Design & Implementation of Brain Controlled Interface For Healthcare Applications

BCIs have gained significant attention as a means of communication and control for individuals with disabilities or neurological disorders. However, existing BCIs often suffer from limitations such as low accuracy, complexity, and limited functionality, hindering their widespread adoption in healthcare settings. This paper aims to address these limitations by developing a BCI system that incorporates advanced signal processing techniques, machine learning algorithms, and intuitive user interfaces.A functional prototype of the BCI system is developed, integrating appropriate hardware components and software algorithms. Extensive testing and validation are conducted to assess accuracy, reliability, safety, and adaptability, with user feedback gathered through surveys and usability studies to improve user satisfaction.