A dynamic Bayesian network for estimating the risk of falls from real gait data
G Cuaya, A Munoz-Meléndez, LN Carrera… - Medical & biological …, 2013 - Springer
Pathological and age-related changes may affect an individual's gait, in turn raising the risk
of falls. In elderly, falls are common and may eventuate in severe injuries, long-term
disabilities, and even death. Thus, there is interest in estimating the risk of falls from gait
analysis. Estimation of the risk of falls requires consideration of the longitudinal evolution of
different variables derived from human gait. Bayesian networks are probabilistic models
which graphically express dependencies among variables. Dynamic Bayesian networks …
of falls. In elderly, falls are common and may eventuate in severe injuries, long-term
disabilities, and even death. Thus, there is interest in estimating the risk of falls from gait
analysis. Estimation of the risk of falls requires consideration of the longitudinal evolution of
different variables derived from human gait. Bayesian networks are probabilistic models
which graphically express dependencies among variables. Dynamic Bayesian networks …
A dynamic Bayesian network for estimating the risk of falls from real gait data
GC SIMBRO, AM MELENDEZ, LN Carrera… - 2013 - inaoe.repositorioinstitucional.mx
Pathological and age-related changes may affect an individual's gait, in turn raising the risk
of falls. In elderly, falls are common and may eventuate in severe injuries, long-term
disabilities, and even death. Thus, there is interest in estimating the risk of falls from gait
analysis. Estimation of the risk of falls requires consideration of the longitudinal evolution of
different variables derived from human gait. Bayesian networks are probabilistic models
which graphically express dependencies among variables. Dynamic Bayesian networks …
of falls. In elderly, falls are common and may eventuate in severe injuries, long-term
disabilities, and even death. Thus, there is interest in estimating the risk of falls from gait
analysis. Estimation of the risk of falls requires consideration of the longitudinal evolution of
different variables derived from human gait. Bayesian networks are probabilistic models
which graphically express dependencies among variables. Dynamic Bayesian networks …
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