Case Analysis on Three Methods of BCI Systems for Stroke Rehabilitation

Abstract

Stroke is a disease that can cause disability to patients, and many people suffer from stroke. Brain-computer interface (BCI) technology development leads to BCI stroke rehabilitation system. After several years of development of theory and technology, BCI systems show great potential in stroke rehabilitation. There are three specific methods of BCI stroke rehabilitation systems. The methods involve Functional Electric Stimulation, Robotics Assisted Systems, and Virtual Reality. This paper will introduce three methods and analyze the research cases of each technique. The article will introduce the principle and investigate some research cases of each method. The paper will present the procedure, analyze the results and evaluate each experiment. By analyzing the cases, it can be learned that all three methods are feasible and effective, proving that the BCI system for stroke rehabilitation is a promising therapy. At last, limitations on BCI systems will be analyzed, such as small sample size and limitations on particular actions.