Long-distance monitoring and diagnosis system and processing method of single-guide heart paste data

Abstract

The invention discloses a long-distance monitoring and diagnosis system and a processing method for single-guide heart paste data. The system includes a collection terminal, a client and a server; The terminal is used to preprocess the obtained long-term dynamic ECG data, and send the preprocessed ECG signal data to the server, and display the ECG analysis report received from the server to the user; the server: for Draw the ECG scatter diagram according to the obtained ECG signal data, input the ECG scatter diagram to the convolutional neural network model, calculate the classification results of the ECG scatter diagram, form an ECG analysis report and send it to the client. The present invention uses the convolutional neural network model to analyze the collected user's electrocardiogram data on the scatter diagram drawn by the user's electrocardiogram data, which effectively improves the analysis speed of dynamic electrocardiogram and improves the accuracy of diagnosis, and saves the time and cost of electrocardiographic diagnosis physicians. time and reduce the misdiagnosis rate.

Description

technical field [0001] The invention relates to the technical field of medical electronic equipment, in particular to a long-distance monitoring and diagnosis system for single-guided heart sticker data and a processing method thereof. Background technique [0002] Cardiovascular disease is a major threat to human health. According to authoritative surveys, the number of people who die from cardiovascular disease accounts for about one-third of the total number of human deaths every year. [0003] The electrocardiogram is a medical examination method used to observe the electrical activity of the human heart, and is widely used in medical scenarios such as disease diagnosis and intensive care. In routine diagnosis, 12-lead static electrocardiogram is usually performed. This method plays a decisive role in the diagnosis of cardiovascular diseases clinically. However, this method is only a single inspection, and the acquisition time is only tens of seconds. For some arrhythm...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problems of difficulty in manual analysis of long-term ambulatory electrocardiograms and high work intensity in the prior art, a long-term monitoring and diagnosis system and its processing method for single-lead heart sticking data are proposed here, which are applied to artificial intelligence technology. Significantly improved the speed and accuracy of diagnosis

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