239],"waveforms":[37],"based":[39],"on":[40],"Convolutional":[41],"Neural":[42],"Networks":[43],"(CNN);":[44],"among":[45],"them":[46],"some":[47],"use":[48],"a":[49,90,99,218],"transfer":[50],"learning":[51],"approach.":[52],"The":[53],"problem":[54],"associated":[55],"these":[57,176],"is":[59],"explanation":[61],"results.":[63,84],"These":[64],"classify":[66],"signals":[68,126],"provide":[70],"predictions":[71],"about":[72],"class":[74],"They":[78],"do":[79],"not":[80],"justify":[81],"their":[82],"generated":[83,174],"Therefore,":[85,113],"becomes":[87],"challenging":[88],"medical":[91],"practitioner":[92],"to":[93,170,210],"understand":[94],"reason":[96],"behind":[97],"classifying":[98],"particular":[100],"signal":[101,109],"as":[102],"an":[103,117,222],"epileptic":[104],"seizure,":[105],"interictal":[106],"or":[107],"non-seizure":[108],"by":[110,175,238],"method.":[112],"this":[114],"study":[115],"presents":[116],"explainable":[118,163,223],"AI-based":[119],"method":[120,135,165,198,203,220],"which":[121,148],"includes":[122],"pre-processing":[123],"into":[127],"spectrogram":[128],"images,":[129],"CNN-based":[130],"classification,":[131],"Shapley":[133,166],"additive":[134,167],"explanation.":[137],"Moreover,":[138,200],"we":[139],"compared":[140],"performance":[142],"four":[144],"different":[145],"CNN":[146],"models":[147],"Resnet18,":[150],"Densenet121,":[151],"VGG16":[152,188],"Squeezenet1_0":[154],"using":[155,232],"Bonn":[157],"University":[158],"dataset.":[159],"We":[160],"used":[161],"AI":[164,197,224,233],"explanations":[168],"(SHAP)":[169],"explain":[171],"results":[173,193],"networks.":[177],"Resnet18":[178],"achieved":[179],"highest":[181],"classification":[182],"accuracy":[183],"99.7%":[185],"while":[186],"network":[189],"produced":[190],"best":[192],"Explainable":[196],"SHAP.":[199],"SHAP":[202],"highlights":[204],"features":[206],"that":[207],"positively":[208],"contribute":[209],"identifying":[211],"Such":[217],"proposed":[219],"approach":[225],"enhance":[227],"transparency":[228],"adapting":[230],"solutions":[234],"clinical":[236],"decision-making":[237],"technologists":[240],"neurologists.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}