Background Accelerometers are widely used to measure sedentary time, physical activity,
physical activity energy expenditure (PAEE), and sleep-related behaviors, with the …

Aim The increasing rate of all-cause dementia worldwide and the lack of effective
pharmaceutical treatments emphasise the value of lifestyle approaches as prevention …

ABSTRACT TROST, SG, PD LOPRINZI, R. MOORE, and KA PFEIFFER. Comparison of
Accelerometer Cut Points for Predicting Activity Intensity in Youth. Med. Sci. Sports Exerc …

Wearable sensor technology continues to advance and provide significant opportunities for
improving personalized healthcare. In recent years, advances in flexible electronics, smart …

The availability of wearable devices (WDs) to collect biometric information and their use
during activities of daily living is significantly increasing in the general population. These …

A sedentary lifestyle and lack of physical activity are well-established risk factors for chronic
disease and adverse health outcomes. Thus, there is enormous interest in measuring …

Objective Self-reports of physical activity (PA) have been the mainstay of measurement in
most non-communicable disease (NCD) surveillance systems. To these, other measures are …

Purpose To assess performance of existing wear/nonwear time classification algorithms for
accelerometry data collected in the free-living environment using a wrist-worn triaxial …

Objectives The use of Internet in the health domain is becoming a major worldwide trend.
Millions of citizens are searching online health information and also publishing content …

Abstract Objectives To determine the ActiGraph GT3X+ cut-points with the highest accuracy
for estimating time spent in sedentary behaviour in older adults in free-living environments …