{"id":"https://openalex.org/W7151400207","doi":"https://doi.org/10.1109/icmla66185.2025.00167","title":"A Data-Driven Approach for Sleep Stage Detection Using Machine Learning and Feature Selection Algorithms","display_name":"A Data-Driven Approach for Sleep Stage Detection Using Machine Learning and Feature Selection Algorithms","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7151400207","doi":"https://doi.org/10.1109/icmla66185.2025.00167"},"language":null,"primary_location":{"id":"doi:10.1109/icmla66185.2025.00167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","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/A5089598544","display_name":"Md Nahid Hasan","orcid":"https://orcid.org/0000-0002-0463-601X"},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Nahid Hasan","raw_affiliation_strings":["Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA"],"affiliations":[{"raw_affiliation_string":"Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA","institution_ids":["https://openalex.org/I169615421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133112981","display_name":"Md Sultan Mahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Sultan Mahmud","raw_affiliation_strings":["University of Tennessee Health Science Center,College of Medicine,Memphis,TN,USA"],"affiliations":[{"raw_affiliation_string":"University of Tennessee Health Science Center,College of Medicine,Memphis,TN,USA","institution_ids":["https://openalex.org/I160606119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056355108","display_name":"C. Jones","orcid":null},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clifford Jones","raw_affiliation_strings":["Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA"],"affiliations":[{"raw_affiliation_string":"Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA","institution_ids":["https://openalex.org/I169615421"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133146286","display_name":"Saroj Baral","orcid":null},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saroj Baral","raw_affiliation_strings":["Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA"],"affiliations":[{"raw_affiliation_string":"Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA","institution_ids":["https://openalex.org/I169615421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115716754","display_name":"Khem Narayan Poudel","orcid":null},"institutions":[{"id":"https://openalex.org/I169615421","display_name":"Middle Tennessee State University","ror":"https://ror.org/02n1hzn07","country_code":"US","type":"education","lineage":["https://openalex.org/I169615421"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khem Poudel","raw_affiliation_strings":["Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA"],"affiliations":[{"raw_affiliation_string":"Middle Tennessee State University,Computational and Data Science,Murfreesboro,TN,USA","institution_ids":["https://openalex.org/I169615421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089598544"],"corresponding_institution_ids":["https://openalex.org/I169615421"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.753361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1086","last_page":"1091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.23579999804496765,"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":0.23579999804496765,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.17679999768733978,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10234","display_name":"Obstructive Sleep Apnea Research","score":0.09759999811649323,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/feature-selection","display_name":"Feature selection","score":0.6485000252723694},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4691999852657318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4124000072479248},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.388700008392334},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.34529998898506165},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.314300000667572}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6593000292778015},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6485000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480000019073486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5074999928474426},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.266400009393692}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmla66185.2025.00167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmla66185.2025.00167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Machine Learning and Applications (ICMLA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1966716734","https://openalex.org/W2166624857","https://openalex.org/W2562162676","https://openalex.org/W2805075551","https://openalex.org/W2963919481","https://openalex.org/W3103611112","https://openalex.org/W3108177307","https://openalex.org/W4243138158","https://openalex.org/W4319458720","https://openalex.org/W4387742528","https://openalex.org/W4390394240","https://openalex.org/W4400337538","https://openalex.org/W4406668228"],"related_works":[],"abstract_inverted_index":{"In":[0,87],"the":[1,63,129,137,142,158],"United":[2],"States,":[3],"more":[4],"than":[5],"50":[6],"million":[7],"individuals":[8],"are":[9,53],"affected":[10],"by":[11],"sleep":[12,17,32,38,42,84,99,150],"disorders.":[13],"Accurate":[14,29],"detection":[15],"of":[16,31,66,128,146,181],"stages":[18,33,100,151],"is":[19,34],"crucial":[20],"for":[21,36,83,97],"both":[22,164],"personal":[23],"health":[24],"monitoring":[25],"and":[26,40,57,69,80,92,109,124,160,183,187],"social":[27],"well-being.":[28],"identification":[30],"essential":[35],"diagnosing":[37],"disorders":[39],"understanding":[41],"architecture.":[43],"Traditional":[44],"approaches":[45],"based":[46],"on":[47,126],"polysomnography":[48],"(PSG),":[49],"while":[50],"clinically":[51],"reliable,":[52],"often":[54],"costly,":[55],"intrusive,":[56],"limited":[58],"to":[59],"laboratory":[60],"settings.":[61],"With":[62],"increasing":[64],"availability":[65],"wearable":[67],"sensors":[68],"advances":[70],"in":[71,148],"data-driven":[72],"methods,":[73],"machine":[74],"learning":[75],"(ML)":[76],"offers":[77],"a":[78],"scalable":[79],"automated":[81],"alternative":[82],"stage":[85],"classification.":[86],"this":[88],"study,":[89],"we":[90,114],"develop":[91],"evaluate":[93],"an":[94,179],"ML":[95],"framework":[96],"identifying":[98],"using":[101,152,157,185],"physiological":[102],"signals":[103],"such":[104],"as":[105],"photoplethysmography":[106],"(PPG),":[107],"PSG,":[108],"PPG-PSG":[110,138],"feature":[111,139],"fusion.":[112],"Particularly,":[113],"utilized":[115],"nine":[116],"statistical":[117],"features":[118],"with":[119,176,178],"classical":[120],"ML,":[121],"stability":[122,130],"selection,":[123],"PCA":[125],"top":[127],"selection":[131],"algorithm.":[132],"Our":[133,154],"analysis":[134],"demonstrates":[135],"that":[136,163],"fusion":[140],"achieved":[141],"highest":[143],"classification":[144,172],"accuracy":[145,180],"97%":[147],"detecting":[149],"LightGBM.":[153],"separate":[155],"analyses":[156],"PPG":[159,188],"PSG":[161,186],"showed":[162],"modalities":[165],"yielded":[166],"nearly":[167],"identical":[168],"performance.":[169],"The":[170],"best":[171],"performance":[173],"was":[174],"obtained":[175],"LightGBM,":[177],"93.19%":[182],"90.61%":[184],"features,":[189],"respectively.":[190]},"counts_by_year":[],"updated_date":"2026-04-09T06:08:40.794217","created_date":"2026-04-08T00:00:00"}