The lower extremity exoskeleton, which can sense the neural motion state of the human
body and then provide motion assistance, is gradually replacing the traditional wheelchairs …

Motor imagery is increasingly being used in clinical settings, such as in neurorehabilitation
and brain computer interface (BCI). In stroke, patients lose upper limb function and must re …

Motor imagery (MI) is widely employed in stroke rehabilitation due to the event-related
desynchronization (ERD) phenomenon in sensorimotor cortex induced by MI is similar to …

Motor imagery (MI) becomes a powerful rehabilitation tool, particularly when combined with
brain–computer interfaces (BCI). Therefore, methods to improve MI accuracy are a trending …

This Perspective offers a concise overview of the current, state-of-the-art, neural sensors for
brain-machine interfaces, with particular attention towards brain-controlled robotics. We first …

Objective The objective of this study was to analyze the changes in connectivity between
motor imagery (MI) and motor execution (ME) in the premotor area (PMA) and primary motor …

Advancements in neuroscience and artificial intelligence are propelling rapid progress in
brain–computer interfaces (BCIs). These developments hold significant potential for …

Traditional post-stroke rehabilitation primarily targeted the affected side of the body.
However, recent approaches emphasized the advantages of incorporating bimanual training …

EEG involves recording electrical activity generated by the brain through electrodes placed
on the scalp. Imagined speech classification has emerged as an essential area of research …

Cette thèse doctorale éprouve la question de recherche suivante:«Quelles places pour la
coordination motrice dans l'évolution de la lecture chez les enfants dyslexiques en école …