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Dataset Information

Capturing sleep-wake cycles by using day-to-day smartphone touchscreen interactions.


ABSTRACT: Body movements drop with sleep, and this behavioural signature is widely exploited to infer sleep duration. However, a reduction in body movements may also occur in periods of intense cognitive activity, and the ubiquitous use of smartphones may capture these wakeful periods otherwise hidden in the standard measures of sleep. Here, we continuously captured the gross body movements using standard wrist-worn accelerometers to quantify sleep (actigraphy) and logged the timing of the day-to-day touchscreen events ('tappigraphy'). Using these measures, we addressed how the gross body movements overlap with the cognitively engaging digital behaviour (from n = 79 individuals, accumulating ~1400 nights). We find that smartphone use was distributed across a broad spectrum of physical activit

SUBMITTER: Borger JN 

PROVIDER: S-EPMC6662846 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature