[HTML][HTML] A review of electroencephalogram signal processing methods for brain-controlled robots

Z Huang, M Wang - Cognitive Robotics, 2021 - Elsevier
Brain-computer interface (BCI) based on electroencephalogram (EEG) signals can provide a
way for human to communicate with the outside world. This approach is independent of the …

Motor imagery EEG signal classification using image processing technique over GoogLeNet deep learning algorithm for controlling the robot manipulator

A Ak, V Topuz, I Midi - Biomedical Signal Processing and Control, 2022 - Elsevier
Controlling of a robotic arm using a brain-computer interface (BCI) is one of the most
impressive applications. In this study, a novel method for the classification of motor imaging …

The quantitative application of channel importance in movement intention decoding

L Wang, M Li - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
The complex brain network consists of multiple collaborative regions, which can be activated
to varying degrees by motor imagery (MI) and the induced electroencephalogram (EEG) …

Review Dry and Non-contact EEG Electrodes for 2010-2021 years

I Rakhmatulin, Y Gan - Available at SSRN 3811052, 2021 - papers.ssrn.com
The basis of the work of electroencephalography (EEG) is the registration of electrical
impulses from the brain or some of its individual areas using a special sensor/electrode. This …

Noninvasive brain–computer interfaces using fNIRS, EEG, and hybrid EEG-fNIRS

H Nazeer, N Naseer, MJ Khan, KS Hong - Brain-Computer Interfaces, 2025 - Elsevier
A brain–computer interface (BCI) is an advanced communication system that integrates both
hardware and software components. Its main objective is to facilitate user interaction with the …

EEG-based BMI using multi-class motor imagery for bionic arm

AC Subrata, MA Riyadi… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
One of the rehabilitation methods developed to help people with physical disabilities,
especially patients with disabilities of the upper-limb arm, to do Activities of Daily Living …

EEG verileri kullanılarak fiziksel el hareketleri ve bu hareketlerin hayalinin yapay sinir ağları ile sınıflandırılması

M Tosun, M Erginli, Ö Kasım, B Uğraş… - … of Computer and …, 2018 - saucis.sakarya.edu.tr
Son yıllarda teknolojinin gelişmesi sonucunda beyin bilgisayar arayüzü ile ilgili çalışmalar
artmıştır. Beyin Bilgisayar Arayüzü (Brain Computer Interface-BCI) yöntemlerinde …

An EEG-based BCI system to facial action recognition

JS Lin, ZY Jiang - Wireless Personal Communications, 2017 - Springer
Brain–computer interface (BCI) has created a new era in neuroscience. It has improved the
life quality of severely disabled patients. It allows them to regain the power of executing will …

Motor imagery classification using TSK fuzzy inference neural networks

R Donovan, XH Yu - 2018 international joint conference on …, 2018 - ieeexplore.ieee.org
Electroencephalography (EEG) signals are often employed in modern BCI (brain-computer
interface) systems. For patients with irreversible nerve injury, motor imagery BCIs enable …

Classification of EEG signals recorded during imagery of hand grasp movement

OK ATEŞ, Ö AYDEMİR - 2020 Medical Technologies Congress …, 2020 - ieeexplore.ieee.org
Brain-computer interfaces (BCI) are the systems that enable to provide communication
between users and an external device through only brain activities. One of significant …