Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Version 2 2024-06-02, 14:46Version 2 2024-06-02, 14:46
Version 1 2024-04-17, 06:35Version 1 2024-04-17, 06:35
journal contribution
posted on 2024-06-02, 14:46 authored by P Moridian, A Shoeibi, M Khodatars, M Jafari, RB Pachori, A Khadem, Roohallah Alizadehsani, SH LingAutomatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
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Journal
Wiley Interdisciplinary Reviews: Data Mining and Knowledge DiscoveryVolume
12Article number
e1478Pagination
1-43Location
London, Eng.Publisher DOI
ISSN
1942-4787eISSN
1942-4795Language
engPublication classification
C1 Refereed article in a scholarly journalIssue
6Publisher
WileyPublication URL
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Keywords
artificial intelligenceCLASSIFICATIONComputer ScienceComputer Science, Artificial IntelligenceComputer Science, Theory & Methodsdeep learningDEEP NEURAL-NETWORKdiagnosisECGEVENTSFEATURESmachine learningMIXED APNEAPOSITIVE AIRWAY PRESSUREPSGScience & Technologysleep apneaTechnologyTRANSCRANIAL MAGNETIC STIMULATIONTYPE-2 FUZZY-LOGICWAVELET TRANSFORM
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