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Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls.
Somaskandhan P, Leppänen T, Terrill PI, Sigurdardottir S, Arnardottir ES, Ólafsdóttir KA, Serwatko M, Sigurðardóttir SÞ, Clausen M, Töyräs J, Korkalainen H. Somaskandhan P, et al. Among authors: toyras j. Front Neurol. 2023 Apr 14;14:1162998. doi: 10.3389/fneur.2023.1162998. eCollection 2023. Front Neurol. 2023. PMID: 37122306 Free PMC article.
Self-applied somnography: technical feasibility of electroencephalography and electro-oculography signal characteristics in sleep staging of suspected sleep-disordered adults.
Rusanen M, Korkalainen H, Gretarsdottir H, Siilak T, Olafsdottir KA, Töyräs J, Myllymaa S, Arnardottir ES, Leppänen T, Kainulainen S. Rusanen M, et al. Among authors: toyras j. J Sleep Res. 2024 Apr;33(2):e13977. doi: 10.1111/jsr.13977. Epub 2023 Jul 3. J Sleep Res. 2024. PMID: 37400248
338 results