{"id":"https://openalex.org/W4402897087","doi":"https://doi.org/10.1109/icsipa62061.2024.10686688","title":"An Optimized CNN-LSTM Model for Detecting Cardiac Arrhythmias","display_name":"An Optimized CNN-LSTM Model for Detecting Cardiac Arrhythmias","publication_year":2024,"publication_date":"2024-09-03","ids":{"openalex":"https://openalex.org/W4402897087","doi":"https://doi.org/10.1109/icsipa62061.2024.10686688"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa62061.2024.10686688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa62061.2024.10686688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5057404746","display_name":"Shahab Ul Hassan","orcid":"https://orcid.org/0000-0003-0995-4866"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Shahab Ul Hassan","raw_affiliation_strings":["Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026473778","display_name":"Said Jadid Abdulkadir","orcid":"https://orcid.org/0000-0003-0038-3702"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Said Jadid Abdulkadir","raw_affiliation_strings":["Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112486751","display_name":"Mohd Zahid","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Soper Mohd Zahid","raw_affiliation_strings":["Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080582343","display_name":"Abdul Muiz Fayyaz","orcid":"https://orcid.org/0000-0003-0388-3454"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abdul Muiz Fayyaz","raw_affiliation_strings":["Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092088366","display_name":"Safwan Mahmood Al-Selwi","orcid":"https://orcid.org/0009-0000-2742-213X"},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Safwan Mahmood Al-Selwi","raw_affiliation_strings":["Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092479709","display_name":"Ebrahim Hamid Sumiea","orcid":null},"institutions":[{"id":"https://openalex.org/I203899302","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07","country_code":"MY","type":"education","lineage":["https://openalex.org/I203899302"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ebrahim Hamid Sumiea","raw_affiliation_strings":["Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cent. for Intelligent Signal&Imaging Research, Universiti Teknologi PETRONAS,Dept. of Computer & Information Sciences,Malaysia","institution_ids":["https://openalex.org/I203899302"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057404746"],"corresponding_institution_ids":["https://openalex.org/I203899302"],"apc_list":null,"apc_paid":null,"fwci":1.1491,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81574461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.4120999872684479,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.4120999872684479,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6733319759368896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5207191109657288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6733319759368896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5207191109657288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsipa62061.2024.10686688","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa62061.2024.10686688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 8th International Conference on Signal and Image Processing Applications (ICSIPA)","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":25,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2095409369","https://openalex.org/W2605056515","https://openalex.org/W2620656322","https://openalex.org/W2745699887","https://openalex.org/W2780360157","https://openalex.org/W2781924583","https://openalex.org/W2799460054","https://openalex.org/W2806806521","https://openalex.org/W2886982273","https://openalex.org/W2889838428","https://openalex.org/W2939574265","https://openalex.org/W2944062336","https://openalex.org/W2994720754","https://openalex.org/W2999945891","https://openalex.org/W3007969083","https://openalex.org/W3036776350","https://openalex.org/W3100122081","https://openalex.org/W3120627055","https://openalex.org/W4282923918","https://openalex.org/W4310043238","https://openalex.org/W4321106172","https://openalex.org/W4380894691","https://openalex.org/W4398174014","https://openalex.org/W7009644958"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Cardiac":[0],"arrhythmia":[1,47,81,129,175],"is":[2,85,142,156],"one":[3],"of":[4,13,19,27,44,88,93,110,146],"the":[5,20,24,30,71,91,100,108,133,154,159,163,173,182],"most":[6],"critical":[7],"cardiovascular":[8],"diseases":[9],"that":[10],"cause":[11],"millions":[12],"fatalities":[14],"every":[15],"year.":[16],"Early":[17],"detection":[18],"disease":[21],"by":[22,131,136],"analyzing":[23,90,132],"electrocardiogram":[25],"signals":[26],"patients":[28],"has":[29],"potential":[31],"to":[32,74,98,157,167],"save":[33],"many":[34],"lives.":[35],"Deep":[36],"learning":[37,170],"prediction":[38],"models":[39,65,126,171,186],"have":[40,66],"gained":[41],"a":[42,86],"lot":[43],"attention":[45],"for":[46,103,127,162,172,181],"prediction.":[48,82],"Among":[49],"them,":[50],"convolutional":[51],"neural":[52],"network":[53],"(CNN)":[54],"and":[55,78,95,114,122,151,184,189,196,200,203,205],"long":[56],"short-term":[57],"memory":[58],"(LSTM)":[59],"techniques":[60,97],"are":[61],"widely":[62],"used.":[63],"These":[64],"been":[67],"recently":[68],"combined":[69],"into":[70],"CNN-LSTM":[72,96,124],"model":[73],"achieve":[75],"high":[76],"accuracy":[77],"efficiency":[79],"in":[80,144],"However,":[83],"there":[84],"lack":[87],"studies":[89],"performance":[92,135],"CNN":[94,120],"find":[99,158],"optimal":[101],"values":[102,161],"key":[104,139,164],"parameters":[105,165],"such":[106],"as":[107],"number":[109],"filters,":[111],"kernel":[112],"size,":[113],"layers.":[115],"This":[116],"article":[117],"determines":[118],"optimized":[119,123],"(OCNN)":[121],"(OCNN-LSTM)":[125],"MIT-BIH":[128,174],"datasets":[130],"models'":[134],"varying":[137],"several":[138],"parameters.":[140],"Performance":[141],"measured":[143],"terms":[145],"accuracy,":[147,194],"AUC,":[148,191],"recall,":[149,198],"precision,":[150,202],"specificity.":[152],"Hence,":[153],"aim":[155],"optimum":[160],"required":[166],"develop":[168],"deep":[169],"dataset.":[176],"The":[177],"finest":[178],"outcomes":[179],"attained":[180],"OCNN":[183],"OCNN-LSTM":[185],"were":[187],"99.9%":[188],"98.1%":[190],"99.0%,":[192],"96.1%":[193],"98.5%":[195],"93.3%":[197],"98.1%,":[199],"93.5%":[201],"99.2%":[204],"97.2%":[206],"specificity,":[207],"respectively.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-13T08:25:38.343686","created_date":"2025-10-10T00:00:00"}