Algorithms
In this section you will find information on feature extraction algorithms, classification algorithm and user interfaces.
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Printed circuits
In this section you will find information about the designed boards and future hardware implementations.
Signal processing
And lastly this, the third column of representative placeholder content.
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Protype. General description.
This is a prototype of BCI medical equipment based on NF techniques to quantify the attention and concentration levels of a test subject. And likewise, to learn to self-regulate their brain waves through the principle of operant conditioning, using machine learning (ML) techniques that will help determine the concentration and sustained attention of the test subject based on the TBR (Theta/Beta ratio) and SA (sustained attention) protocols.
User interface for the health professional.
The main user interface allows the health professional to monitor in real time the Theta/Beta Ratio and instantaneous percentiles of sustained attention. At the end of the training session, the health professional can download the data collected in the session in ".xlsx" format for his convenience.
Videogame for test subject.
The video game is simple, but very informative for the test subject, as each error made in the training will be fed back to him in red, as it is a color that denotes alertness.