Real-time extraction method of respiration rate based on body shock signal

Abstract

The invention provides a method for extracting respiratory rates on the basis of body vibration signals in real time. The method includes steps of 1), removing high-frequency heart impact signal and noise interference on the body vibration signals by the aid of low-pass filters, reducing sampling frequencies and extracting respiratory waves; 2), converting the respiratory waves into data links by means of K-means classification; 3), locally matching the data links with one another to confirm periodic characteristics; 4), carrying out compensation algorithms on occasionally available invalid respiratory waves according to the periodic characteristics and acquiring the respiratory rates. The method has the advantages that the method is free of influence of multiple wave peak points of the body vibration signals in a period or deficiency of the wave peak points in the period and can be used for acquiring micro-variable signals of the bodies of subjects who keep in sitting postures or lying postures, and the respiratory waves of the subjects can be reliably computed in real time.

Description

Technical field [0001] The invention belongs to the technical field of respiration measurement, and relates to a method for extracting respiratory waves, in particular to a method for extracting respiration rate in real time based on body shock signals. Background technique [0002] Respiratory wave (RW) is one of the important assessment methods of vital signs and an important part of sleep monitoring. The current methods of obtaining respiratory waves mainly include thermal sensors and chest impedance detection methods, which are cumbersome and inconvenient to detect. [0003] The body shock signal contains the vibration component of the heart impact force transmitted to the body surface, the vibration effect of breathing through the change of the chest cavity volume, the human body's own activities and the influence of the external environment. The micro-motion sensor can perceive and convert the electrical signal when the person under test is breathing. This kind of body shock ...

AI Technical Summary

Problems solved by technology

[0007] In view of the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide a method for real-time extraction of respiration rate based on the body vibration signal, which is used to solve the problem of multiple peak points or lack of peak points within one period of the body vibration signal in the prior art. The peak point causes a large error in the extraction of respiratory waves

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