The invention provides an electrocardio
signal QRS complex
wave detection method based on morphology and
wavelet transform. The method comprises a first step of inputting an electrocardiograph (ECG)
signal which restrains
base line drift and after high-
frequency noise is removed and carrying out segmentation, a second step of using a db6
wavelet to carry out four-layer
wavelet decomposition to the segmented
ECG signal obtained in the first step, a third step of using a multiresolution morphology
decomposition method to decompose the segmented
ECG signal obtained in the first step and searching a common model maximum value point on a third layer detail component and a fourth layer detail component and regarding the common model maximum value point as an R
peak location, a fourth step of carrying out the OR operation to the R peak locations obtained in the second step and the third step and preserving a result as a new R
peak location if the result is 1, a fifth step of recalling an R peak, a sixth step of confirming a starting point and a
terminal point of an QRS complex wave, and a seventh step of confirming whether total
ECG signal detection is finished or not, finishing the operation if the detection is finished, and updating a threshold value and repeating the second step to the seventh step until an
algorithm is finished, if the detection is not finished. The method can reach detection accuracy rate of more than 99%.