Arm Exoskeleton for Rehabilitation Following Stroke by Learning Algorithm Prediction

Abstract

Stroke is a major cause of disability in worldwide and also one of the causes of death after coronary heart disease. Many devices had been designed for hand motor function rehabilitation that a stroke survivor can use for bilateral movement practice. This paper presents an arm motor function rehabilitation device where it is designed to predict the position angle for the robotic arm. MATLAB software is used for real-time positioning that can be developed by SIMULINK block diagram and proof by the simulator in program code in order for devising to operate under the position demand. All the angular motions or feedback to the simulation mode from the attached optical encoders via the Data Acquisition Card (DAQ). The learning algorithm can directly determine the position of its joint and can therefore completely eliminate the need for any system modelling. The robotic arm shows a successful implementation of the learning algorithm in predicting the behavior for arm exoskeleton.

Linear and Non-Linear Predictive Models in Predicting Motor Assessment Scale of Stroke Patients Using Non-Motorized Rehabilitation Device

“…The concept of feature selection pertains to identifying the optimal amalgamation of predictor variables that holds the greatest influence on the predictive model. A study using a 3R horizontal robot showed that by using all kinematic variables as input predictors for the ANN model was able to produce high predictive performance [31]. In addition, a study conducted utilizing Kinect employed over twelve predictors in the ANN model, yielding substantial predictive performance in estimating the FMA clinical score of stroke subjects [32].…”

A Survey of Robots in Healthcare

“…With respect to upper limb rehabilitation, there are robotic systems that are designed for various purposes and functionalities such as assisting various upper limb movements and rehabilitation of affected upper limbs due to paralysis caused by various conditions. Many robotic systems and frameworks have been developed mainly for the rehabilitation of upper limbs with disabilities caused by paralysis due to stroke and hemiplegia [93][94][95][96]. According to Maciejasz et al [97], there are robotic systems developed to assist the following types of upper limb joint movements-shoulder movements, elbow movements, forearm movements, wrist movements, and finger movements.…”

Two-Degree Adjustable Exoskeleton for Assistance of the Human Arm Using a Mechanical System of Fast Assembly and Upgradability

“…Studies have been carried out, such as [3,4,5,6,7,8] who offer exoskeletons for rehabilitation assistance, but their non-mobile system, price or operational complexity prevents them from being easily used by patients without professional staff, nor can they use it without going to a specialized place. It is necessary to improve the rehabilitation assistance so that the exoskeletons used in this application area, are easy to use, inexpensive and meet design criteria that also allow easy maintenance and repair, as well as portability.…”