Abstract
A brain-computer interface (BCI) is an equipment and programming interchanges framework that allows Brain movement alone to control PCs or outer gadgets. The main objective of BCI research is to give corresponding abilities to seriously handicapped individuals who are entirely deadened or locked by neuromuscular issues, for example, amyotrophic lateral sclerosis, chronic stroke, tetraplegia, stroke, and spinal cord injury. Here, we review the cutting edge of BCIs, looking at the various advances that structure a standard BCI: signal obtaining, reprocessing or signal upgrade, include extraction, arrangement, and the control interface. We talk about their preferences, disadvantages, and most recent advances, and we review the various advances detailed in the analytical writing to plan each progression of a BCI. Initially, the survey inspects the neuroimaging modalities utilized in the signal obtaining step, each of which monitors an alternate practical Brain action, for example, electrical, attractive, or metabolic movement. After that, the survey talks about various electrophysiological control signals that decide user’s aims, which can be identified in mind action. At last, the survey gives a discussion of different BCI applications that control the scope of gadgets.
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Paul, D., Mukherjee, M., Bakshi, A. (2021). A Review of Brain-Computer Interface. In: Mukherjee, M., Mandal, J., Bhattacharyya, S., Huck, C., Biswas, S. (eds) Advances in Medical Physics and Healthcare Engineering. Lecture Notes in Bioengineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-6915-3_50
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