Medical Xpress July 15, 2024
Researchers have used machine learning technologies to develop an algorithm that converts data from a small, lightweight, waterproof wearable sensor taped to the lower back into an accurate estimate of step length. The model is almost four times more accurate than the currently accepted biomechanical model.
The researchers explain, “Step length is a sensitive and non-invasive measure of a wide range of problems associated with aging, cognitive decline, and many neurological diseases, such as Parkinson’s, Alzheimer’s, and multiple sclerosis. Our model enables continuous monitoring of this key aspect of a patient’s condition in daily life.”
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...
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