Multimodal Brain-Computer Interface Based on Artificial Intelligence for Rehabilitation of People with Motor Disorders

Abstract

This paper describes a work in process of developing a solution for quality of life improvement for people with severe movement deficit after stroke and brain injuries. The solution is a multimodal brain-computer interface system for motor rehabilitation, which performs real-time decoding of brain and body signals using artificial intelligence methods. The project aims to develop a safe, affordable and portable system, which has the potential to become the key technology for neuro-rehabilitation of patients with severe movement disorders.