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@article{158728,
        author = {Hemanth Chandra N and Jeevan T G and Nikhil H N and Sthuti J and Vinay S},
        title = {Study on Brain Computer Interface for disabled people with communication disorders},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {471-480},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158728},
        abstract = {For people with serious physical disabilities who lack the means of conventional communication or who are no longer able to communicate, a Brain Computer Interface (BCI) is a good and advantageous option. The goal of this research is to help people with severe muscular disorders like amyotrophic lateral sclerosis (ALS), stroke-related paralysis, locked in syndrome, tetraplegia, and myasthenia gravis regain their ability to communicate. It is true that BCI can be used for a broad range of activities, not just neurofeedback, the recovery of motor function in paralyzed patients, enabling interactions with locked patients, and improving sensory processing. This review article discusses various methods and approaches for neural correlations of attempted or simulated speech that may help people with severe communication disorders regain communication and enhance their quality of life. },
        keywords = {Brain Computer Interface, Electroencephalography, Imagined speech, Neurosky Mindwave sensor},
        month = {},
        }