%0 Journal Article
%T 基于心音心电信号的心衰分析系统<br>Heart Failure Analysis System Based on Heart Sound ECG Signal
%A 李俊杰
%A 杨思誉
%A 岳星宇
%J Software Engineering and Applications
%P 81-90
%@ 2325-2278
%D 2022
%I Hans Publishing
%R 10.12677/SEA.2022.111010
%X 心音信号和心电信号作为常见的生理信号，在临床上被广泛用于心脏疾病的预防、诊断和长期检测。针对心衰的监测和诊断，目前现有的传统诊断方式较为不便，因此本文设计了一种基于心音心电信号的心衰分析系统。本系统的生理信号采集装置以STM32L432KBU6为主控制器，以ADS1292R为模拟前端采集心电信号，以驻极体麦克风采集心音信号。然后通过蓝牙连接手机，由手机应用软件显示同步心音心电信号并且上传至云平台，实现远程实时监护。云平台上部署的多模态深度神经网对其进行心衰分析。本系统使用简单，且有较高的心衰分类准确率，极大方便了家庭个人使用，同时也能在一定程度上提高医护人员的工作效率。<br />
As common physiological signals, heart sound signal and ECG signal are widely used in clinical prevention, diagnosis and long-term detection of heart disease. For the monitoring and diagnosis of heart failure, the existing traditional diagnosis methods are inconvenient, so this paper designs a heart failure analysis system based on heart sound ECG signal. The physiological signal acquisition device of the system uses STM32L432KBU6 as the main controller, ADS1292R as the analog front end to collect the ECG signal, and electret microphone to collect the heart sound signal; then connects the mobile phone through Bluetooth, the mobile phone application software displays the synchronous heart sound ECG signal and uploads it to the cloud platform, realizing remote real-time monitoring. The multimodal deep neural network deployed on the cloud platform was used for heart failure analysis. This system is simple to use, and has a high classification accuracy of heart failure, greatly convenient for family personal use, also can improve the work efficiency of medical staff to a certain extent.
%K 心音心电，ADS1292R，STM32L432KBU6，蓝牙，心衰，多模态神经网络<br>ECG-PCG
%K ADS1292R
%K STM32L432KBU6
%K Bluetooth
%K Heart Failure
%K Multimodal Neural Network
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=48567