Design an Interfacing Tracking System in Rehabilitation Therapies Between The Elbow Joint of The Human Arm and The Prosthetic Arm

Myoelectric prostheses have seen an increased application in clinical practice and research, due to their potential for good functionality and versatility. Yet, myoelectric prostheses still suffer from a lack of intuitive control and haptic feedback, which can frustrate users and lead to abandonment. To address this problem, a prosthetic arm was designed to help the amputees, who unfortunately lost their upper limb. Then, the prosthetic arm was equipped with a hybrid haptic feedback stimulation system to compensate for the missing sensation and enable the amputees to easily perform their normal life activities. The tracking system between the elbow joints of the human and the prosthetic arms was required to accomplish the experimental tests with the able-body subjects. Accordingly, this study is a platform for the main project. The major problem is to synchronize the movements of the prosthetic arm’s elbow joint with the human arm’s elbow joint within a high response, acceptable accuracy, and low error. Therefore, the PID controller was used to control the tracking system and the flexible bending sensor was attached to the volunteer’s elbow joint to record its rotational movements. The results verified the functionality of the proposed tracking system to synchronize the joints movements and enable the prosthetic arm to follow the movements of the volunteer’s arm within 0.062 sec. Finally, the effectiveness of the proposed elbow joints tracking system to synchronize the motions of the volunteer and he prosthetic arms was concluded. &nbsp

Development of Low Cost Supernumerary Robotic Fingers as an Assistive Device

This paper presents the development of new type of wearable robot namely Supernumerary Robotic Finger (SRF) as  an  assistive   robot  for  healthy  people  or  people   with hemiparesis or hemiplegia. SRF comprises of two manipulators attached  in user’s wrist. Three flex sensors are utilized to measure the finger bending of the user’s finger. The posture of SRF is driven by modified glove sensor. The kinematics of both robotic thumb (RT) and robotic finger (RF) is studied using D-H parameter method and RoboAnalyzer software in order to understand the kinematic behavior of this robot. Each of RT and RF has three degrees of freedom (DOF). The posture of RT and RF is controlled using bending angles of thumb and finger from the user that are read by flex sensor. Based on the experimental results for people with healthy hand, the proposed SRF can assist object manipulation task in grasping, holding, and manipulating an object by using single hand when normally it only can be done by using two hands. From the experimental results on a person with healthy hand, the proposed of SRF can be employed as an assistive device for people with hemiparesis or hemiplegia. This device will enable people with diminished hand function work more independently

A Review of Non-Invasive Haptic Feedback stimulation Techniques for Upper Extremity Prostheses

A sense of touch is essential for amputees to reintegrate into their social and work life. The design of the next generation of the prostheses will have the ability to effectively convey the tactile information between the amputee and the artificial limbs. This work reviews non-invasive haptic feedback stimulation techniques to convey the tactile information from the prosthetic hand to the amputee’s brain. Various types of actuators that been used to stimulate the patient’s residual limb for different types of artificial prostheses in previous studies have been reviewed in terms of functionality, effectiveness, wearability and comfort. The non-invasive hybrid feedback stimulation system was found to be better in terms of the stimulus identification rate of the haptic prostheses’ users. It can be conclude that integrating hybrid haptic feedback stimulation system with the upper limb prostheses leads to improving its acceptance among users