Method for removing baseline drift from pulse wave signal

Abstract

The invention discloses a method for removing baseline drift from a pulse wave. The method comprises the following steps of: acquiring a pulse wave signal; pre-treating the acquired pulse wave signal to obtain an alternating current component in the pulse wave signal; performing sliding mean filtering on a section of obtained alternating current signal, and inhibiting the power frequency interference to obtain an original signal of the pulse wave; finally, searching wave troughs of the original signal to recognize the positions of all wave troughs of the pulse wave signal; performing spline interpolation between two adjacent wave troughs to fit a drifting baseline; and substracting the drifting baseline from the original signal to obtain a pulse wave signal in which the baseline drift is removed. According to the method, the power frequency interference in the signal is inhibited through sliding mean filtering, and the baseline drift in the signal is found by a spline interpolation fitting method; compared with the traditional method, the invention has the advantages that the method is accurate, stable, anti-jamming, simple, easy, and updated in real time; and the method has good practical application value.

Description

technical field [0001] The invention relates to a method for removing baseline drift in pulse wave signals, and is particularly suitable for removing baseline drift of pulse wave signals in blood oxygen saturation testers. Background technique [0002] Pulse pathological diagnosis has always been valued by Chinese and foreign medical circles. Almost all nations in the world have a history of "feeling the pulse" diagnosis. A large number of clinical studies have shown that the pulse wave contains a wealth of cardiovascular disease information. At present, various parameters of hemodynamics, such as cardiac output, vascular resistance, vascular wall elasticity, and blood viscosity, can be easily estimated by analyzing the pulse signal. However, in order to accurately judge cardiovascular and other aspects and predict the possibility of cardiovascular disease, so as to take timely measures to effectively reduce risk factors, the first condition is to be able to obtain accurate...

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Problems solved by technology

Therefore, during the acquisition process, it is easily affected by factors such as breathing, power frequency interference, and baseline drift due to different force levels during skin contact.

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