Reducing False Triggering Caused by Irrelevant Mental Activities in Brain-Computer Interface Based on Motor Imagery

Reducing False Triggering Caused by Irrelevant Mental Activities in Brain-Computer Interface Based on Motor Imagery

In recent years, the brain-computer interface (BCI) based on motor imagery (MI) has been considered as a potential post-stroke rehabilitation technology. However, the recognition of MI relies on the event-related desynchronization (ERD) feature, which has poor task specificity. Further, there is the...

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Bibliographic Details
Main Authors: He, F. (Author), Qi, H. (Author), Tao, X. (Author), Zhou, L. (Author), Zhou, P. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
adult
Article
artificial neural network
Brain
brain computer interface
Brain computer interface
brain depth stimulation
Brain-computer interface
Brain-Computer Interfaces
cerebrovascular accident
clinical article
clinical trial
dorsolateral prefrontal cortex
electroencephalography
Electroencephalography
electrostimulation
Event related desynchronization
Evoked Potentials, Somatosensory
false triggering
False triggering
feasibility study
female
hand
Hand
human
Humans
imagination
Imagination
machine learning
male
measurement accuracy
Mental activity
mental performance
motor activity
motor cortex
motor evoked potential
motor imagery
neurorehabilitation
Post-stroke rehabilitation
receiver operating characteristic
Recognition models
Rehabilitation training
sensitivity and specificity
signal noise ratio
somatosensory evoked potential
spinal cord injury
steady-state somatosensory evoked potential
Steady-state somatosensory evoked potential (SSSEP)
stroke rehabilitation
support vector machine
Target and non targets
task specificity
visual stimulation
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