Electrocardiosignal quality evaluation method

Abstract

The embodiment of the invention relates to an electrocardiosignal quality evaluation method. The electrocardiosignal quality evaluation method comprises the following steps: receiving electrocardiogram monitoring data output to electrocardiogram monitoring equipment, and processing to obtain heart beat analysis data; extracting positional information and width information of a QRS wave group in the heart beat analysis data; extracting an RR interval signal between two adjacent QRS wave group signals; carrying out QRS wave group signal removal processing on the RR interval signal, so as to obtain the RR interval signal with the QRS wave group signal removed; carrying out filtering processing on the RR interval signal with the QRS wave group signal removed, and carrying out envelope computation on the signal subjected to the filtering processing, thus obtaining the average power of a noise signal of the RR interval signal with the QRS wave group signal removed; and obtaining signal equality evaluation according to the average power of the noise signal and power of the QRS wave group signal. By virtue of the method, electrocardiogram detection signal quality can be accurately estimated, and accurate and effective signal quality evaluation is provided for automatic analysis of electrocardiogram.

Description

technical field [0001] The invention relates to the technical field of signal analysis, in particular to a method for evaluating the quality of electrocardiographic signals. Background technique [0002] In 1908, Einthoven began to use electrocardiography (ECG) to monitor the electrophysiological activity of the heart. At present, non-invasive electrocardiography has become one of the important methods for the diagnosis and screening of heart diseases in the clinical cardiovascular field. According to the clinical application, electrocardiogram can be divided into several categories: static electrocardiogram, dynamic electrocardiogram, and exercise electrocardiogram. [0003] ECG monitoring is an important measure for the observation, diagnosis and treatment of cardiovascular patients. It can monitor the presence or absence of arrhythmia and heart beat frequency in real time, and take timely and effective measures according to the ECG activity. Although most dynamic ECG ana...

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Problems solved by technology

It is difficult to obtain a real estimate of cardiac activity under various pathological conditions by judging the time characteristics of the QRS sequence, and the power spectrum judgment method based on the entire signal is based on the frequency characteristics, but due to a large amount of noise spectrum and QRS The frequency of the complex signal itself has overlap, and this judgment method is easily affected by heart rate and pathological QRS waveform

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