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ABSTRACT: Background
In combined with neurofeedback, Motor Imagery (MI) based Brain-Computer Interface (BCI) has been an effective long-term treatment therapy for motor dysfunction caused by neurological injury in the brain (e.g., post-stroke hemiplegia). However, individual neurological differences have led to variability in the single sessions of rehabilitation training. Research on the impact of short training sessions on brain functioning patterns can help evaluate and standardize the short duration of rehabilitation training. In this paper, we use the electroencephalogram (EEG) signals to explore the brain patterns' changes after a short-term rehabilitation training.Materials and methods
Using an EEG-BCI system, we analyzed the changes in short-term (about 1-h) MI training data
SUBMITTER: Wang Y
PROVIDER: S-EPMC8336868 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature