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Technical Perspective: Making Sleep Tracking More User Friendly


An exciting area of research in mobile and ubiquitous computing is the recent development of novel sensing systems capable of continuously tracking behavioral and physiological signals from individuals in their natural environment. Often referred to as digital biomarkers, these signals capture people's everyday routines, actions, and physiological changes that can explain outcomes related to health, cognitive abilities, and more.

A key behavioral biomarker is sleep, which is essential for human health, learning, cognitive abilities, and brain development. About one-third of adults suffer from some form of sleep disorder. However, current sleep-tracking options are mostly restricted to special sleep clinics or hospitals, where individuals are removed from their natural sleep environment and undergo polysomnography (PSG) that monitors brain activity via electroencephalography (EEG), eye movement via electro-oculography (EOG), and muscle activity using electromyography (EMG).


 

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