Abstract
Introduction: There have been many studies proposing new functionalities that would increase the capacity of the brain-machine interface and significantly improve the quality of life of people with reduced mobility, such as the combination with virtual reality, which would provide a safe navigation experience. There are still many topics that have not yet been fully explored in the brain-machine interface. Objectives: List the most recent and main discoveries on the subject and showing the importance of these discoveries. Methodology: This study is a literature review, which used the DeCS/MeSH descriptors "Brain-Computer Interfaces","neural pathways" and "brain mapping" intertwined with the Boolean operators "AND" or "OR", to search the PubMed, ScienceDirect and VHL databases. Results: Brain-machine interfaces have shown great success in decoding intended movements from neural activity recorded in the primary motor cortex and then restoring motor control of their own hand in people with tetraplegia. The big problem lies in the lack of tactile feedback, which undermines this significant progress in neurorehabilitation. Some brain-machine interfaces provide a direct and intuitive means of communication between external devices and people, eliminating the need for external controls. They record brain activity and translate control commands to an output device. Conclusion: The data is still limited, and the information obtained on the Brain-Machine interface is not close to an outcome. There is still a need for more work to have a broader understanding of the subject.
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