{"id":"https://openalex.org/W4408861309","doi":"https://doi.org/10.1109/icca62237.2024.10927830","title":"Sleep Stages Classification Using ECG Signals and Deep Learning: A Comparative Study","display_name":"Sleep Stages Classification Using ECG Signals and Deep Learning: A Comparative Study","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4408861309","doi":"https://doi.org/10.1109/icca62237.2024.10927830"},"language":"en","primary_location":{"id":"doi:10.1109/icca62237.2024.10927830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10927830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","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":null,"display_name":"Heba Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Heba Ahmed","raw_affiliation_strings":["Helwan University,Biomedical Engineering Department,Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Biomedical Engineering Department,Cairo,Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061751653","display_name":"Nancy M. Salem","orcid":"https://orcid.org/0000-0001-7093-2944"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nancy M. Salem","raw_affiliation_strings":["Helwan University,Biomedical Engineering Department,Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Biomedical Engineering Department,Cairo,Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017120492","display_name":"Ibrahim Sadek","orcid":"https://orcid.org/0000-0001-8932-8229"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ibrahim Sadek","raw_affiliation_strings":["Helwan University,Biomedical Engineering Department,Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Biomedical Engineering Department,Cairo,Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057533676","display_name":"Lamees N. Mahmoud","orcid":"https://orcid.org/0009-0007-1156-1187"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Lamees N. Mahmoud","raw_affiliation_strings":["Helwan University,Biomedical Engineering Department,Cairo,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Biomedical Engineering Department,Cairo,Egypt","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I84058292"],"apc_list":null,"apc_paid":null,"fwci":0.2717,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58751883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883000254631042,"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":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sleep","display_name":"Sleep (system call)","score":0.6252481937408447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195076704025269},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5470800995826721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5281028151512146},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39169812202453613}],"concepts":[{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.6252481937408447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195076704025269},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5470800995826721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5281028151512146},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39169812202453613},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca62237.2024.10927830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca62237.2024.10927830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer and Applications (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1638975642","https://openalex.org/W2148143831","https://openalex.org/W2618530766","https://openalex.org/W2805075551","https://openalex.org/W3067609825","https://openalex.org/W3125699461","https://openalex.org/W4220887558","https://openalex.org/W4379355729","https://openalex.org/W4399224683","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Sleep":[0],"disorders":[1],"hinder":[2],"good":[3],"sleep":[4,16,21,25,48,51,57,109],"quality.":[5],"Therefore,":[6],"a":[7,20,47],"demand":[8],"for":[9,24,77,178],"bedtime":[10],"monitoring":[11],"arose":[12],"to":[13,89,126],"reveal":[14],"those":[15],"disorders.":[17],"Polysomnography":[18,60],"is":[19,73],"study":[22],"used":[23,128],"quality":[26,52],"monitoring,":[27],"which":[28],"highly":[29],"relies":[30],"on":[31,37],"electroencephalogram":[32],"(EEG)":[33],"signals.":[34,105],"It":[35],"depends":[36],"mapping":[38],"every":[39],"30":[40],"seconds":[41],"of":[42,148,157,166],"the":[43,55,64,118,141,145,155,163,171,179],"collected":[44],"bio-signals":[45],"into":[46,111],"stage.":[49],"Poor":[50],"will":[53],"impact":[54],"normal":[56],"stage":[58],"rhythm.":[59],"has":[61,69],"been":[62],"considered":[63],"gold":[65],"standard.":[66],"However,":[67],"it":[68,72,81],"drawbacks":[70],"as":[71],"expensive,":[74],"not":[75],"convenient":[76,102],"all":[78],"patients,":[79],"and":[80,101,159,174,184],"can":[82],"add":[83],"artifacts.":[84],"Thus,":[85],"researchers":[86],"are":[87,98,132],"trying":[88],"figure":[90],"out":[91],"methodologies":[92],"that":[93,97],"utilize":[94],"alternative":[95],"signals":[96,138],"more":[99],"inexpensive":[100],"than":[103],"EEG":[104],"Our":[106],"approach":[107],"classifies":[108],"stages":[110],"three":[112],"classes":[113],"(Wake,":[114],"NREM,":[115],"REM)":[116],"utilizing":[117],"deep":[119],"learning":[120],"capabilities":[121],"represented":[122],"in":[123],"pre-trained":[124],"models":[125,161],"be":[127],"with":[129],"scalograms.":[130],"Scalograms":[131],"generated":[133],"from":[134,140],"17":[135],"electrocardiogram":[136],"(ECG)":[137],"extracted":[139],"polysomnography":[142],"recordings":[143],"within":[144],"Multi-Ethnic":[146],"Study":[147],"Atherosclerosis":[149],"(MESA)":[150],"dataset.":[151],"A":[152],"comparison":[153],"between":[154],"efficiency":[156],"AlexNet":[158,167,180],"VGG16":[160,169],"revealed":[162],"superior":[164],"excel":[165],"over":[168],"using":[170],"same":[172],"data":[173],"hyperparameters.":[175],"The":[176],"accuracy":[177],"trial":[181],"was":[182,186],"87.3%,":[183],"F1-score":[185],"0.87.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}