A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives
A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently
been proposed to address the limitations of conventional single BCI system. Although some …
been proposed to address the limitations of conventional single BCI system. Although some …
Non-invasive control interfaces for intention detection in active movement-assistive devices
Active movement-assistive devices aim to increase the quality of life for patients with
neuromusculoskeletal disorders. This technology requires interaction between the user and …
neuromusculoskeletal disorders. This technology requires interaction between the user and …
Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …
into intended movements of the paralyzed limb. However, the efficacy and mechanisms of …
Noninvasive brain-computer interfaces based on sensorimotor rhythms
Brain-computer interfaces (BCIs) have been explored in the field of neuroengineering to
investigate how the brain can use these systems to control external devices. We review the …
investigate how the brain can use these systems to control external devices. We review the …
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
This work aims at corroborating the importance and efficacy of mutual learning in motor
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …
imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our …
Towards independence: a BCI telepresence robot for people with severe motor disabilities
This paper presents an important step forward towards increasing the independence of
people with severe motor disabilities, by using brain-computer interfaces to harness the …
people with severe motor disabilities, by using brain-computer interfaces to harness the …
Towards noninvasive hybrid brain–computer interfaces: framework, practice, clinical application, and beyond
In their early days, brain-computer interfaces (BCIs) were only considered as control
channel for end users with severe motor impairments such as people in the locked-in state …
channel for end users with severe motor impairments such as people in the locked-in state …
A brain-controlled exoskeleton with cascaded event-related desynchronization classifiers
This paper describes a brain–machine interface for the online control of a powered lower-
limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user's …
limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user's …
Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review
Support vector machines (SVMs) are widely used classifiers for detecting physiological
patterns in human–computer interaction (HCI). Their success is due to their versatility …
patterns in human–computer interaction (HCI). Their success is due to their versatility …
Learning to control a BMI-driven wheelchair for people with severe tetraplegia
Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in
complete paralysis. Despite progress in brain-machine interface (BMI) technology, its …
complete paralysis. Despite progress in brain-machine interface (BMI) technology, its …