Introduction
Sleep is a key indicator of interest for the growing number of people who track their health using wearable technologies. The recognition that sleep is a crucial component of both physical health (such as weight control, immune function, and blood sugar regulation) [1,2,3] and mental and cognitive brain health (such as learning, memory, concentration, productivity, mood, anxiety, and depression) [4,5] is one reason why sleep is tracked. Wearable technology thus holds the promise of providing a daily feedback tool guiding personal health insights and, consequently, behavioural modification that may prolong healthspan and lifespan. However, the right form-factor becomes essential to maintaining adherence for wearable technologies to become widely used [6,7]. This also applies to the type's utility on the kind and quality of sensory data that these gadgets offer to the user, as well as whether or not such data has any practical application for them [8,9].
Beyond the general public's adoption of sleep trackers, academic researchers and physicians are becoming increasingly interested in learning more about how to use the data collected by consumer devices [6, 10]. Consumer-grade sleep monitors have the potential to be useful instruments for extensive sleep investigations, according to early research [11,12]. Based on this, researchers and medical professionals are attempting to comprehend how accurate these new technologies are in comparison to industry-recognized sleep metrics like polysomnography (PSG). The American Academy of Sleep Medicine (AASM) recently confirmed this viewpoint in its position statement regarding commercial sleep monitors.
Comments
Post a Comment