Extraction method of electrocardiosignal R waves

Abstract

Provided is an extraction method of electrocardiosignal R waves. Electrocardiosignals in scheduled time T are obtained, lowpass filtering preprocessing is carried out on the electrocardiosignals, then a first R wave is extracted from the filtered electrocardiosignals, the electrocardiosignal section where the first R wave is located serves as an initial template, then dual threshold comparison and thickness matching calculation are carried out on the obtained electrocardiosignals, and other R waves in the scheduled time T are extracted. The extraction method has the advantages that the lowpass filtering, double threshold comparison and thickness matching calculation are carried out on the obtained electrocardiosignals, accuracy of electrocardiosignal R wave extraction is increased, and mistaken checking and missing inspection situations cannot occur; the calculated amount is small, common electrocardiosignal interference such as baseline shifting, R-R interphase differing, high-frequency interference and the like can be well avoided, capacity of resisting disturbance is high, the obtained electrocardiosignal R waves are visual and vivid, and diagnosis effects are good.

Description

technical field [0001] The invention relates to the technical field of medical equipment, in particular to a method for extracting R waves of electrocardiographic signals. Background technique [0002] The QRS wave is the main feature of the ECG (Eletrocardiogram) signal, so the most important thing in the Indian signal is to detect the QRS wave. This is because only after the QRS complex is determined can the heart rate be calculated, heart rate variability detected, and other details of the ECG signal further detected. At present, there are several detection methods for R wave detection: difference method, filter bank method, wavelet transform method, etc. The difference method has the advantages of small amount of calculation for intuitive image, but weak anti-interference ability; the filter bank method has the advantages of small amount of calculation and strong anti-interference ability, but there are often false detections and missed detections; The extraction effec...

AI Technical Summary

Problems solved by technology

The difference method has the advantages of small amount of calculation for intuitive image, but weak anti-interference ability; the filter bank method has the advantages of small amount of calculation and strong anti-interference ability, but there are often false detections and missed detections; The extraction effect is very good, but the operation is large and the operation is complicated

[0003] Therefore, there is a need for an extraction method that can overcome defects such as weak anti-interference ability, low accuracy, large amount of calculation, and complex calculation

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