This paper presents three haptic-based virtual applications for the undergoing rehabilitation of upper-limb post stroke patients. The three exercises are developed for their use on the multi-modal interface so-called Bimanual Haptic Desktop System (BHDS), which integrates the haptic functionalities and Video Display Terminal (VDT) within the work-plane of a desk. Firstly, two basic exercises, tracking task and lifting task, are carried out for the recovery of basic arm motion-coordination skills and steadiness of patients' upper-limb. Secondly, a video-game-like exercise, catching task, is developed to compare online the performance of healthy upper-limb with impaired ones wherein hand-eye coordination exercise of the patient is included. To this end, the proposed exercises provide to patients the potential methods to train their post-stroke upper-limbs malfunctions while reporting the quantitative parameters obtained to evaluate the improvement of patients recovery. Experimental results of a preliminary evaluation on healthy subjects are then reported and discussed to visualize in near future a pilot medical trials of the system on impaired people
Abstract. Rehabilitation robotics applications and their developments have been spreading out as consequences of the actual needs in the human activities of daily living (ADL). Exoskeletons for rehabilitation are one of them, whose intrinsic characteristics are quite useful for applications where repetitive, robustness and accurate performance are a must. As a part of robotic-mediatedrehabilitation programme into the worldwide, the exoskeletons are trying to improve the ADL of disable people through the fusion of several disciplines that lets to expand the capabilities of wearing a powered robotic exoskeletal device for rehabilitation tasks. This fact deserves to present this contribution from a general scope point of view, i.e., the technologies integration and its associated knowledge. So far, the Light-Exoskeleton which is intended for human arm rehabilitation in post-stroke patients is introduced. Preliminary experimental results as well as the involved stages about the system show the capabilities of using a robotic-constrained-rehabilitation for human arm.
It is well-known that virtual reality (VR) is a powerful and promising computer-based technology for the motor recovery in stroke patients. The importance of using VR into arm rehabilitation has coined it as clinical VR; where its main sake is to improve the recovery process of post-stroke patients. In this regard, physical therapy and occupational therapy are provided by such technology. As we shall see into this contribution, interesting clinical VR applications have been designed for handling effectively the brain plasticity in chronic stroke patients. To this end, we use the so-called Light-Exoskeleton which has been presented for arm-robotic therapy such that it serves as the kinesthetic feedback stimulator for assisting the patient during the rehabilitation sessions.
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