Electrocardiosignal baseline leveling method based on wavelet decomposition and spline interpolation
An ECG signal and spline interpolation technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as changes, inability to establish mathematical models, and achieve the effect of a solid mathematical foundation
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[0185] Embodiment 1: The present invention can solve the problem of baseline drift of conventional electrocardiograms and ambulatory electrocardiograms.
[0186] Select a conventional 12-lead ECG with a sampling rate of 1000 Hz and a length of 10 seconds. Its lead II waveform is as figure 1 shown.
[0187] Using the second-order Daubechies wavelet as the basis function, the lead II signal is decomposed into six-level wavelets, and the high-frequency components of levels 1, 2, 3, 4, and 5 and the low-frequency components of level 6 are all set to zero to reconstruct the signal , the reconstructed signal is as figure 2 shown.
[0188] Draw the original signal of lead II and the reconstructed signal in the same coordinate system, such as image 3 shown. Comparing the two signals, it can be found that the reconstructed signal weakens the influence of the P wave and T wave, highlights the QRS complex, and makes the detection result of the QRS complex more accurate.
[0189] ...
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