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This work investigates arm acceleration as a control signal for functional electrical stimulation (FES) of the upper limb during reaching and grasping. We segment the reach and grasp motion into phases and present an artificial neural network (ANN) approach that estimates the phase of the reaching cycle from accelerometer signals. We then select the stimulator command that maximizes successful triggering...
This work investigates arm acceleration as a control signal for functional electrical stimulation (FES) of the upper limb during reaching and grasping. We segment the reach and grasp motion into phases and present an artificial neural network (ANN) approach that estimates the phase of the reaching cycle from accelerometer signals. We then select the stimulator command that maximizes successful triggering...
We developed user-friendly software that generates stimulation profiles by using user-customized model-based control of walking. The model is a multi-segment structure with pin and ball joints. A pair of an agonist and an antagonistic muscles acts at each joint. Each muscle is modeled by a three-compartment multiplicative model. The control is based on optimization that uses a cost function that minimizes...
We developed user-friendly software that generates stimulation profiles by using user-customized model-based control of walking. The model is a multi-segment structure with pin and ball joints. A pair of an agonist and an antagonistic muscles acts at each joint. Each muscle is modeled by a three-compartment multiplicative model. The control is based on optimization that uses a cost function that minimizes...
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