Brain computer interface based applications for training and rehabilitation of students with neurodevelopmental disorders. A literature review
The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI)
research, as well as on intervention best practices for training and rehabilitation of students …
research, as well as on intervention best practices for training and rehabilitation of students …
A review of user training methods in brain computer interfaces based on mental tasks
Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
external device solely by using brain signals produced through mental tasks. While MT-BCIs …
An online EEG-based brain–computer interface for controlling hand grasp using an adaptive probabilistic neural network
MK Hazrati, A Erfanian - Medical engineering & physics, 2010 - Elsevier
This paper presents a new online single-trial EEG-based brain–computer interface (BCI) for
controlling hand holding and sequence of hand grasping and opening in an interactive …
controlling hand holding and sequence of hand grasping and opening in an interactive …
Gamma band activity associated with BCI performance: simultaneous MEG/EEG study
While brain computer interface (BCI) can be employed with patients and healthy subjects,
there are problems that must be resolved before BCI can be useful to the public. In the most …
there are problems that must be resolved before BCI can be useful to the public. In the most …
On the control of brain-computer interfaces by users with cerebral palsy
Abstract Objective Brain-computer interfaces (BCIs) have been proposed as a potential
assistive device for individuals with cerebral palsy (CP) to assist with their communication …
assistive device for individuals with cerebral palsy (CP) to assist with their communication …
Delta band contribution in cue based single trial classification of real and imaginary wrist movements
A Vuckovic, F Sepulveda - Medical & biological engineering & computing, 2008 - Springer
The aim of this study was to classify different movements about the right wrist. Four different
movements were performed: extension, flexion, pronation and supination. Two-class single …
movements were performed: extension, flexion, pronation and supination. Two-class single …
Changing an application state using neurological data
C Keskin, D Kim, B Chau, J Kim, K Koishida… - US Patent …, 2018 - Google Patents
Computer systems, methods, and storage media for changing the state of an application by
detecting neurological user intent data associated with a particular operation of a particular …
detecting neurological user intent data associated with a particular operation of a particular …
Training with brain-machine interfaces, visuo-tactile feedback and assisted locomotion improves sensorimotor, visceral, and psychological signs in chronic paraplegic …
Spinal cord injury (SCI) induces severe deficiencies in sensory-motor and autonomic
functions and has a significant negative impact on patients' quality of life. There is currently …
functions and has a significant negative impact on patients' quality of life. There is currently …
A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals
Background and objectives: Feature extraction of EEG signals plays a significant role in
Brain-computer interface (BCI) as it can significantly affect the performance and the …
Brain-computer interface (BCI) as it can significantly affect the performance and the …
A learnable continuous wavelet-based multi-branch attentive convolutional neural network for spatio–spectral–temporal EEG signal decoding
Deep learning methods, particularly convolutional neural networks (CNNs), have advanced
the field of motor imagery (MI) by effectively extracting spatio-spectral–temporal (SST) …
the field of motor imagery (MI) by effectively extracting spatio-spectral–temporal (SST) …