Publications with Somnofy

This continuously updated list contains published research papers that discuss Somnofy.

  1. Validation of Somnofy against PSG. Somnofy is a novel non-contact bedside sleep assistant that monitors vital signs fully automated during sleep. Somnofy reaches substantial agreement with PSG on staging sleep (κ = .63). Somnofy may thus be considered a valid tool for furthering the sleep field in specific research questions and areas previously impractical to study.
    1. Ståle Toften, Ståle Pallesen, Maria Hrozanova, Frode Moen, Janne Grønli: “Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®)”, available online 6 March 2020, epub ahead of print, Sleep Medicine. DOI: 10.1016/j.sleep.2020.02.022 
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  2. Associating sleep in junior endurance athletes with mental strain and training load utilizing a prospective, observational design. Unobtrusive, objective measurements of sleep with novel radar technology were obtained, and subjective daily reports of mental strain and training load were collected. The role of subjective sleep quality was investigated to identify whether the reciprocal associations between sleep, mental strain, and training load depended on being a good versus poor sleeper.
    1. Hrozanova, Maria & Klöckner, Christian & Sandbakk, Oyvind & Pallesen, Ståle & Moen, Frode (2020). Reciprocal Associations Between Sleep, Mental Strain, and Training Load in Junior Endurance Athletes and the Role of Poor Subjective Sleep Quality. Frontiers in Psychology. 11. 1-14. 10.3389/fpsyg.2020.545581.
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  3. Elite-level chess players exhibit high emotional and cognitive stress loads related to performance development. Sleep is a crucial recovery strategy, previously implicated in athletic performance. The main purpose of the current study was to investigate the associations between performance development and objectively measured sleep in a sample of 14 Norwegian chess players over a period of 120 consecutive days. The sleep patterns of the chess players with positive performance development were different from the players with negative development.
    1. Moen, Frode & Olsen, Maja & Hrozanova, Maria .(2020). Associations Between Sleep Patterns and Performance Development Among Norwegian Chess Players. Frontiers in Psychology. 11. 1855. 10.3389/fpsyg.2020.01855.
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