Electrocardiosignal noise analysis method

Abstract

The invention discloses an electrocardiosignal noise analysis method comprising the following steps of: (1) calculating a noise index for reflecting the noise level near an R wave in each cardiac beat period of an electrocardiosignal; (2) setting a noise index threshold value; (3) comparing the calculated noise index with the noise index threshold value and carrying out statistics on comparison results of continuous N cardiac beats; and (4) classifying the noise level according to the comparison results and dividing noise grades. The invention has a simple analysis process, low computational burden, good real-time performance and an accurate result; through electrocardiograph (ECG) noise analysis result, medical workers can carry out necessary treatment to suppress interference and can know the reliability of a diagnosis result, further more accurately and effectively helping the medical workers diagnose and treat patients, thereby avoiding that a wrong diagnosis result makes the medical workers carry out wrong handling so that unnecessary spiritual damage and economic losses are brought to the patients.

Description

technical field [0001] The invention relates to a signal processing and separation method, in particular to a noise analysis method of an electrocardiographic signal (ECG). Background technique [0002] The electrocardiogram reflects the electrical activity process of the heart's excitement, and it has important reference value for the basic function and pathological research of the heart. The electrocardiogram can analyze and identify various arrhythmias, and can also reflect the degree of myocardial damage and the functional structure of the atrium and ventricles. It has reference value in guiding cardiac surgery and indicating necessary drug treatment. However, ECG signals are often disturbed by noise, artifacts and missing data, resulting in errors in heart rate calculation and arrhythmia analysis, affecting the treatment of medical staff, and even endangering the lives of patients. In order to ensure the accuracy of monitoring results in modern ECG monitoring, designer...

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Problems solved by technology

[0004] There are relatively few signal quality assessment techniques at present. G.B.Moody, J.Allen, J.Y.wang, etc. have all evaluated the noise level of ECG signals, but these studies are based on the trend analysis of a long signal. Quality evaluation, unable to get real-time signal quality index

In his doctoral dissertation, Li Qiao proposed the idea of ​​determining the quality of ECG signals by comparing the results of QRS recognition algorithms with different sensitivities to interference, and integrated multi-lead synchronous analysis and comparison, signal kurtosis analysis and signal power spectrum. The ECG signal quality index was derived by analysis and other methods. Since it uses four different signal quality indexes to comprehensively evaluate the noise level, the calculation is more complicated and not convenient enough.

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