ARMED is a winning combination of wearable technology, predictive analytics and machine learning that enables early intervention to support independent living.
To prevent falls and identify other risks, collecting the right data and analysing it to see patterns are key. To do this, ARMED utilises wearable technology to collect key metrics associated with frailty and risk of falling.
To get a richer picture of an individual's wellbeing, data from wearable devices is complemented with regular weigh-ins using Tanita Body Composition Scales and grip strength tests.
Using sophisticated predictive analytics, the data is analysed giving a wealth of information. Machine learning allows alerts to be raised to identify any risks.
Community trials have identified that warning flags are being raised approximately 32 days in advance of a potential incident, allowing for early intervention and appropriate support. Gradual deterioration can be spotted before it is too late, empowering independent living for longer.