Method and device for real-time detection of moving electrocardiosignal QRS (magnetic resonance angiography) waves

Abstract

The invention discloses a method and a device for real-time detection of moving electrocardiosignal QRS (magnetic resonance angiography) waves. The method includes steps: performing four-point smoothing to electrocardiosignal data, subtracting a baseline by the smoothed data, and then performing square processing to the data in order to obtain a data sequence S; respectively performing first difference and second difference operations of the data sequence S to obtain data sequences D and E respectively; picking a certain amount of data from the data sequences D and E for calculating initial threshold values respectively, and updating the threshold values regularly; calculating and marking a second difference minimum value point meeting conditions of the threshold values as an R-type wave point; detecting a Q-type wave and an S-type wave near the R-type wave point, and excluding false detected QRS waves according to waveform features of the QRS waves; and finding a real R wave point in the electrocardiosignal data. By the aid of the method and the device, the QRS waves can be detected on a mobile device quickly and efficiently in real time.

Description

technical field [0001] The invention relates to the transmission and processing of mobile electrocardiographic signals, in particular to a method and device for real-time QRS wave detection of mobile electrocardiographic signals. Background technique [0002] Cardiovascular disease has become one of the main diseases that endanger human health. Cardiovascular disease has the characteristics of hidden disease, slow development, high risk of incidence, irregularity and unpredictability. Most of the traditional ECG detection equipment is owned by medical institutions. They have defects such as complicated operation, expensive equipment, and low flexibility, which can no longer fully meet the various needs of modern ECG signal detection. In recent years, the use of portable devices such as PDAs, mobile phones and other mobile platforms for real-time processing of ECG signals has gradually become popular, but the detection accuracy of existing mobile platforms for ECG detection c...

AI Technical Summary

Problems solved by technology

Among them, the principle of template matching method is simple, but it is very sensitive to high-frequency noise and baseline drift; wavelet transform method has good time-frequency localization characteristics and high detection accuracy, but it has a large amount of calculation and is not suitable for real-time processing in the mobile field; The network method can achieve a good discriminative effect, but the training time is long, and it is actually difficult to apply

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