Predefined recovery exercises system for after stroke hand rehabilitation

Abstract

The paper presents the design of an intelligent haptic robotic glove (IHRG) model for the rehabilitation of the patients that have been diagnosed with a cerebrovascular accident (CVA). Total loss or loss of range of motion, decreased reaction times and disordered movement organization create deficits in motor control, which affect the patient's independent living. The proposed approach aims to improve the recovery programs using a set of predefined rehabilitation exercises. They will work together and, according to the hand movement, the progress will be encountered when the patient uses more his own force and less the controlled glove. The final goal was the integration of the haptic robotic glove with Shadow Dexterous Hand and ROS (Robot Operating System). In this way the glove movements made by a patient wearing it, will be found in the virtual reality simulator.