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Accurate and continuous remote monitoring of - EurekAlert
Researchers at Tel Aviv University and the Ichilov’s Tel Aviv Sourasky Medical Center (Tel Aviv) led a multidisciplinary international study in which an innovative model based on machine learning was developed to accurately estimate step length. The new model can be integrated into a wearable device that is attached (with “skin tape”) to the lower back and enables continuous monitoring of steps in a patient’s everyday life. "Step length is a sensitive measure of a wide range of problems and diseases, from cognitive decline and aging to Parkinson's. The conventional measuring devices that exist today are stationary and cumbersome, and are only found in specialized clinics and laboratories. The model we developed enables accurate measurement in a patient's natural environment throughout the day, using a wearable sensor”, according to the researchers.
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