心电医疗监护物联网关键技术研究

Research on key technologies of ECG monitoring system based on Internet of things

针对物联网技术的发展,进行了心电医疗监护物联网感知层传感器节点软硬件设计,完成了基于NesC语言的组件结构化软件设计。在经典聚类路由协议LEACH之上提出了一种适用于心电医疗监护物联网感知层的改进型LEACH-SC算法,将感知层内簇头的分布进行优化,平衡簇的规模,在一定程度上解决簇头分布不均匀的问题。为保证心电医疗监护物联网应用层实时准确的心电诊断,提出了一种基于小波变换、希尔伯特变换和改进包络对心电信号进行变换的检测算法,实现了对QRS波群具体形态和位置的检测和识别,在检测到QRS波的基础上采用检测准则和策略对P波和T波进行了检测。实验结果表明,基于物联网技术的心电医疗监护系统能够完成心电的实时监测和诊断,LEACH-SC算法优化了感知层传感器节点成簇的选择,能量消耗达到了全局平衡,增加了物联网感知层传感器网络的生存周期,心电检测算法经MATLAB仿真与MIT-BIH数据库标注比较,误检率为0.89%。

Whilst developing the Internet of things,wireless sensor network technologies provide the technological framework. This paper proposed ECG monitoring system on Internet of things for the realtime monitoring of the physiological parameter,presented HW /SW design of sensor network node at the sensing layer. The sensor network node software was programmed in the NesC language based on the component concept. According to ECG features on Internet of things,presented a novel lowpower adaptive clustering routing protocol LEACH-SC algorithm. LEACH-SC algorithm could optimize the distribution of clus-ter heads,balance the scale of clusters and solve the uneven distribution of cluster heads. Presented realtime automatic ECG diagnosis method by use of Hilbert transform and wavelet transform. Proposed a series of detection algorithms and new methods. Described detection of QRS complexes,the P waves and the T waves. The experiment results show that ECG monitoring system can work properly. LEACH-SC algorithm achieves the global balance of energy consumption and increases the overall network lifetime. MATLAB simulation results are compared with the annotation of MIT-BIH arrhythmia database. The false discovery rate is 0. 89%.