Agewell Biometrics US, Inc.
MD
Equilibrium is the first cloud-based, automated analytics platform that takes mobile or wearable sensor data, analyzes and reports on fall risk in order to help carers reduce falls in the elderly.
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Clinical Validation
<p>Equilibrium has been validated in a number of unpublished studies. The initial study was conducted on a group of 'normal' subjects at Cambridge University and determined the ability to classify normal from dizzy subjects using a wearable sensor and a smartphone. The study also developed a method to normalize data independent of position of the sensor on the body. The Equilibrium protocol (developed by Joshua Wies, PT) was then further validated in two independent EU-funded trials. These studies comprised 70 community dwelling elderly who were assessed for function, gait, balance and strength using Equilibrium. The conclusion of this study was that Equilibrium is able to classify fallers from non-fallers retrospectively; that the program is feasible to deliver using a smartphone by a non-medical person with minimal training. Pilots have been conducted at a continuing care residence in Baltimore where it was determined that the application was useful in exercise prescription. Finally, a prospective study is currently under way at the Motion Picture Television Fund community in Los Angelos. </p>
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