中圖分類號(hào)： TP391
文獻(xiàn)標(biāo)識(shí)碼： A
DOI： 10.19358/j.issn.2096-5133.2021.07.018
引用格式： 甄鵬華,，韓玉冰. 基于邊緣智能的心電信號(hào)處理方法及監(jiān)測(cè)系統(tǒng)[J].信息技術(shù)與網(wǎng)絡(luò)安全,，2021，40(7)：108-115.

Electrocardio signal processing and monitoring system based on edge intelligence

Abstract： Edge Intelligence(EI) is the product of the combination of Edge Computing(EC) and Artificial Intelligence(AI). Its characteristics make it particularly suitable for real-time electrocardio signal analysis. The electrocardio signal can reflect the human body′s heart rate and other physiological information,，through the analysis of the electrocardio signal and the classification of the heartbeat, it can be detected whether the human body suffers from arrhythmia and other diseases. However, the traditional electrocardio signal classification research is only for a large number of samples, so it is not suitable for the edge intelligence scene of real-time small sample analysis. This paper proposes a feasible electrocardio signal processing method and designs an electrocardio monitoring system based on edge intelligence. Experimental results show that the electrocardio signal processing method has a certain practicability and can meet the requirements of edge intelligent scenes to a certain extent.

Key words : edge intelligence,；electrocardio signal；neural network,；system simulation