The accurate estimation of sleep onset is required for many purposes, including the
administration of a behavioural treatment for insomnia called Intensive Sleep Retraining …

Smartphone applications are considered as the prime candidate for the purposes of large-
scale, low-cost and long-term sleep monitoring. How reliable and scientifically grounded is …

Wearable devices equipped with sensors popularly used for health monitoring are capable
of accumulating motion data providing objective measures of various physical activity and …

Objective: Sleep is fundamental for both health and wellness. The advent of “on a chip” and
“smartphone” technologies have created an explosion of inexpensive, at-home applications …

Sleep disorders are prevalent nowadays, leading to anxiety, depression, high blood
pressure, and other health problems. Due to the proliferation of mobile devices and the …

Introduction This study aims to assess existing sleep apps for mobile phones to determine
the perceived effect of these applications on user's attitudes, knowledge, willingness to …

Background Mobile health (mHealth) apps offer a scalable option for treating sleep
disturbances at a population level. However, there is a lack of clarity about the development …

To date, no smartphone app for monitoring sleep through movement sensors has been
successfully validated against polysomnography, despite the role and validity of actigraphy …

Background The sleep onset process is an ill-defined complex process of transition from
wakefulness to sleep, characterized by progressive modifications at the subjective …

This paper focused on ultradian rhythms (a sleep cycle of approximately 60 to 120 minute)
for personalizing sleep stage estimation, and proposed a personalized sleep stage …