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目前的心电监护平台使用传感器在设备与病人之间直接进行数据采集,复杂的线路连接使病人心电信号采集时产生压力,数据采集的准确率较低;提出基于ZigBee的心电监护网络平台构建方法,设计了网络中的功能部件与结构方案,采用ARM芯片构造监控平台的核心处理器与外围的数据调理电路,在嵌入式系统中装载了心电信号分析处理算法,实验结果证明,在病人随机走动的情况下,病人的定位误差与数据的采集误差都能保持在相对误差为0.003附近,距离增加也不会出现大幅波动,平台的数据采集准确率高达98.6%,具有很强的实用性。
The current ECG monitoring platform uses sensors to directly collect data between the device and the patient. The complicated circuit connection causes pressure to be collected by the patient’s ECG signal, and the accuracy of data collection is low. A ZigBee-based ECG monitoring network platform Builds the method, designs the function part and the structure plan in the network, constructs the core processor of the monitoring platform and the data conditioning circuit of the periphery with ARM chip, the algorithm of electrocardiosignal analysis and processing is loaded in the embedded system. The experimental result proves, Patient walking randomly under the circumstances, the patient’s positioning error and data collection errors can be maintained at a relative error of 0.003 in the vicinity, the increase will not be a significant fluctuations in the platform data acquisition accuracy up to 98.6%, has a strong practical Sex.