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    • Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea 

      Korkalainen, H; Aakko, J; Duce, B; Kainulainen, S; Leino, A; Nikkonen, S; Afara, I O; Myllymaa, S; Töyräs, J; Leppänen, T (Oxford University Press (OUP), 2020)
      Study Objectives Accurate identification of sleep stages is essential in the diagnosis of sleep disorders (e.g. obstructive sleep apnea [OSA]) but relies on labor-intensive electroencephalogram (EEG)-based manual scoring. ...
      Tieteelliset aikakauslehtiartikkelit