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Surface electromyography (sEMG) has been widely used to estimate muscle activity. However, satisfying both low variability and rapid responsiveness of muscle activities using standard signal processing techniques such as the moving average (MAV), root mean square (RMS), and low-pass filter continues to present challenges. To address these issues, we propose a new method for EMG amplitude estimation...
Applications of robotics and mechatronics to neurorehabilitation are getting more and more consensus in the clinical community thanks to early encouraging results. They enable an objective assessment of patient's motor recovery and the administration of rehabilitation treatments specific for each patient. In particular, isometric force/torque measurements in post-stroke patients were recently used...
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