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COMPUTER INTERFACES OF THE BRAIN FOR NEUROREHABILITATION - ITS CURRENT STATE AS A STRATEGY FOR REHABILITATION AFTER A STROKE

The idea of using computer-integrated interfaces (BCIs) for rehabilitation comes relatively recently. In essence, BCI for neurological rehabilitation involves recording and decoding the patient's local brain signals when attempting to perform a task (even if incomplete), or during the creation of a mental image. The main goal is to attract individual parts of the brain and promote neuroplasticity. Recorded labeling can be used in various ways: (1) distinguishing and improving kinematic training by feedbacking the patient using a fictitious kinetic component, for example in a virtual environment; (2) achieving the desired physical activity through robotic orthotics or motivational rehabilitation. Functionality associated with the limbs of the patient - encourages and improves task performance, even "closing" a broken sensory ring, providing the patient with appropriate sensory responses; (3) understand brain reorganization after injury, influence or even measure plasticity changes in brain networks. For example, using brain stimulation to restore balance between the two hemispheres, as evidenced by a functional recording of brain activity during movement, may help recovery. Its potential benefit to patients has been demonstrated at various levels, and its versatility in frontal applications makes it adaptable to a large population. The condition and condition of many new rehabilitation systems must be assessed in relation to our current and somewhat tried-and-tested traditional methods, as well as the wide range of possible brain damage. The heterogeneity of expression after injury inevitably leads to the decoding of brain symptoms and thus its use in pathological conditions, requiring controlled clinical trials.