AIMC Topic: Muscle Fatigue

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EMG Data Augmentation for Grasp Classification Using Generative Adversarial Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Electromyography (EMG) has been used as an interface for the control of robotic hands for decades but with the improvement of embedded electronics and decoding algorithms, many applications are now envisaged by companies. Deep learning has shown the ...

Investigation of Fatigue Using Different EMG Features.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Rehabilitative exercise for people suffering from upper limb impairments has the potential to improve their neuro-plasticity due to repetitive training. Our study investigates the usefulness of Electroencephalogram and Electromyogram (EMG) signals fo...

A novel method for muscle fatigue assessment during robot-based tracking tasks.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
In this work we propose a novel method based on sEMG signals, easy and fast to perform, administered with a robotic device to maximize repeatability and objectivity. Muscle fatigue, which is frequently experienced by healthy subjects, can be a highly...