Browsing NTNU Open by Author "Grønli, Janne"
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A pilot study of impulse radio ultra wideband radar technology as a new tool for sleep assessment
Pallesen, Ståle; Grønli, Janne; Myhre, Kenneth; Moen, Frode; Bjorvatn, Bjørn; Hanssen, Ingar; Heglum, Hanne Siri Amdahl (Journal article; Peer reviewed, 2018)Study Objectives: To validate Impulse radio ultra wideband pulse-doppler radar technology against polysomnography (PSG) for sleep assessment. Methods: In all, 12 participants were recruited and their overnight sleep was ... -
Evening light environments can be designed to consolidate and increase the duration of REM-sleep
Vethe, Daniel; Drews, Henning Johannes; Scott, Janine Linda; Engstrøm, Morten; Heglum, Hanne Siri Amdahl; Grønli, Janne; Wisor, J.P.; Sand, Trond; Lydersen, Stian; Kjørstad, Kaia; Faaland, Patrick; Vestergaard, Cecilie Lund; Langsrud, Knut; Kallestad, Håvard (Peer reviewed; Journal article, 2022)Evening exposure to short-wavelength light has disruptive effects on circadian rhythms and sleep. These effects can be mitigated by blocking short-wavelength (blue) frequencies, which has led to the development of evening ... -
In the twilight zone: An epidemiological study of sleep-related hallucinations
Bless, Josef Johann; Hugdahl, Kenneth Jan; Kråkvik, Bodil; Vedul-Kjelsås, Einar; Kalhovde, Anne Martha; Grønli, Janne; Larøi, Frank (Peer reviewed; Journal article, 2021)Background Few studies have investigated hallucinations that occur at the onset/offset of sleep (called hypnagogic/hypnopompic hallucinations; HHHs), despite the fact that their prevalence in the general population is ... -
Validation of sleep stage classification using non-contact radar technology and machine learning (Somnofy®)
Toften, Ståle; Pallesen, Ståle; Hrozanova, Maria; Moen, Frode; Grønli, Janne (Peer reviewed; Journal article, 2020)Objective: To validate automatic sleep stage classification using deep neural networks on sleep assessed by radar technology in the commercially available sleep assistant Somnofy® against polysomnography (PSG). Methods: ...