Non-invasive Brain-Computer Interfaces: State of the Art and Trends
Brain-computer interface (BCI) is a rapidly evolving technology that has the potential to
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …
widely influence research, clinical and recreational use. Non-invasive BCI approaches are …
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 …
A review on motor imagery with transcranial alternating current stimulation: bridging motor and cognitive welfare for patient rehabilitation
Research has shown the effectiveness of motor imagery in patient motor rehabilitation.
Transcranial electrical stimulation has also demonstrated to improve patient motor and non …
Transcranial electrical stimulation has also demonstrated to improve patient motor and non …
Improving inter-session performance via relevant session-transfer for multi-session motor imagery classification
Motor imagery (MI)-based brain-computer interfaces (BCIs) using electroencephalography
(EEG) have found practical applications in external device control. However, the non …
(EEG) have found practical applications in external device control. However, the non …
Hilbert–Huang Transformation-based subject-specific time–frequency-space pattern optimization for motor imagery electroencephalogram classification
X Liu, Y Sun, D Zheng, R Na - Measurement, 2023 - Elsevier
The advancement of brain–computer interfaces (BCIs) has narrowed the gap between
humans and computers, allowing intentional interaction by monitoring and translating brain …
humans and computers, allowing intentional interaction by monitoring and translating brain …
Low to High Dimensional Projection of Seizure Electroencephalography Using Recurrent Neural Network
KN Vishnu, N Singh, D Hazarika… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
This article describes solutions for an electroencephalographic (EEG) signal-based seizure
detection problem, where the class imbalance in the dataset is a severe problem. The'IEEE …
detection problem, where the class imbalance in the dataset is a severe problem. The'IEEE …
[引用][C] ПРИМЕНЕНИЕ КОМПОЗИЦИОННЫХ АЛГОРИТМОВ В ЗАДАЧЕ ВОССТАНОВЛЕНИЯ ДАННЫХ
АА Мусаев, АВ Достойнов - 21 век: фундаментальная наука и …, 2023 - elibrary.ru