Electrocardiogram data real-time analysis and diagnosis early-warning cloud system

Abstract

The invention discloses an electrocardiogram data real-time analysis and diagnosis early-warning cloud system. The electrocardiogram data real-time analysis and diagnosis early-warning cloud system comprises an electrocardiogram data collecting terminal, an external device, a web-based user interactive interface, a back-end core server group, and an electrocardiogram diagnosis algorithm. The electrocardiogram data collecting terminal mainly comprises three devices of a Holter, a wireless electrocardiogram patch and an electrocardiogram bracelet and is used for collecting physiological parameters of the human body; the external device is connected with the electrocardiogram data collecting terminal, and receives electrocardiogram data and then transmits the electrocardiogram data to the back-end core server group; the web-based user interactive interface is composed of three parts of a patient end, a doctor end and an administrator end, sends an operation request to the back-end core server group and receives and displays response data; the back-end core server group is composed of a plurality of functional processing servers and used for receiving, forwarding and persistent storageof the electrocardiogram data; and the electrocardiogram diagnosis algorithm mainly comprises a deep learning algorithm, a wavelet analysis algorithm and a morphological analysis algorithm, and is used for diagnosis of the electrocardiogram data.

Description

Technical field [0001] The invention relates to the field of ECG data diagnosis platforms, and more specifically, to a real-time analysis and diagnosis early warning cloud system for ECG data. Background technique [0002] Cardiovascular disease is the disease with the highest morbidity and mortality in my country and even in the world. About 3.5 million people die from cardiovascular diseases in my country each year, ranking first among all deaths due to diseases, far higher than tumors and other diseases. There are as many as 290 million people suffering from cardiovascular disease in the country. One out of every five adults suffers from cardiovascular disease, and one person dies of cardiovascular disease approximately every 9 seconds. The incidence and death toll of sudden cardiac death in my country ranks first in the world. [0003] As the population ages and people pay more and more attention to health, especially the necessity of cardiovascular disease has become increas...

AI Technical Summary

Problems solved by technology

[0007] The present invention aims at the low comfort and poor portability of conventional ECG detectors used by patients at present, and the operation of medical staff is complicated. The commonly used remote ECG event monitoring platform based on cloud storage has no built-in diagnostic algorithm, and the early warning work requires professional doctors to observe the heart rate. Manual early warning after electrocardiographic data, most of the portable medical equipment has a single function and simple function, and the portable wearable electrocardiograph only has the function of collecting electrocardiographic data, which is not convenient for the storage, calculation and analysis of electrocardiographic data. A cloud system for real-time analysis, diagnosis and early warning of ECG data, which takes into account the requirements of portable wearable ECG acquisition terminal and ECG big data storage, and can deeply mine user's ECG data to realize real-time analysis, diagnosis and early warning of ECG data

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