Electromyographic (EMG) signals have gained popularity for controlling prostheses and
exoskeletons, particularly in the field of upper limbs for stroke patients. However, there is a …

This study offers a concise overview of classifying hand movements based on their kinetic
and myoelectric characteristics. In this work, we propose utilizing Electromyography (EMG) …

The introduction of deep learning technology has greatly benefited the neuroscience field by
improving the electroencephalogram (EEG) signal analysis. These technologies have …

In recent years, the development of Brain-Computer Interfaces (BCIs) or Brain-Machine
Intarfaces (BMIs) with Electroencephalography (EEG) has gained recognition in the scientific …

Background: This work presents Com@ Rehab, a technological patient-centred activity for
individuals needing a physical rehabilitation approach and with a specific loss of …

In this world, around 31% of the deaths are commonly caused because of cardiovascular
diseases. Around 80% of sudden deaths occur due to cardiac arrhythmias and heart …