[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 …
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
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 …
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) …
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 …
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
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 …
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 …
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
Son yıllarda teknolojinin gelişmesi sonucunda beyin bilgisayar arayüzü ile ilgili çalışmalar
artmıştır. Beyin Bilgisayar Arayüzü (Brain Computer Interface-BCI) yöntemlerinde …
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 …
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 …
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 …
between users and an external device through only brain activities. One of significant …