| Summary: | 碩士 === 國立成功大學 === 工程科學系 === 104 === Nowadays, the cerebral vascular accident (CVA) is a common disease. People who suffer from this disease would be inconvenient in their daily life. Patients should receive treatments actively to improve movement ability effectively. However, it takes lots of time and manpower as the rehabilitation therapies are needed to be conducted one-on-one. Moreover, whether to treat with assistive devices or not is lacking objective evaluations and also lacking data to measure the effect of training. To solve the above-mentioned inadequate situations, the idea is to develop a housebound rehab system which can provide patients with autonomous training. Also, it reduces medical costs and inconvenience of traffic.
In the hardware design of the proposed rehab system, the integration of AI servos and footboards enables patients to stretch and rotate their ankle joints. Single-chip microcomputer is installed and implemented to convert analog signals to digital signals to show on the human-machine interface, which is programmed by Visual Studio. Both active and passive modes are set in the interface. In the active mode, the user steps up the footboards voluntarily, while the servos force the user to move accordingly. Moreover, electromyogram sensors measure the electromyogram of worked muscles which is analyzed to judge whether the muscles are fatigued or not. This could avoid the patient from relapsing of the disease.
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