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Fig. 3 | Journal of NeuroEngineering and Rehabilitation

Fig. 3

From: Adaptive hybrid robotic system for rehabilitation of reaching movement after a brain injury: a usability study

Fig. 3

a Block diagram of the FES-based Feedback Error Learning (FEL) controller. b Artificial Neural Network used as feedforward loop. \( {\mathrm{\O}}_{r,}\kern0.5em {\dot{\mathrm{\O}}}_r,\kern0.5em {\ddot{\mathrm{\O}}}_r \) represent the desired angular position, velocity and acceleration respectively; Ø h is the measured position of the human arm; e(n) is the error position; μ ff μ fb are the control signal generated for the feedback and feedforward controllers respectively; μ t is the total assistance; μ ts is the assistance at the output of the saturator; e u is the difference between μ ts and μ t

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