Research On Motor Functional Rehabilitation Monitoring System Based On Wireless Body Area Network

As aging population is increasing all around the world, stroke patients with body motorfunctional dysfunction make a dramatic increment. Recent researches show that intensive andrepetitive rehabilitation training can decrease the recovery time and achieve the optimalrehabilitation outcomes. During the training process, health state and physical recovery conditionfor stroke patients must be real-time monitored so as to make instructions for training modes andtherapy control methods. In order to solve the insufficience of real-time problems in traditionalways, a monitoring system for rehabilitating training based on wireless body area network isdesigned, which includes:Firstly, according to the characteristics of this system, electrocardiogram, electromyography andpulse parameters were detected using the designed sensor nodes. Multi-physiological parametersinformation is transmitted by means of wireless body area network constructed on Crossbowhardware platform and TinyOS operating system.Secondly, in order to meet the needs of real-time monitoring, a high-performance ARM9andembedded Linux OS are selected for this system, real-time physiological parameters profiles aredisplayed via graphical user interface.Another, remote monitoring system is designed by VC++using C/S architecture. The server isdesigned for physicians to access the state of patients and perform data analysis, which includesdata receive, data storage, data analysis function and feature extraction. And the Client monitoringsoftware is designed to provide a simple and friendly management interface, completing the issuingof user control instructions and displaying of monitoring information and other tasks.Finally, several health participants were recruited and the discussed multi-physiological signalsare real-time acquired and analyzed. Experimental results verify the effectiveness of the proposedmonitoring system, and the measured multi-physiological parameters can be potentially used toremotely and continuously monitor and assess of stroke rehabilitation process.