Method and device for eliminating exercise electrocardiosignal interference

Abstract

The invention relates to a method and a device for eliminating exercise electrocardiosignal interference. The method includes the following steps: collecting exercise electrocardiosignals and exercise reference signals; carrying out amplification and lowpass filtering on fixed gain of collected exercise electrocardiosignals; carrying out analog-digital conversion on amplified and lowpass filtered exercise electrocardiosignals and obtaining digital exercise electrocardiosignals; judging exercise interference degree of the digital exercise electrocardiosignals, and obtaining the exercise interference degree; carrying out self-adaptive elimination on the exercise electrocardiosignals and the exercise reference signals according to the exercise interference degree, and obtaining the exercise electrocardiosignals without interference. According to the method and the device, even when the exercise interference degree is very high, good exercise electrocardiosignals can still be obtained through offset of the exercise electrocardiosignals and the exercise reference signals, and accuracy and stability of eliminating exercise electrocardiosignal interference are improved.

Description

technical field [0001] The invention relates to a method and a device for eliminating the interference of electrocardiographic signals, in particular to a method and a device for eliminating the interference of electrocardiographic signals during exercise. Background technique [0002] At present, the ST segment of the exercise ECG waveform is an important indicator for evaluating the cardiac exercise load, so it is extremely important to reduce the distortion of the ST segment of the exercise ECG waveform during the exercise ECG measurement process. There are two typical exercise ECG data measurement schemes. The first exercise measurement scheme is flat walking or running. The advantage is that everyone can do it. The disadvantage is that the subjects need to keep walking or running, resulting in the collected The baseline of the ECG waveform fluctuates greatly, and sometimes it is even difficult to identify the ST segment of the ECG waveform. The second exercise measurem...

AI Technical Summary

Problems solved by technology

There are two typical exercise ECG data measurement schemes. The first exercise measurement scheme is flat walking or running. The advantage is that everyone can do it. The disadvantage is that the subjects need to keep walking or running, resulting in the collected The baseline of the ECG waveform fluctuates greatly, and sometimes it is even difficult to identify the ST segment of the ECG waveform

The second exercise measurement scheme is cycling exercise. The advantage of the treadmill exercise scheme is that the upper body of the subject can be relatively stable, so the baseline of the monitored ECG waveform is relatively stable. The disadvantage is that the lower limbs of people who do not know how to ride a bicycle will quickly fatigue , the overall amount of exercise is insufficient, and the target heart rate cannot be reached

However, due to the interference signal caused by human body movement, its frequency is not fixed, and its highest frequency can easily exceed the cut-off frequency of the high-pass filter, resulting in poor filtering effect of the high-pass filter on the interference signal, and cannot effectively filter out the exercise ECG. The baseline drift in the waveform, and the digital filter with too high cut-off frequency will also cause severe distortion of the ST segment of the exercise ECG waveform, which will further lead to a large deviation in the ST segment waveform shape and amplitude as the evaluation index; The effect of exercise is poor. During the exercise ECG measurement process, the subjects exercise violently, and the exercise ECG signal waveform drifts up and down greatly. If a digital filter with a low cut-off frequency is used, the baseline in the exercise ECG waveform cannot be filtered out. If the digital filter with a higher cut-off frequency is used, the ST segment of the ECG waveform will be distorted, which will affect the subsequent ST segment analysis and make the analysis results larger. deviation

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