EEG-Based Motor BCIs for Upper Limb Movement: Current Techniques and Future Insights
Motor brain-computer interface (BCI) refers to the BCI that decodes voluntary motion
intentions from brain signals directly and outputs corresponding control commands without …
intentions from brain signals directly and outputs corresponding control commands without …
Dual selections based knowledge transfer learning for cross-subject motor imagery EEG classification
T Luo - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Motor imagery electroencephalograph (MI-EEG) has attracted great attention in
constructing non-invasive brain-computer interfaces (BCIs) due to its low-cost and …
constructing non-invasive brain-computer interfaces (BCIs) due to its low-cost and …
Detection of tactile-based error-related potentials (ErrPs) in human-robot interaction
SK Kim, EA Kirchner - Frontiers in Neurorobotics, 2023 - frontiersin.org
Robot learning based on implicitly extracted error detections (eg, EEG-based error
detections) has been well-investigated in human-robot interaction (HRI). In particular, the …
detections) has been well-investigated in human-robot interaction (HRI). In particular, the …
Posthoc interpretability of neural responses by grouping subject motor imagery skills using cnn-based connectivity
DF Collazos-Huertas, AM Álvarez-Meza… - Sensors, 2023 - mdpi.com
Motor Imagery (MI) refers to imagining the mental representation of motor movements
without overt motor activity, enhancing physical action execution and neural plasticity with …
without overt motor activity, enhancing physical action execution and neural plasticity with …
Multimodal decoding of error processing in a virtual reality flight simulation
Technological advances in head-mounted displays (HMDs) facilitate the acquisition of
physiological data of the user, such as gaze, pupil size, or heart rate. Still, interactions with …
physiological data of the user, such as gaze, pupil size, or heart rate. Still, interactions with …
A Multi-Channel Ensemble Method for Error-Related Potential Classification Using 2D EEG Images
T Tao, Y Gao, Y Jia, R Chen, P Li, G Xu - Sensors, 2023 - mdpi.com
An error-related potential (ErrP) occurs when people's expectations are not consistent with
the actual outcome. Accurately detecting ErrP when a human interacts with a BCI is the key …
the actual outcome. Accurately detecting ErrP when a human interacts with a BCI is the key …
SCDAN: Learning Common Feature Representation of Brain Activation for Intersubject Motor Imagery EEG Decoding
An electroencephalogram (EEG)-based motor imagery (MI) brain–computer interface (BCI)
builds a direct communication channel between humans and computers by decoding EEG …
builds a direct communication channel between humans and computers by decoding EEG …
Towards imagined speech: Identification of brain states from EEG signals for BCI-based communication systems
Background The electroencephalogram (EEG) based brain-computer interface (BCI) system
employing imagined speech serves as a mechanism for decoding EEG signals to facilitate …
employing imagined speech serves as a mechanism for decoding EEG signals to facilitate …
Towards a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model
J Wang, W Wang, J Su, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Motor imagery-based brain–computer interface (MI-BCI) has shown promising potential for
improving motor function in neurorehabilitation and motor assistance among patients …
improving motor function in neurorehabilitation and motor assistance among patients …
脑机接口范式及其脑电数据集研究进展
王井辉， 高娟， 李恳， 王子文， 徐玉洁， 任涵… - 医学研究与 …, 2024 - yxyjyjy.hbu.edu.cn
脑机接口(brain-computer interface, BCI) 是指人脑与外部设备之间创建直接连接,
实现脑与设备的信息交换. 临床医生可以使用不同方法监测大脑活动, 脑电图已被用作测量大脑 …
实现脑与设备的信息交换. 临床医生可以使用不同方法监测大脑活动, 脑电图已被用作测量大脑 …