Feasibility Study of a Consumer Multi-Sensory Wristband to Monitor Sleep Disorder

Abstract

The new generation of consumer wristbands are now able to classify sleep stages based on multiple sensing data. Several studies have validated the accuracy of one of the latest models, that is, Fitbit Charge 2, in measuring polysomnographic(PSG) parameters. Nevertheless, its feasibility in measuring sleep disorder remains unknown. This study aimed to evaluate the potential of Fitbit Charge 2 as a means of monitoring sleep disorders for workers. We recruited participants without mental and medical diseases from 3 sites consisting of department, hospital and research institute. Sleep data were obtained from 3-month night recording at each worker's home in 95 adults (22-64 years; 68 women; over 20 participants from each site). Our results indicate that there are some differences in sleep patterns in different occupations.