Brain-Computer Machine-based Rehabilitation Procedure Efficiency For Post-Stroke

Abstract

Stroke still remains one of the major cause of disability. The post-stroke impact one may experience is multifaceted, from motor, cognitive, and emotional influences, reducing one's quality of life. Past treatments developed in the past had strict requirements, therefore limiting treatment enrollments. Recent research on brain-machine interface-based therapy for post-stroke motor rehabilitation showed promising outcomes. Moreover, these BMIs have been modified to consist of different signal acquisition and device outputs, to be centered around post-stroke cognitive and emotional influences. BMI based system relays on the mechanisims of neuroplasticity, and the the present essay attempted to explore the efficiency of different BMI systems in maximizing neuroplasticities in order to restore motor and cognitive impairements. Moreover, the essay also explored the regulatory efficiency in combating post-stroke related depressive issues. As conclusion, BMI shows promosing results in promoting motor and cognitive rehabilitation, also showing encouraging prospect in mood regulation. However, evidence focusing on the transferability and endurance of these observed effects is still largely lacking.