Electrocardiosignal quality identification method and electrocardiogram analysis method

Abstract

The invention discloses an electrocardiosignal quality identification method. The electrocardiosignal quality identification method comprises the steps of S1, acquiring original electrocardiogram waveform amplitude data; S2, carrying out fragment segmentation on the electrocardiosignal by taking 1 second as a unit; S3, taking out the maximum value and the minimum value of the amplitude of each fragment to form an envelope point, and comparing all the envelope points so as to obtain envelope difference; S4, acquiring the amplitude variance yield of each segmentation section; S5, converting a time domain signal of an electrocardiogram fragment signal into a frequency domain signal, namely a power spectrum signal by utilizing fast Fourier transform, and integrating the amplitude of 1-5 Hz soas to obtain the power; S6, after acquiring a power spectrum signal of the electrocardiogram fragment signal in the step S5, integrating the amplitude of 5-40 Hz and the amplitude of 40-100 Hz separately so as to obtain the corresponding power, and calculating the signal-to-noise ratio of the two kinds of power; and S7, grading the quality of the electrocardiogram waveform according to the parameter envelope difference, the variance yields, the power of the signals with 1-5 Hz and the qualified condition of the signal-to-noise ratio.

Description

technical field [0001] The invention relates to a method for identifying the quality of an electrocardiogram signal, in particular to a method for identifying the quality of an electrocardiogram signal and a method for analyzing the electrocardiogram. Background technique [0002] When measuring ECG in the field of ECG detection, the quality of the ECG signal is the premise of effective ECG analysis. The ECG signal with poor signal quality will mislead the ECG analysis, especially in single-lead portable ECG acquisition. Prominent, because single-lead portable ECG acquisition has sudden waveform jitter, motion artifacts, and noise such as large power frequency interference. [0003] In order to realize the correct analysis and diagnosis of ECG, the quality of ECG waveform must be good. Excessive noise and large jitter will lead to poor accuracy of ECG automatic analysis and judgment, and false detection and missed detection will occur. In order to take into account the adva...

AI Technical Summary

Problems solved by technology

[0002] When measuring ECG in the field of ECG detection, the quality of ECG signal is the prerequisite for effective analysis of ECG. ECG signal with poor signal quality will mislead ECG analysis, especially in single-lead portable ECG acquisition. Prominent, because the single-lead portable ECG acquisition has sudden waveform jitter, motion artifacts, and easy introduction of noise such as large power frequency interference

[0003] In order to realize the correct analysis and diagnosis of ECG, the quality of ECG waveform must be good. Excessive noise and large jitter will lead to the deterioration of the accuracy of ECG automatic analysis and judgment, and the occurrence of false detection and missed detection.

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