Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …

Patient‐generated health data (PGHD), or health‐related data gathered from patients to help
address a health concern, are used increasingly in oncology to make regulatory decisions …

Background Multisensor fitness trackers offer the ability to longitudinally estimate sleep
quality in a home environment with the potential to outperform traditional actigraphy. To …

The rapid emergence of new measurement instruments and methods requires personnel
and researchers of different disciplines to know the correct statistical methods to utilize to …

When children are discharged from the hospital after surgery, their caregivers often rely on
subjective assessments (eg, appetite, fatigue) to monitor postoperative recovery as objective …

Physical activity has been found to alter sleep architecture, but these effects have been
studied predominantly in the laboratory and the generalizability of these findings to …

We evaluated the performance of Fitbit Charge 3™(FC3), a multi-sensor commercial sleep-
tracker, for measuring sleep in adolescents against gold-standard laboratory …

Abstract The Indoor Air Quality (IAQ) of the bedroom environment has recently garnered
attention since air pollution can affect sleep. Previous studies investigated IAQ and sleep …

Actigraphy is widely used in sleep studies but lacks a universal unsupervised algorithm for
sleep/wake identification. An unsupervised algorithm is useful in large-scale population …

Background Wearable technology is a leading fitness trend in the growing commercial
industry and an established method for collecting 24-hour physical behavior data in …