Year: 2025
Type: article
Study design: Observational Study
Abstract: Circadian rhythms are an integral feature of human cognition and psychopathology but are difficult to measure outside laboratory conditions and over long timescales. Smartphones and other wearables are ubiquitous in daily life and therefore uniquely positioned to measure these rhythms non-invasively and continuously via digital phenotyping. Here, we propose a digital phenotyping framework to quantify circadian rhythms in passive data collected unobtrusively from such devices. First, we use our approach to map the sleep-wake cycle in a clinical, female outpatient sample by predicting sleep duration measured by a dedicated wearable device, the Oura Ring, from smartphone typing dynamics collected through the BiAffect platform. Next, we show that our method captures the desynchronisation between the endogenous circadian rhythm and external clock during international travel by applying it to a year's worth of typing data. Our framework provides a starting point for the analysis of circadian variations in behavioural digital phenotyping data, complementing physiological measurements from wearables.
Source: npj Digital Medicine
Language: English
Topic: Sleep and related disorders
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $4,090
Awards: BRAINTRAJECT: Individualised developmental trajectories in brain connectivity - applications in health and disease, Cyclical Neuroactive Steroid Changes, Arousal, and Proximal Suicide Risk: An Experimental Approach, Integrative imaging of brain structure and function in populations and individuals, G4844633245, Integrating biology and behaviour for precision stratification of mental disorders, Big data for precision neuroscience: new tools for brain connectopics, Unobtrusive Monitoring of Affective Symptoms and Cognition using Keyboard Dynamics, G839280970, G878380630, Sleep as a Mechanism of Premenstrual Exacerbation of Depression and Suicidality
OpenAlex ID: W7117136987