The Utilization of Brain-Computer Interfaces (BCI) with CLONALG to Amplify Exhibited Neurological Signals

Nearly 50 million individuals are diagnosed with neurodegenerative diseases every year. Moreover, this figure is expected to grow as the population grows older. These neurodegenerative diseases have had a profound impact on the neurological functioning of an individual. For instance, being diagnosed with cerebral palsy has been correlated with poor movement and coordination, atypical development patterns, and communication and swallowing difficulties. To help these struggling individuals, scientists have developed a plethora of technologies to assimilate them into day-to-day life. For example, botox injections are commonly used to relieve muscle spasms that have prevented swallowing difficulties. However, these existing treatments have all had disadvantages. For example, botox injections have commonly led to side effects, such as a crooked smile, watery and dry eyes, and flu-like symptoms. Overall, these side effects have disrupted individuals' psychological state, causing renewed calls for better treatments. Fortunately, brain-computer interfaces (BCIs) provide hope for these individuals. For example, to minimize the consequences of cerebral palsy, brain-computer interfaces (BCIs) allow for the usage of remaining muscular pathways as a substitute for paralyzed muscles. This substitution allows for the eyes and hands to have renewed control over communication devices. In this research paper, we will analyze techniques to optimize the strength of brain-computer interfaces (BCIs) by specifically analyzing how the CLONALG algorithm will enhance the strength of brain-computer interfaces.