Method and system for performing superposition analysis on exercise load electrocardio waveforms

Abstract

The invention discloses a method for performing superposition analysis on electrocardio data of any time segment. The method comprises the following steps of: selecting any segment of representative waveforms from an electrocardiogram; reading electrocardio data and waveform information in the time period; superposing the waveform of each heart beat in the time period and analyzing the waveform type of the superposed waveforms, the forward voltage and the negative voltage of a P wave, the voltage of a Q wave, an R wave and an S wave, the average voltage of an ST segment, the forward voltage and the negative voltage of a T wave, the time limit of the P wave, the Q wave, the R wave, the S wave and the T wave, a QT interval and other data; and providing a human-computer interaction interface, displaying an analysis result obtained after waveforms are superposed, and allowing a user to perform manual intervention on the analysis result. The application scope of an exercise load test is broadened, the accuracy of the test result is improved, and the diagnostic report has higher reference value.

Description

Technical field [0001] The invention relates to the field of exercise load electrocardiogram analysis, in particular to a design method and system for waveform superposition analysis technology that can select any time period. Background technique [0002] ECG exercise test is the most commonly used ECG stress test, so it is also called exercise stress test. It is currently the most commonly used auxiliary method for diagnosing coronary heart disease. In many patients with coronary heart disease, although the maximum reserve capacity of coronary artery dilatation has been reduced, the coronary blood flow can be maintained at rest normally without myocardial ischemia, and the electrocardiogram can be completely normal. In order to reveal the reduced or relatively fixed coronary blood flow, exercise or other methods can be used to load the heart, increase myocardial oxygen consumption, induce myocardial ischemia, and assist clinical diagnosis of myocardial ischemia. This kind of t...

AI Technical Summary

Problems solved by technology

[0013] 2. Unstable angina;

[0017] 6. Main coronary artery stenosis;

Although there are various technologies that can reduce the impact of these interferences on the ECG, they still cannot be eradicated

[0027] During the exercise stress test, the patient's heart rate will show a wide range of changes in a short period of time, so it is extremely difficult to use a fixed standard to identify the waveform shape of the ECG throughout the test

The current waveform recognition technology can only distinguish the QRS complex and T wave in the exercise electrocardiogram, and it is extremely difficult to recognize the P wave shape, which is still in the research stage

There is a lack of strong diagnostic basis for various heart diseases caused by abnormal P waves, which greatly limits the scope of use of exercise stress tests and also affects the accuracy of test results.

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