基于wban智能康复监测系统设计与实现-测试计量技术及仪器专业论文.docx

ABSTRACTWith the advent of aging society, stroke patients with body motor functional dysfunction make a dramatic increment. Those subjects who suffered stroke must receive motor function rehabilitation training. Robot-aided neurorehabilitation is a new motor rehabilitation technology, and in the robot-aided neurorehabilitation, health state and physical recovery condition for stroke patients must be real-time monitored so as to make instructions for training modes and therapy control methods. In order to solve the deficiency that rehabilitation evaluation is only performed before and after the rehabilitation training process, a smart rehabilitation monitoring system based on wireless body area network (WBAN) is developed, which includes:Firstly, recent researches on rehabilitation monitoring system implementation at domestic and foreign have been analyzed, and the principles of rehabilitation monitoring system designing for robot-aided neurorehabilitation are also given, which has been laid a good foundation for the subsequent research.Secondly, wearable sensor nodes for electrocardiogram (ECG), electromyography (EMG), skin resistance and body-temperature parameters were designed based on the Crossbow IRIS hardware platform and TinyOS operating system. Multiple physiological parameter network monitoring system was then constructed using ZigBee technology, and human-computer interaction graphical user interface was designed using Visual Studio and NI Measurement Studio.Another, in order to verify the effectiveness and reliability of the implemented monitoringsystem, several participants were enrolled and different physiological parameters were detected by evoking several kinds of emotion state. Emotion recognition results based on the detected multiple parameters demonstrate that the designed system is reliable and practicable.Finally, some conclusions and shortcoming were given, and future research and task were also presented.Key words：Wireless body area