基于WBAN的智能康复监测护理系统设计和实现

针对传统生理参数监测的不足，基于无线体域网（WBAN）设计并实现了用于康复训练的智能康复监测护理系统。本文首先根据人体生理信号检测原理检测人体的心电、皮肤电阻、脉搏和体温信号，然后通过Crossbow无线传感器网络平台将检测到的数据实时传输到上位机，最后在上位机监控软件上实现对患者的生理信号实时显示和监控。文中详细介绍了系统的软、硬件设计，并对实验结果进行了处理和分析，实验结果表明该系统能对患者的生理状态进行实时监测。

Physiological parameters detecting and motoring system design for rehabilitation training based on WBAN

A physiological parameters detecting and motoring system based on wireless body area network (WBAN) is designed to solve the disadvantages existed in traditional physiological parameter monitoring system. Firstly, electrocardiogram (ECG), pulse, skin resistance and body-temperature parameters are detected using the designed sensor nodes. Then, multi-physiological parameters information is transmitted by means of WBAN constructed on the Crossbow wireless sensor network platform. Finally, real-time physiological parameters profiles are displayed via graphical user interface. Experiments conducted on health subjects show that the system presented in this study can real-time monitor human psychological parameters.