Classification of neurodegenerative diseases using gait dynamics via deterministic learning
We present a new method to classify neurodegenerative diseases via deterministic learning theory. The gait system dynamics can be learned by using RBF neural networks. The neurodegenerative diseases can be classified according to the smallest error principle. The discriminability provided by the dynamics of time series features is strong. We show good classification performance on the well-known PhysioBank database.
neurodegenerative diseases gait dynamics deterministic learning gait analysis movement disorders