Abstract
A Brain-Computer Interface (BCI) is a device that monitors central nervous system (CNS) activity and transforms it into artificial output that can be used to replace, improve, supplement, or restore the natural CNS output. Brain-Computer Interface (BCI) technologies for neurological diseases are vital for the well-being of related patients. This paper presents 4 forms of BCI technologies used for neurological diseases: EEG-based BCI for the treatment of Attention Deficit Hyperactivity Disorder (ADHD), Neural Cursor and BCI Spellers for ALS patients, Seizure Prediction BCI for those with epilepsy, and Motor Imagery BCI (MI-BCI) for the treatment of upper-limb strokes. The development and applications of the aforementioned BCI technologies are covered in detail. This literature review's objective is to examine the key characteristics of BCI technologies used to make the life quality of neurological disease sufferers better. The author aims to assist concerned researchers and individuals with the gathered information and help future researchers to learn better from previous studies.
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