10 years of EPOC: A scoping review of Emotiv's portable EEG device
BACKGROUND Commercially-made low-cost electroencephalography (EEG) devices have
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …
become increasingly available over the last decade. One of these devices, Emotiv EPOC, is …
Multivariate fast iterative filtering based automated system for grasp motor imagery identification using EEG signals
One of the most crucial use of hands in daily life is grasping. Sometimes people with
neuromuscular disorders become incapable of moving their hands. This article proposes a …
neuromuscular disorders become incapable of moving their hands. This article proposes a …
EEG-EMG based bio-robotics elbow orthotics control
FA Ferdiansyah, P Prajitno… - Journal of Physics …, 2020 - iopscience.iop.org
Brain-computer interface (BCI) or also its advancement, hybrid brain-computer interface
(hBCI), is a technology that is vastly developed. This technology has been used in many …
(hBCI), is a technology that is vastly developed. This technology has been used in many …
Classification of EEG signals from motor imagery of hand grasp movement based on neural network approach
MM Ramadhan, SK Wijaya… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Every human movement is controlled by the brain, that can read in the form of EEG signals.
The classification in EEG signals is very difficult, this is because the data is dissimilar. Neural …
The classification in EEG signals is very difficult, this is because the data is dissimilar. Neural …
Recognition of upper-limb movement using electroencephalogram signals with deep learning
MF Wahid, R Tafreshi - 2020 IEEE 5th Middle East and Africa …, 2020 - ieeexplore.ieee.org
The recognition of electroencephalogram (EEG) based motion intention is usually performed
using features that are extracted from different frequency bands including delta, theta, alpha …
using features that are extracted from different frequency bands including delta, theta, alpha …
An evaluation of different fast fourier transform-transfer learning pipelines for the classification of wink-based EEG signals
Abstract Brain Computer-Interfaces (BCI) offers a means of controlling prostheses for
neurological disorder patients, primarily owing to their inability to control such devices due to …
neurological disorder patients, primarily owing to their inability to control such devices due to …
Motor Imagery Classification of EEG for Elbow Movement Using SVM and PNN as Signal Classification
FA Ferdiansyah, P Prajitno… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
A study on classification of motor imagery for right hand elbow movement has been worked
in this research. Motivated by the need to help post-stroke patient regain their motoric …
in this research. Motivated by the need to help post-stroke patient regain their motoric …
[PDF][PDF] The Classification of EEG-based Winking Signals: A Transfer Learning and Random Forest Approach
JLM Kumar, M Rashid, RM Musa, MAM Razman… - 2020 - academia.edu
Brain Computer-Interfaces (BCI) offers a means of controlling prostheses for neurological
disorder patients owing to their inability to control such devices due to their inherent physical …
disorder patients owing to their inability to control such devices due to their inherent physical …