In comparison to wearables, clinical sleep studies monitor aspects such as: There is an emerging interest in wearable devices and apps such as PhiliaHealth, whose algorithms are based in actual physiological studies in a lab, and who report other unique and more actionable data. Many consumer wearable devices and apps use AI that is built purely from subjective data such as questionnaires, which may be biased and affect accuracy. The data collected by devices like the ones mentioned may be more accurate than self-reported data but are likely to be 50 – 60% as accurate as data collected in a formal sleep lab using purpose-built equipment, according to some studies. Other ways to capture sleep data can include nearables (non-wearable trackers that are placed near the bed which measure motion, temperature, respiratory rate and other data), or mobile sleep apps (that detect motion in the night and/or may wake the person at the right time in their sleep cycle). Commonly, these data are combined using artificial intelligence (AI) to provide an overall sleep score that is visible on the device and/or on a related app. These data may be available on a wearable itself, or in an app that syncs wearable data (such as PhiliaHealth). sleep stages and how long you spent in each stage,.wristband, ring etc) can be used to capture physiological data while you are asleep. The data is relatively subjective compared to other methods.Īn ambient device such as a phone or wearable device (e.g. caffeine intake, alcohol intake, medications, use of devices, or any worries or anxiety). any factors that might have influenced your sleep (e.g.a subjective rating of how well you think you slept, and.Manual sleep data could include a sleep diary, where you write down information such as: It can range from information that you manually collect or write down, to data you can collect from a wearable device to data that is collected by experienced practitioners in a sleep lab. Sleep data includes any information collected about sleep. Sleep is regulated by multiple systems in the body including your circadian control as influenced by light and dark exposure. More specifically, sleep quality and quantity are strongly linked to mental health, cognitive function and physical injury. Sleep is becoming recognised as a national health priority because it affects so many areas of life. If you want a good night’s sleep, where do you start? Let’s look at how wearable technology, sleep data and hypnograms can be used to help you make positive changes for a better night’s sleep.
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