Artificial Intelligence in Rehabilitation Evaluation Based Robotic Exoskeletons: A Review

Abstract

The center and foundation of recovery is evaluation, which will lead to the whole therapy phase. Healthcare professionals or clinicians must evaluate patients' lower/upper-limb activity based on discretionary and objective assessments during recovery. Existing approaches can result in a significant error and high expense. As a result, AI is being used in the area of medical recovery. The implementation of analytical estimation approaches based on AI, such as error of trajectory function, joint angular velocity, and joint angels, and function of sEMG's signal will be summarized in this analysis. Eventually, the study suggests that the size of data and the number of features affect current objective approaches. This study will include guidance for a more extensive application in the area of recovery.