Digital Health Measures
Our professional wearables record data about a person’s movements and environment. Algorithms are then used to infer information about the type, duration and characteristics of physical behaviours that make up daily living.
Detailed and accurate measurements of behavioural events are valuable in themselves, but they can also be combined with other data collection methods to uncover both daily patterns and the longer-term trajectories of lifestyle.
There are a wide range of digital health measures that can be obtained from these behavioural events and the subsequent analysis pipeline. Some raw data measurements, such as ground impact, relate directly to known health outcomes, i.e. bone health. Many others rely on the inferences about behaviour that can be drawn from the raw data (e.g. walking) and some are derived from further inference (e.g. mid-sleep time).