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has been cited by the following article:

• TITLE: A More Effective Method of Extracting the Characteristic Value of Pulse Wave Signal Based on Wavelet Transform

  AUTHORS: Xuanwei Zhang, Yazhou Shang, Daoxin Guo, Tianxia Zhao, Qiuping Li, Xin’an Wang

  KEYWORDS: Pulse Wave, Wavelet Transform, Adaptive Threshold, Characteristic Values

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.9 No.10B, September 23, 2016

  ABSTRACT: Pulse wave contains human physiological and pathological information. Different people will exhibit different characteristics, and hence determining the characteristic points of the pulse wave of human physiological health makes sense. It is common that we extract the characteristic value of pulse wave signal with the method based on wavelet transform on a small scale, and then determine the locations of the characteristic points by modulus maxima and modulus minima. Before determining characteristic value by detecting modulus maxima and modulus minima, we need to determine every period of the pulse wave. This paper presents a new kind of adaptive threshold determination method which is more effective. It can accurately determine every period of the pulse wave, and then extract characteristic values by modulus maxima and modulus minima in every period of the pulse wave. The method presented in this paper promotes the research utilizing pulse wave on health life.