The pulse waveform characteristic points detection is very important for detecting cardiovascular parameters. A real-time algorithm based on wavelet transform (WT) is developed for detecting the characteristic points exactly. The algorithm combines the zero-crossing of a wavelet with one vanishing moment and the local extrema of a wavelet with two vanishing moment to improve the detection rate of characteristic points. The detection results show that automatic identification of characteristics points has high accuracy, which is convenient for evaluating the global behavior of arterial parameters.
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