Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

During the COVID-19 pandemic, the higher susceptibility of post-stroke patients to infection
calls for extra safety precautions. Despite the imposed restrictions, early neurorehabilitation …

Most studies and reviews on robots for neurorehabilitation focus on their effectiveness.
These studies often report inconsistent results. This and many other reasons limit the credit …

Background: Stroke is one of the leading causes of adult disability, and up to 80% of stroke
survivors undergo upper extremity motor dysfunction. Constraint-Induced Movement …

Acquired motor limits can be provoked by neurological lesions. Independently of the
aetiologies, the lesions require patients to develop new coping strategies and adapt to the …

We propose a novel method for monitoring cognitive engagement in stroke patients during
motor rehabilitation. Active engagement reflects implicit motivation and can enhance motor …

Freedom of movement of the hands is the most desired hope of stroke patients. However,
stroke recovery is a long, long road for many patients. If artificial intelligence can assist …

This research aims to decode hand grasps from Electroencephalograms (EEGs) for
dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications …

Channel selection is an improvement technique to optimize EEG-based BCI performance. In
previous studies, many channel selection methods—mostly based on spatial information of …

We describe here a platform for autonomous hand rehabilitation and telemonitoring of
young patients. A toy embedding the electronics required to sense fingers pressure in …