Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …
any physical movement, thus aiding people with severe motor disabilities in communicating …
Comprehensive review on brain-controlled mobile robots and robotic arms based on electroencephalography signals
There is a significant progress in the development of brain-controlled mobile robots and
robotic arms in the recent years. New advances in electroencephalography (EEG) …
robotic arms in the recent years. New advances in electroencephalography (EEG) …
A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces
Recent advancements in brain computer interfaces (BCI) have demonstrated control of
robotic systems by mental processes alone. Together with invasive BCI …
robotic systems by mental processes alone. Together with invasive BCI …
Critic learning-based control for robotic manipulators with prescribed constraints
In this article, the optimal control problem for robotic manipulators (RMs) with prescribed
constraints is addressed. Considering the environmental conditions and requirements of …
constraints is addressed. Considering the environmental conditions and requirements of …
Cybersecurity in neural interfaces: Survey and future trends
With the joint advancement in areas such as pervasive neural data sensing, neural
computing, neuromodulation and artificial intelligence, neural interface has become a …
computing, neuromodulation and artificial intelligence, neural interface has become a …
Imaginary finger movements decoding using empirical mode decomposition and a stacked BiLSTM architecture
Motor Imagery Electroencephalogram (MI-EEG) signals are widely used in Brain-Computer
Interfaces (BCI). MI-EEG signals of large limbs movements have been explored in recent …
Interfaces (BCI). MI-EEG signals of large limbs movements have been explored in recent …
Evaluation of mother wavelets on steady-state visually-evoked potentials fortriple-command brain-computer interfaces
Wavelet transform (WT) is an important tool to analyze the time-frequency structure of a
signal. The WT relies on a prototype signal that is called the mother wavelet. However, there …
signal. The WT relies on a prototype signal that is called the mother wavelet. However, there …
Recognition of upper limb action intention based on IMU
JW Cui, ZG Li, H Du, BY Yan, PD Lu - Sensors, 2022 - mdpi.com
Using motion information of the upper limb to control the prosthetic hand has become a
hotspot of current research. The operation of the prosthetic hand must also be coordinated …
hotspot of current research. The operation of the prosthetic hand must also be coordinated …
Motor imagery classification via kernel-based domain adaptation on an SPD manifold
Background: Recording the calibration data of a brain–computer interface is a laborious
process and is an unpleasant experience for the subjects. Domain adaptation is an effective …
process and is an unpleasant experience for the subjects. Domain adaptation is an effective …
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task
Electroencephalogram (EEG) based motor trajectory decoding for efficient control of brain–
computer interface (BCI) systems has been an active area of research. The systems include …
computer interface (BCI) systems has been an active area of research. The systems include …