A novel method for classification of BCI multi-class motor imagery task based on Dempster–Shafer theory
S Razi, MRK Mollaei, J Ghasemi - Information Sciences, 2019 - Elsevier
Brain-computer interface (BCI) is a promising technology to help disabled people to interact
with the world only through their brain signals. These systems are designed based on …
with the world only through their brain signals. These systems are designed based on …
FBCSP and adaptive boosting for multiclass motor imagery BCI data classification: a machine learning approach
Classification of non-stationary electroencephalogram (EEG) data are of utmost importance
for brain-computer interface (BCI) technology. This paper proposes a robust multiclass motor …
for brain-computer interface (BCI) technology. This paper proposes a robust multiclass motor …
EEG-based multi-class motor imagery classification using variable sized filter bank and enhanced One Versus One classifier
Motor imagery BCI is a system that is very useful to help people with disabilities who can't
move their limbs. These systems use brain activity patterns that are made from motor …
move their limbs. These systems use brain activity patterns that are made from motor …
Shrinkage estimator based common spatial pattern for multi-class motor imagery classification by hybrid classifier
Motor imagery BCI is a system that is very useful to help people with disabilities who can't
move their limbs. These systems use brain activity patterns that are made from motor …
move their limbs. These systems use brain activity patterns that are made from motor …
Artificial Neural Networks and Their Application in EEG Signal Classification
This research shows the performance of a multilayer perceptron (MLP) neural network in the
classification of electroencephalographic (EEG) signals, for which the Emotiv Insight …
classification of electroencephalographic (EEG) signals, for which the Emotiv Insight …
Effect of meditation on human emotion based on EEG signal
D Datar, RN Khobragade - IOT with Smart Systems: Proceedings of ICTIS …, 2022 - Springer
Mindfulness and wireless communications in various sectors such as education, self-
regulation, manufacturing, marketing, internal security, and also interactive games and …
regulation, manufacturing, marketing, internal security, and also interactive games and …
Prediction of individual propofol requirements based on preoperative EEG signals
The patient must be given an adequate amount of propofol for safe surgery since
overcapacity and low capacity cause accidents. However, the sensitivity of propofol varies …
overcapacity and low capacity cause accidents. However, the sensitivity of propofol varies …
Improving the efficiency of an EEG-based brain computer interface using Filter Bank Common Spatial Pattern
M Mohammadi, MR Mosavi - 2017 IEEE 4th International …, 2017 - ieeexplore.ieee.org
Brain Computer Interface (BCI) systems are popular due to their ability to improve the quality
of life of disabled people. They are proper tools to translate the movement intentions of …
of life of disabled people. They are proper tools to translate the movement intentions of …
An empirical survey of electroencephalography-based brain-computer interfaces
MM Wankhade, SS Chorage - Bio-Algorithms and Med-Systems, 2020 - degruyter.com
Abstract Objectives The Electroencephalogram (EEG) signal is modified using the Motor
Imagery (MI) and it is utilized for patients with high motor impairments. Hence, the direct …
Imagery (MI) and it is utilized for patients with high motor impairments. Hence, the direct …
A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI
Z Xia, L Xia, M Ma - Intelligent Data Engineering and Automated Learning …, 2019 - Springer
Abstract The Common Spatial Pattern (CSP) algorithm is capable of solving the binary
classification problem for the motor image task brain-computer interface (BCI). This paper …
classification problem for the motor image task brain-computer interface (BCI). This paper …