Research on key technologies of ECG monitoring system based on Internet of things
心电医疗监护物联网关键技术研究*

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 low-power adaptive clustering routing protocol LEACH-SC algorithm. LEACH-SC algorithm could optimize the distribution of cluster 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%.