Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Brain-machine interfaces: from basic science to neuroprostheses and neurorehabilitation
Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …
neurophysiology, computer science, and engineering in an effort to establish real-time …
Depression biomarkers using non-invasive EEG: A review
FS de Aguiar Neto, JLG Rosa - Neuroscience & Biobehavioral Reviews, 2019 - Elsevier
Depression is a serious neurological disorder characterized by strong loss of interest,
possibly leading to suicide. According to the World Health Organization, more than 300 …
possibly leading to suicide. According to the World Health Organization, more than 300 …
Brain–computer interface spellers: A review
A Brain–Computer Interface (BCI) provides a novel non-muscular communication method
via brain signals. A BCI-speller can be considered as one of the first published BCI …
via brain signals. A BCI-speller can be considered as one of the first published BCI …
Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016
A brain–computer interface (BCI) enables a user to communicate with a computer directly
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
Transfer learning: A Riemannian geometry framework with applications to brain–computer interfaces
Objective: This paper tackles the problem of transfer learning in the context of
electroencephalogram (EEG)-based brain-computer interface (BCI) classification. In …
electroencephalogram (EEG)-based brain-computer interface (BCI) classification. In …
A major depressive disorder classification framework based on EEG signals using statistical, spectral, wavelet, functional connectivity, and nonlinear analysis
Background Major depressive disorder (MDD) is a prevalent mental illness that is diagnosed
through questionnaire-based approaches; however, these methods may not lead to an …
through questionnaire-based approaches; however, these methods may not lead to an …
Data augmentation for deep neural networks model in EEG classification task: a review
Classification of electroencephalogram (EEG) is a key approach to measure the rhythmic
oscillations of neural activity, which is one of the core technologies of brain-computer …
oscillations of neural activity, which is one of the core technologies of brain-computer …
Manifold embedded knowledge transfer for brain-computer interfaces
Transfer learning makes use of data or knowledge in one problem to help solve a different,
yet related, problem. It is particularly useful in brain-computer interfaces (BCIs), for co** …
yet related, problem. It is particularly useful in brain-computer interfaces (BCIs), for co** …
Affective brain–computer interfaces (abcis): A tutorial
A brain–computer interface (BCI) enables a user to communicate directly with a computer
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …
using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the …