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Agewell Biometrics US, Inc.

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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Equilibrium has been validated in a number of unpublished studies. &nbsp;The initial study was conducted on a group of &#39;normal&#39; subjects at Cambridge University and determined the ability to classify normal from dizzy subjects using a wearable sensor and a smartphone. &nbsp;The study also developed a method to normalize data independent of position of the sensor on the body. &nbsp;The Equilibrium protocol (developed by Joshua Wies, PT) was then further validated in two independent EU-funded trials. &nbsp;These studies comprised 70 community dwelling elderly who were assessed for function, gait, balance and strength using Equilibrium. &nbsp;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. &nbsp;Pilots have been conducted at a continuing care residence in Baltimore where it was determined that the application was useful in exercise prescription. &nbsp;Finally, a prospective study is currently under way at the Motion Picture Television Fund community in Los Angelos.&nbsp;</p>

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