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This paper presents the initial work on implementing a simple control algorithm for a wearable orthotic glove using the myoelectric signals of a stroke patient as the input. The glove is used to assist in the rehabilitation of wrist and elbow. Surface myoelectric signals (MES) are acquired from the biceps brachii and the flexor carpi ulnaris. The MES is processed and temporal features are extracted...
This presentation will describe our study which aims to examine the principles of technology-supported self management in the rehabilitation of stroke as a long term condition by integrating the mixed qualitative research and user-centered design methods.
The biomechanical analysis done in this project is to assist the development of the robot assisted stroke rehabilitation system. Thus, the analysis of the upper limbpsilas motions focus on rehabilitation training for stroke survivor. As the human upper limb system is a natural biomechanical system, which can be modeled as links connected together by different joints with its own biological properties,...
Arm impairments in patients post stroke involve the shoulder, elbow and wrist simultaneously. Patients may develop spasticity and reduced range of motion (ROM) at the multiple joints with abnormal couplings between the multiple joints and between the multiple degrees of freedom (DOF). They may lose independent control of individual joints and coordination among the joints. This project is aimed at...
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