Irene Méndez Guerra

NeuroMotion generates synthetic EMG signals during voluntary movements by integrating musculoskeletal models, neural networks, and motor unit models, enabling analysis of neuromechanical interactions.

This paper introduces an adaptive EMG decomposition algorithm for real-time motor neuron discharge identification during dynamic movements, showing improved performance in simulated and experimental data.

This paper presents a non-invasive wrist wearable interface that decodes spinal motoneuron activity to predict finger movements with high accuracy in real-time.