A subgroup of patients infected with SARS-CoV-2 remain symptomatic over three months
after infection. A distinctive symptom of patients with long COVID is post-exertional malaise …

Background It remains unclear how inpatient physical activity after major abdominal surgery
affects outcomes. Accelerometer research may provide further evidence for postoperative …

Purpose Machine-learning (ML) approaches have been repeatedly coupled with raw
accelerometry to classify physical activity classes, but the features required to optimize their …

Abstract Background During the 2020 UK COVID-19 lockdown restrictions, children spent
almost all of their time at home, which had a significant influence on their physical activity …

The lack of consensus on meaningful and interpretable physical activity outcomes from
accelerometer data hampers comparison across studies. Cut-point analyses are simple to …

Two accelerometer metrics (intensity-gradient and average-acceleration) can be used to
determine the relative contributions of physical activity (PA) volume and intensity for health …

ActiGraph accelerometers are frequently used to characterize physical activity, but free-living
cross-generational comparability of newer models has not been verified. Participants (N …

Purpose: Lowering the sampling rate of accelerometers in physical activity research can
dramatically increase study monitoring periods through longer battery life; however, the …

Objectives: High-intensity interval training improves aerobic endurance, but the
effectiveness of different training protocols is unclear. This study compared the effects of …

It is important to understand the correlates of children's physical activity (PA) and sitting at
home, where children spend significant time. The home social environment has an important …