Wearable electrocardiogram monitoring and arrhythmia remote real-time diagnosis device for multiple scenes

Abstract

The invention discloses a wearable electrocardiogram monitoring and arrhythmia remote real-time diagnosis device for multiple scenes. The device includes a front-end acquisition module, an MCU signalreceiving and displaying module, and a cloud server; the front-end acquisition module is wearable and includes a flexible fabric electrode sheet, an information acquisition module and a bluetooth sending module, ECG data are sent to a microprocessor unit in real time through a bluetooth slave module, the flexible fabric electrode sheet includes a flexible fabric electrode and a lead wire, the information acquisition module uses a BM101 electrocardiogram acquisition module, the BM101 electrocardiogram acquisition module can be embedded in an elastic vest, the bluetooth sending module is poweredby a lithium button battery, and a bluetooth slave is installed to send signals to the MCU signal receiving and displaying client module in real time; the MCU signal receiving and displaying client module is responsible for receiving and collecting front-end electrocardiogram data and realizing filter processing and displaying an electrocardiogram, and at the same time, the MCU signal receiving and displaying client module receives server-side disease diagnosis results and shows the results; and the cloud server assists the diagnosis module to use deep SE-Res learning for disease diagnosis, and has stronger robustness and generalization ability.

Description

Technical field [0001] The present invention relates to the technical field of ECG monitoring, in particular to a wearable ECG monitoring and arrhythmia remote real-time diagnosis device oriented to multiple scenarios. Background technique [0002] The number of people suffering from Cardiovascular Diseases (CVD) in China is as high as 290 million, and the prevalence and mortality are increasing year by year. Among patients with cardiovascular diseases, more than 80% of cardiovascular patients are complicated by arrhythmia, which can easily cause malignant events such as stroke and sudden cardiac death. Electrocardiogram (ECG) is not only a powerful tool for routine cardiovascular disease examinations, but also an essential monitoring device in the intensive care unit. Wearable Holter devices can realize automatic collection of ECG signals in a variety of scenarios and remote intelligent assistance in disease prediction and diagnosis without affecting people’s daily work and lif...

AI Technical Summary

Problems solved by technology

For example, the Mi bracelet can monitor the basic health status of users and conduct HRV analysis based on heart rate, but it does not conduct in-depth analysis of ECG and intelligent auxiliary diagnosis of various arrhythmias. This product belongs to the level of health monitoring

In 2017, Google released a wearable ECG device, which completed the design of the multi-lead wearable ECG front-end, but did not realize real-time signal storage, analysis, adaptive intelligent diagnosis and health status tracking for multiple patients

[0018] Through the analysis of the existing technology, it is found that the existing technology has limited real-time performance, limited application occasions, intelligent diagnostic methods, and limited adaptive and personalized diagnosis and treatment capabilities for specific patients.

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