A Synergy-Based Cooperative Control System for an Upper-Limb Hybrid FES-Robotic Exoskeleton

This study integrates synergy-based Functional Electrical Stimulation (FES) with a robotic exoskeleton for upper limb rehabilitation, aiming to improve muscle recruitment, delay muscle fatigue, and reduce motor energy consumption. Preliminary tests with 3 non-disabled subjects indicate that the hybrid system can reduce energy consumption while preserving a good trajectory tracking. Future studies should evaluate the efficacy of this hybrid approach in enhancing rehabilitation outcomes for neu...

EMG-Based Prediction of Target Location During Upper-Limb Reaching Movements: Impact of Time Window Length and Feature Set on Classification Accuracy

This study explores the accuracy of predicting target locations during upper limb reaching movements using electromyographic (EMG) signals in healthy participants. We investigated the effects of time window lengths, and the type of features extracted from myoelectrical signals to identify the minimum time window required for accurate predictions and the most relevant EMG features for this classification task. A Support Vector Machine (SVM) algorithm was trained to classify four target locatio...

Optimal Extraction of Synergy-Like Structures from HD-EMG Signals of the Forearm

Accurate identification of forearm muscle activity is an open question in the field of assistive and prosthetic technology. Neurorehabilitation therapies could benefit significantly from improved intention detection algorithms. Motor control models and high-density electrodes can be combined to enhance the effectiveness of such algorithms. In this paper, data from a linear, high-density electrode grid was analyzed through muscle synergy analysis, using an optimized criterion to determine the ...

Ḫayrukum man taʿallama al-Qurʾān wa-ʿallamahu: lo studio del Corano e la didattica dell’arabo