Browsing Institutt for pedagogikk og livslang læring by Author "Pallesen, Ståle"
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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 ... -
Habitual sleep patterns of junior elite athletes in cross-country skiing and biathlon: a descriptive study
Hrozanova, Maria; Moen, Frode; Myhre, Kenneth; Kløckner, Christian; Pallesen, Ståle (Journal article; Peer reviewed, 2018)Sleep is an essential part of athletes’ recovery process. Evidence of the habitual sleep patterns among junior elite athletes is however limited. Most previous sleep studies on this population have typically spanned short ... -
Sex differences in sleep and influence of the menstrual cycle on women’s sleep in junior endurance athletes
Hrozanova, Maria; Klöckner, Christian A.; Sandbakk, Øyvind; Pallesen, Ståle; Moen, Frode (Journal article; Peer reviewed, 2021)Previous research shows that female athletes sleep better according to objective parameters but report worse subjective sleep quality than male athletes. However, existing sleep studies did not investigate variations in ... -
Unique predictors of sleep quality in junior athletes: The protective function of mental resilience, and the detrimental impact of sex, worry and perceived stress
Hrozanova, Maria; Moen, Frode; Pallesen, Ståle (Journal article; Peer reviewed, 2019)Since athletic development and functioning are heavily dependent on sufficient recuperation, sleep in athletes is becoming a topic of increasing interest. Still, existing scientific evidence points to inadequate sleep in ... -
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: ...