Analysis and characterization of electrical signals of the brain using computer brain interface
Different processes of cerebral activity can be perceived as electrical signals. Some of them can generate potentials over the scalp. These potentials can be captured through an electroencephalogram (EEG) system. In case it’s motor activity (related to arm, legs and other limb movements), regions as...
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| Other Authors: | , , , |
| Format: | article |
| Language: | Spanish |
| Published: |
2020
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| Online Access: | https://revistas.utp.ac.pa/index.php/ric/article/view/2395 https://ridda2.utp.ac.pa/handle/123456789/10099 |
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| Summary: | Different processes of cerebral activity can be perceived as electrical signals. Some of them can generate potentials over the scalp. These potentials can be captured through an electroencephalogram (EEG) system. In case it’s motor activity (related to arm, legs and other limb movements), regions associated with motor and sensorial tasks present a variation in activity, called sensorimotor rhythms (SMR), and is observed in the mu (8 – 12 Hz) and part of Beta (18 – 30 Hz) band frequencies, even if it’s only the movement imagination. The next article looks for the differentiation and identification of the movement intention (motorimagination), in base to the changes in energy of the bands previously mentioned and topographical analysis, to establish if this electrical activity is viable to generate outputs in control systems. |
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