Tensor Decomposition of Gait Dynamics in Parkinson's Disease.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Dec 4, 2017
Abstract
OBJECTIVE: The study of gait in Parkinson's disease is important because it can provide insights into the complex neural system and physiological behaviors of the disease, of which understanding can help improve treatment and lead to effective developments of alternative neural rehabilitation programs. This paper aims to introduce an effective computational method for multichannel or multisensor data analysis of gait dynamics in Parkinson's disease.