Background Although digital mobility outcomes (DMOs) can be readily calculated from real-
world data collected with wearable devices and ad-hoc algorithms, technical validation is …

Introduction: Accurately assessing people's gait, especially in real-world conditions and in
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …

Wearable devices are used in movement analysis and physical activity research to extract
clinically relevant information about an individual's mobility. Still, heterogeneity in protocols …

Predictors and mitigators of strain injuries have been studied in sprint‐related sports. While
the rate of axial strain, and thus running speed, may determine the site of muscle failure …

Background Unstable gait leading to falls negatively impacts the quality of life in many
people with Parkinson's disease (PD). Systematic review evidence provides moderate to …

Introduction The clinical assessment of mobility, and walking specifically, is still mainly
based on functional tests that lack ecological validity. Thanks to inertial measurement units …

The analysis of the stability of human gait may be effectively performed when estimates of
the base of support are available. The base of support area is defined by the relative …

Compared with visible, infrared rays, and ultrasonic positioning technologies, the signal
acquisition of portable inertial sensors is not affected by the external environment, such as …

Background Measuring mobility in daily life entails dealing with confounding factors arising
from multiple sources, including pathological characteristics, patient specific walking …

Walking activity and gait parameters are considered among the most relevant mobility-
related parameters. Currently, gait assessments have been mainly analyzed in laboratory or …