Dynamic electrocardiogram analysis intelligent diagnosis system and method

Abstract

The invention provides a dynamic electrocardiogram analysis intelligent diagnosis system and a method. The dynamic electrocardiogram analysis intelligent diagnosis system comprises a database module, a template module, and an analysis module; the database module is used for storing electrocardio data of a human body detected through multiple leads and basic information of the detected human body; the template module is used for defining multiple case templates according to different symptoms, and every case template has multiple constant parameter values; the analysis module is used for performing intelligent full-leading analysis on the detected electrocardio data, acquiring multiple input variable values and then comparing every input variable value with a constant parameter value corresponding to every case template; if every operation result in one case template is real, a text conclusion is output, and then an electrocardio diagnosis report is generated through the text conclusion. The dynamic electrocardiogram analysis intelligent diagnosis system and the method have the advantages of greatly improving the diagnosis speed, reducing labor intensity of a doctor, improving the accuracy of the diagnosis conclusion, and reducing the omission of the diagnosis conclusion.

Description

technical field [0001] The invention relates to the technical field of electrocardiograms, in particular to an intelligent diagnosis system and method for dynamic electrocardiogram analysis. Background technique [0002] Today, electrocardiogram examination is one of the four routine examinations in clinical and physical examination. Because the ECG examination is non-destructive, simple and fast, it has been widely used clinically and has become one of the most important means of diagnosing cardiovascular diseases. It plays an important role in the diagnosis of heart rate variability, myocardial ischemia, myocardial infarction, etc. However, due to the wide variety and great variation of pathological ECG, the ECG of different patients with the same pathology and even the ECG of the same patient themselves are very different. To make an accurate judgment usually requires a doctor to have a wealth of knowledge and accumulation. Extensive clinical experience. In addition, el...

AI Technical Summary

Problems solved by technology

However, due to the wide variety and great variation of pathological ECG, the ECG of different patients with the same pathology and even the ECG of the same patient themselves are very different. To make an accurate judgment usually requires a doctor to have a wealth of knowledge and accumulation. extensive clinical experience

In addition, electrocardiograms, especially ambulatory electrocardiograms, take a long time to monitor and have a large amount of data. Doctors cannot check ECG waveforms one by one; and if doctors have been engaged in the recognition of a large number of graphics for a long time, they are very prone to fatigue, missed detection and errors.

At present, ECG diagnosis reports are generally manually edited by doctors. In order to liberate medical staff from the heavy and boring processing of massive ECG data, it is urgent to develop an intelligent diagnosis system for ECG analysis.

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