In-Clinic and Natural Gait Observations master protocol (I-CAN-GO) to validate gait using a lumbar accelerometer.

Traditional measurements of gait are typically performed in clinical or laboratory settings where functional assessments are used to collect episodic data, which may not reflect naturalistic gait and activity patterns. The emergence of digital health technologies has enabled reliable and continuous representation of gait and activity in free-living environments. To provide further evidence for naturalistic gait characterization, we designed a master protocol to validate and evaluate the performance of a method for measuring gait derived from a single lumbar-worn accelerometer with respect to reference methods.

Measuring gait parameters from a single chest-worn accelerometer in healthy individuals: a validation study.

Digital health technologies (DHTs) are increasingly being adopted in clinical trials, as they enable objective evaluations of health parameters in free-living environments. Although lumbar accelerometers notably provide reliable gait parameters, embedding accelerometers in chest devices, already used for vital signs monitoring, could capture a more comprehensive picture of participants' wellbeing, while reducing the burden of multiple devices. Here we assess the validity of gait parameters measured from a chest accelerometer.

Examining the effects of increasing then decreasing exercise intensity within a session of aerobic exercise.

Unlabelled: Recent studies have examined the relations between the slope of pleasure experienced during exercise and remembered pleasure, forecasted pleasure, and enjoyment.

Objectives: This study advances this line of research by examining the effects of exposing participants to exercise that increases in intensity and then decreases in intensity.

Methods: In a within-subjects design, participants completed three exercise sessions matched for total and average work.

Monitoring Activity and Gait in Children (MAGIC) using digital health technologies.

Background: Digital health technologies (DHTs) can collect gait and physical activity in adults, but limited studies have validated these in children. This study compared gait and physical activity metrics collected using DHTs to those collected by reference comparators during in-clinic sessions, to collect a normative accelerometry dataset, and to evaluate participants' comfort and their compliance in wearing the DHTs at-home.

Methods: The MAGIC (Monitoring Activity and Gait in Children) study was an analytical validation study which enrolled 40, generally healthy participants aged 3-17 years.