Electrocardio signal QRS complex wave detection method based on morphology and wavelet transform
A technology based on morphology and wavelet transform, applied in the fields of medical science, diagnostic recording/measurement, diagnosis, etc., can solve the problem of decreasing detection accuracy
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[0050] The present invention will be further described below in conjunction with the accompanying drawings.
[0051] The invention relates to a combination of morphological operations suitable for detecting sharp peaks or troughs, and wavelet analysis suitable for detecting relatively gentle changing peaks or troughs. This paper proposes a QRS complex wave detection method based on morphological operations and wavelet analysis. The method adopts an adaptive threshold at the same time, combined with an effective R-wave backtracking mechanism, so that the method can target the ECG of the arrhythmia database in the preprocessed MIT-BIH database (a database for researching arrhythmia provided by the Massachusetts Institute of Technology). Signal, can achieve more than 99% detection accuracy. Method flow chart as figure 2 As shown, the specific operation steps are described as follows.
[0052] Step 1: Input the ECG signal after suppressing baseline drift and removing high-frequ...
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