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–computer interfaces for patients with disorders of consciousness
The disorders of consciousness refer to clinical conditions that follow a severe head injury.
Patients diagnosed as in a vegetative state lack awareness, while patients diagnosed as in …
Patients diagnosed as in a vegetative state lack awareness, while patients diagnosed as in …
Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces
This work presents a classification performance comparison between different frameworks
for functional connectivity evaluation and complex network feature extraction aiming to …
for functional connectivity evaluation and complex network feature extraction aiming to …
simBCI—a framework for studying BCI methods by simulated EEG
Brain-computer interface (BCI) methods are commonly studied using electroencephalogram
(EEG) data recorded from human experiments. For understanding and developing BCI …
(EEG) data recorded from human experiments. For understanding and developing BCI …
A novel method for concentration evaluation of reading behaviors with electrical activity recorded on the scalp
CS Lin, YC Lai, JC Lin, PY Wu, HC Chang - Computer methods and …, 2014 - Elsevier
In this paper, a concentration evaluation of reading behaviors with electrical signal detection
on the head is presented. The electrode signal is extracted by brain–computer-interface …
on the head is presented. The electrode signal is extracted by brain–computer-interface …
An EEGLAB plugin to analyze individual EEG alpha rhythms using the “channel reactivity-based method”
A Goljahani, P Bisiacchi, G Sparacino - Computer methods and programs …, 2014 - Elsevier
A recent paper [1] proposed a new technique, termed the channel reactivity-based method
(CRB), for characterizing EEG alpha rhythms using individual (IAFs) and channel (CAFs) …
(CRB), for characterizing EEG alpha rhythms using individual (IAFs) and channel (CAFs) …
Brainwave classification without the help of limb movement and any stimulus for character-writing application
Abstract Recently, Brain-Computer Interfaces (BCIs) have been extensively popular for
employing Electroencephalography (EEG) signals to control devices with different …
employing Electroencephalography (EEG) signals to control devices with different …
A brain controlled wheelchair based on common spatial pattern
Y Xie, X Li - 2015 International symposium on bioelectronics …, 2015 - ieeexplore.ieee.org
This paper was proposed for the feature extraction problem in Brain Computer Interface
(BCI) which was based on the motor imagery. Common Spatial Pattern (CSP) was used to …
(BCI) which was based on the motor imagery. Common Spatial Pattern (CSP) was used to …
[PDF][PDF] Reducing Electrodes based on Decision Tree Classification for EEG Motor Movement Data
JD Dubey, D Arora, P Khanna - 2018 - academia.edu
Abstract Analysis of EEG data is one of the most important parts of Brain Computer Interface
systems because EEG data consists of a substantial amount of crucial information that can …
systems because EEG data consists of a substantial amount of crucial information that can …
[PDF][PDF] Scholars Journal of Engineering and Technology (SJET) ISSN 2321-435X (Online)
A Szalowski, D Picovici - saspublishers.com
This article reviews and establishes the current state of research and technology for low-
cost, portable and easy to use Brain Computer Interface (BCI) suitable for non-medical …
cost, portable and easy to use Brain Computer Interface (BCI) suitable for non-medical …