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Brain-computer interface based on detection of movement intention as a means of brain wave modulation enhancement
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Pulido Castro S.D.
López López J.M.
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2017
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SPIE
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Abstract
Movement intention (MI) is the mental state in which it is desired to make an action that implies movement. There are certain signals that are directly related with MI; mainly obtained in the primary motor cortex. These signals can be used in a brain-computer interface (BCI). BCIs have a wide variety of applications for the general population, classified in two groups: optimization of conventional neuromuscular performances and enhancement of conventional neuromuscular performances beyond normal capacities. The main goal of this project is to analyze if neural rhythm modulation enhancement could be achieved by practicing, through a BCI based on MI detection, which was designed in a previous study. A six-session experiment was made with eight healthy subjects. Each session was composed by two stages: a training stage and a testing stage, which allowed control of a videogame. The scores in the game were recorded and analyzed. Changes in alpha and beta bands were also analyzed in order to observe if attention could in fact be enhanced. The obtained results were partially satisfactory, as most subjects showed a clear improvement in performance at some point in the trials. As well, the alpha to beta wave ratio of all the tasks was analyzed to observe if there are changes as the experiment progresses. The results are promising, and a different protocol must be implemented to assess the impact of the BCI on the attention span, which can be analyzed with the alpha and beta waves. © 2017 SPIE.
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Keywords
Bioinformatics , Interfaces (computer) , Modulation , Based on detections , Brain wave , Different protocols , General population , Healthy subjects , Mental state , Movement intentions , Primary motor cortex , Brain computer interface , Brain wave modulation , Brain-computer interface , Movement intention
