Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …

Goal: To develop and implement a Deep Learning (DL) approach for an
electroencephalogram (EEG) based Motor Imagery (MI) Brain-Computer Interface (BCI) …

There is a wide area of application that uses cerebral activity to restore capabilities for
people with severe motor disabilities, and actually the number of such systems keeps …

This article covers radar signal processing for sensing in the context of assisted living (AL).
This is presented through three example applications: human activity recognition (HAR) for …

Background Excessive reliance on wheelchairs in individuals with tetraplegia or paraplegia
due to spinal cord injury (SCI) leads to many medical co-morbidities, such as cardiovascular …

In this paper, we present a brain–computer interface (BCI) driven motorized ankle–foot
orthosis (BCI-MAFO), intended for stroke rehabilitation, and we demonstrate its efficacy in …

Objective. Conventional decoding pipeline for brain–machine interfaces (BMIs) consists of
chained different stages of feature extraction, time-frequency analysis and statistical learning …

In the last few years, significant progress has been made in the field of walk rehabilitation.
Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics …

Individuals with a locked-in state live with severe whole-body paralysis that limits their ability
to communicate with family and loved ones. Recent advances in brain–computer interface …

Background Many stroke survivors have significant long-term gait impairment, often
involving foot drop. Current physiotherapies provide limited recovery. Orthoses substitute for …