A Korotkoff sound blood pressure measurement and signal analysis method based on wavelet denoising

Abstract

The invention discloses a Korotkoff sound blood pressure measurement and signal analysis method based on wavelet denoising. The method comprises the following steps: collecting the Korotkoff sound signal; storing the Korotkoff sound signal to a preprocessing module; The sound signal is denoised; the Korotkoff sound blood pressure signal is extracted from the denoised signal; and the systolic blood pressure, diastolic blood pressure and average pressure of the Korotkoff sound blood pressure signal are automatically detected. The present invention realizes the preprocessing and automatic detection of Korotkoff sound blood pressure measurement automatically at one time, and makes up for the deficiency in the traditional Korotkoff sound blood pressure measurement. The preprocessing, signal extraction and automatic detection can reduce the error caused by the subjective factors of doctors. Improve the accuracy, work efficiency and repeatability of Korotkoff sound blood pressure measurement, and provide a more accurate basis for the public's blood pressure measurement.

Description

technical field [0001] The invention relates to a method for processing information related to human physiological parameters, in particular to a Korotkoff sound blood pressure measurement and signal analysis method based on wavelet denoising. Background technique [0002] The measurement of blood pressure can be realized by two methods, direct and indirect. The direct method is an invasive measurement method, and the blood pressure value is obtained by a pressure sensor by inserting a catheter into a blood vessel. The indirect method is a non-invasive measurement method, and the blood pressure value is obtained by analyzing and processing the relevant characteristic signals. [0003] At present, the methods of non-invasive blood pressure measurement mainly include auscultation based on Korotkoff sounds, oscillometric method, palpation method, ultrasound method and so on. In 1905, the Soviet doctor Korotkoff proposed that under normal circumstances, a fully compressed arter...

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Problems solved by technology

[0021] The signal processed by the hard threshold method is discontinuous at the threshold, which may produce pseudo-Gibbs effect; although the soft threshold function has good overall continuity, when |W k (i)|>σ k , there is a constant deviation, which directly affects the degree of approximation between the reconstructed signal and the original signal; in the soft and hard threshold compromise method, when μ takes 0 and 1 respectively, it becomes the hard threshold and soft threshold method, and this method denoises The effect is better than the soft and hard threshold methods, but because it combines the characteristics of the soft and hard threshold functions, there are still problems of μσ error and discontinuity at the threshold point

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