fNIRS-based brain-computer interfaces: a review
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Abstract
A brain-computer interface (BCI) is a communication system that allows the use of brain activity to control computers or other external devices. It can, by bypassing the peripheral nervous system, provide a means of communication for people suffering from severe motor disabilities or in a persistent vegetative state. In this paper, brain-signal generation tasks, noise removal methods, feature extraction/selection schemes, and classification techniques for fNIRS-based BCI are reviewed. The most common brain areas for fNIRS BCI are the primary motor cortex and the prefrontal cortex. In relation to the motor cortex, motor imagery tasks were preferred to motor execution tasks since possible proprioceptive feedback…
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973
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Authors
2Topics & keywords
Topics
Keywords
- Brain–computer interface
- Computer science
- Motor imagery
- Functional near-infrared spectroscopy
- Artificial intelligence
- Feature extraction
- Prefrontal cortex
- Support vector machine
UN Sustainable Development Goals
- Reduced inequalities
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