In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

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

Abstract Study Objectives Consumer sleep-tracking devices are widely used and becoming
more technologically advanced, creating strong interest from researchers and clinicians for …

In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …

Parkinson's disease (PD) is a multi-attribute neurodegenerative disorder combining motor
and nonmotor symptoms without well-defined diagnostic clinical markers. The presence of …

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 …

Movement-based sleep-wake detection devices (ie, actigraphy devices) were first
developed in the early 1970s and have repeatedly been validated against …

Across the world, healthcare costs are projected to continue to increase, and the pressure
on the healthcare system is only going to grow in intensity as the rate of growth of elderly …

Substantial night-to-night variability in obstructive sleep apnoea (OSA) severity has raised
misdiagnosis and misdirected treatment concerns with the current prevailing single-night …

The number of mobile devices, such as smartphones and smartwatches, is relentlessly
increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and …