Judgment index generation method and device for cardiac interference signal identification

Abstract

The invention discloses a method for generating a judge index for electrocardio interference signal recognition, comprising A1. acquiring an electrocardio signal to obtain an electrocardio signal data sequence; B1. grouping the data sequence in certain time period and counting the minimum value in each group; D1. looking up the minimum value and the maximum value in the minimum value set composed of looked-up minimum values in each group; E1. recognizing the low-frequency interference and the irregular interference by the difference of the maximum value and the minimum value looked up in the step D1 as a first baseline drift judge index. The invention detects existing noise based on objective, and generates a reasonable judge index based on the existing noise, so that the interference can be effectively recognized, thereby improving the reliability of electrocardio signal analysis result.

Description

【Technical field】 [0001] The invention relates to a processing of electrocardiographic signals, in particular to a method and a device for generating judgment indexes for identifying electrocardiographic interference signals. 【Background technique】 [0002] The ECG signal is the performance of the heart's electrical activity on the human body surface. The signal is generally weak, with an amplitude of 10 μV to 5 mV and a frequency of 0.05 to 100 Hz. During the measurement of the ECG signal, various noises and interferences will be introduced. These noises and interferences mainly include the following types: [0003] (1) Baseline drift: There are many factors that cause baseline drift, including human factors and instrument factors. Such as human breathing, impedance between electrodes and human skin, disturbance caused by body position movement, thermal noise of amplifier, etc.; [0004] (2) High-frequency interference generated by myoelectricity and electronic equipment...

AI Technical Summary

Problems solved by technology

[0005] (3) Electrode contact noise is transient interference caused by poor contact between the electrode and the skin or the detachment of the measured object from the measurement system

Method 2 has been less researched, and a rough judgment is given by the method of zero-crossing detection and variance calculation, but it is basically only suitable for regular high-frequency noise and depends on the stable and reliable detection of QRS waves. The actual application environment have relatively large limitations

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