摘要
基于ZigBee技术,采用脉搏、ECG和SpO_2等微型传感器,感知人体生理信号;利用多变量自回归模型进行算法处理和数据融合,提高信号的可靠性和准确度;通过ZigBee无线网络,将信号传送到终端设备,开发一种对人体的心率、脉搏和血压进行同时、实时、随时监测系统,由此诊断人体的健康状况。实验表明,该平台性能稳定,在数据采集和传输等方面均达到了设计要求。
Pulse sensors, ECG sensors and SpO2 sensors are used to collect body signals based on ZigBee. A multivariate autoregressive（MAR） model based on sensor fusion technology is developed in this work to improve the reliability and accuracy of signals. Signals are transmitted to PDA, cellphone and PC by ZigBee wireless network, in which way human conditions are monitored constantly. Doctors can diagnose people＇ s health according to the signals. Experiment shows that the platform is quite stable and can reach the design requirements in real-time data acquisition and remote transmission.
出处
《测控技术》
CSCD
北大核心
2012年第7期10-12,共3页
Measurement & Control Technology
基金
南京信息工程大学2011年度大学生科技创新基金校级立项重点资助项目(2011KPT-XX025)
