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The development of muscle strength evaluating system based on Android system was developed in this research. The system consists of a lower unit and an intelligent mobile terminal. The pressure sensor of the lower unit was used to collect muscle strength parameters. And the parameters were sent to the Android device through the wireless Bluetooth serial port. Then the Android device would send the parameters to the doctor monitored platform through the Internet. The system realized analyzing the muscle strength parameters and real-time displaying them. After it ran on the Android mobile phones, it showed an effective result which proved that the system combined with mobile platform could make more convenient for the patients to assess their own muscle strength. It also provided reliable data references for doctors to know the patients' rehabilitation condition and to make the next rehabilitation plan.
Subject(s)
Humans , Cell Phone , Internet , Monitoring, Physiologic , Muscle StrengthABSTRACT
Because of the safety and flexibility, pneumatics shows prospects of application in the field of rehabilitation. This article in-troduced the application of pneumatics in rehabilitation for stroke.
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@#Because of the safety and flexibility, pneumatics shows prospects of application in the field of rehabilitation. This article introduced the application of pneumatics in rehabilitation for stroke.
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This paper discussed the application of upper extremity rehabilitation devices in rehabilitation evaluation after stroke, fo-cused on some typical kinds of upper extremity rehabilitation systems. It was analyzed that the way to obtain multiple parameter and evalua-tion indices during the progress of upper extremity rehabilitation evaluation, and viewed the development and application of upper extremity rehabilitation evaluation technology.
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This article is aimed to present a design of a testing device for knee joint kinematics parameters of patients with strokes. We used Auto CAD to design the knee joint sensor device, and applied multifunction data acquisition card to collect sensor data. Then we transferred the data to the computer to quantitatively detect and analyze the joint angle, angular velocity and other parameters. The software system used Visual C+ + MFC frame and shared database Access, and used ADO technology to realize the collection between the software system and patient information system. After a preliminary test of 20 healthy subjects, the result showed that intraclass correlation coefficient (ICC) was more than 0.8, indicating a good reliability of the instrument.