Develop new tools & technologies for early detection and monitoring of cognitive and mobility decline using wearable sensors and other bio-markersusing wearable sensors and other bio-markers
We quantify gait and postural control in healthy adults who have an increased risk of developing disease (e.g., Parkinson’s disease, dementia) in order to identify markers that could be used for early detection and prediction.
In the example on the right, gait variability is increased in healthy carriers of the LRRK2 G2019s mutation and further increased in patients, especially in those who have this mutation. These findings suggest that we may be able to identify people who are likely to develop Parkinson’s disease in the future.
Small body worn sensors are worn continuously (e.g., 7 days, 24/7). We develop metrics that evaluate the quantify and the quantity and quality of activity, gait, near falls, fall risk and other indicators of health.
Performance-based test like the Timed Up and Go are widely used to assess balance, gait and fall risk. We “instrument” these traditional tests to extract additional value from the same test, without lengthening test time. For example, with the iTUG, we can quantify about 50 different parameters – instead of just time to completion – enhancing sensitivity and specificity.
We developed a novel computer-controlled obstacle course that enables quantitative examination of how successfully subjects are able to negotiate obstacles and other environmental challenges that have been associated with fall risk.
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