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Single-source to single-target cross-subject motor imagery classification based on multisubdomain adaptation network
In the electroencephalography (EEG) based cross-subject motor imagery (MI) classification
task, the device and subject problems can cause the time-related data distribution shift …
task, the device and subject problems can cause the time-related data distribution shift …
[HTML][HTML] Selective subject pooling strategy to improve model generalization for a motor imagery BCI
Brain–computer interfaces (BCIs) facilitate communication for people who cannot move their
own body. A BCI system requires a lengthy calibration phase to produce a reasonable …
own body. A BCI system requires a lengthy calibration phase to produce a reasonable …
BIO‐inspired fuzzy inference system—For physiological signal analysis
When a person's neuromuscular system is affected by an injury or disease, Activities‐for‐
Daily‐Living (ADL), such as grip**, turning, and walking, are impaired …
Daily‐Living (ADL), such as grip**, turning, and walking, are impaired …
Confidence-aware subject-to-subject transfer learning for brain-computer interface
The inter/intra-subject variability of electroencephalography (EEG) makes the practical use
of the brain-computer interface (BCI) difficult. In general, the BCI system requires a …
of the brain-computer interface (BCI) difficult. In general, the BCI system requires a …
A Novel Event-Related Desynchronization/Synchronization with Gamma Peak EEG model for Motor State Identification
Electroencephalography (EEG) is one of the imperative physiological signals for therapeutic
and rehabilitative robotic control. The EEG features in time-domain, frequency-domain, and …
and rehabilitative robotic control. The EEG features in time-domain, frequency-domain, and …
A Stepwise Discriminant Analysis and FBCSP Feature Selection Strategy for EEG MI Recognition.
YH Meng, YR Su, D Li, JF Nan… - International Journal of …, 2024 - search.ebscohost.com
Accurate decoding of brain intentions is a pivotal technology within Brain-Computer
Interface (BCI) systems that rely on Motor Imagery (MI). The effective extraction of …
Interface (BCI) systems that rely on Motor Imagery (MI). The effective extraction of …