We explore the possibility of assessing the acquisition of a new skill through electroencephalographic (EEG) measurements. In particular, we propose an experiment to monitor the process of learning to type using the Colemak keyboard layout during a twelve-lessons training. As a first step, we are interested in identifying statistically significant changes in the power spectral density (PSD) of various EEG rhythms at various stages of the learning process. Those changes are taken into account only when a probabilistic measure of the cognitive state ensures the high engagement of the volunteer to the training. Our preliminary experimental results showed changes in the β and γ rhythms for seven volunteers during the training process. Such changes are in agreement with previous reports of changes in PSD associated to feature binding and fluid intelligence.
Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as remote rehabilitation or telerehabilitation. The design and development of BCIs integrate different processes, including biosignals acquisition and processing, feature extraction and selection, classification of signals, and application of the technology to patients under rehabilitation treatments. This manuscript presents a literature review of the papers focused on the implementation of BCI and assistive technologies for remote rehabilitation based on virtual reality implementation. The purpose of this comprehensive review is to identify those studies that take advantage of virtual reality in combination with a biomedical technology to improve the performances of diverse rehabilitation processes. Various revisited studies provided a complete system for remote rehabilitation. These findings could lead to applying these models in diverse rehabilitation tasks.
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