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Source: IEE Transactions on Neural Systems and Rehabilitation Engineering
Education: Learning
Therapy: Physiotherapy
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Rhythmic Extended Kalman Filter for Gait Rehabilitation Motion Estimation and Segmentation
This paper proposes a method to enable the use of non-intrusive, small, wearable, and wireless sensors to estimate the pose of the lower body during gait and other periodic motions and to extract objective performance measures useful for physiotherapy. The Rhythmic Extended Kalman Filter (Rhythmic-EKF) algorithm is developed to estimate the pose, learn an individualized model of periodic movement over time, and use the learned model to improve pose estimation. The proposed approach learns a canonical dynamical system model of the movement during online observation, which is used to accurately model the acceleration during ...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - February 1, 2018 Category: Neuroscience Source Type: research
