Exploring Brain-Computer Interface with CNS Technologies to Enhance Communication Abilities in Pseudocoma Individuals

This paper discusses the application of Brain-Computer Interface (BCI) technologies in improving communication abilities for Locked-In Syndrome or Pseudocoma Patients. Pseudocoma is a condition where individuals are conscious but unable to speak or move due to a paralytic situation. BCI technology allows direct communication between the external devices and the brain, allowing patients to control devices using their brain signals. This paper focuses on some possible solutions based on motor imagery signals generated by pseudocoma patient which are either used as single or double-triggering signals enabling them to communicate, control their environment, and potentially regain some independence. The findings of this research discuss the possibilities of enhancing the lives of patients with Pseudocoma by using motor imagery signals blended with AI-based software solutions. Also, it shows an application architecture that can be integrated with BCI systems to help pseudocoma patients express themselves and interact with others. The study also highlights the neuro-technology which uses neural interfaces to read or write information into the CNS (Central Nervous System) which can be a significant potential of BCI technology in empowering pseudocoma patients to communicate effectively and improve their overall well-being.