Method for extracting respiratory rates on basis of body vibration signals in real time

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 respiration wave extraction method, in particular to a real-time respiration rate extraction method based on body shock signals. Background technique [0002] Respiratory wave (respiratory wave, referred to as RW) is one of the important assessment methods of vital signs, and it is also an important content of sleep monitoring. At present, the methods of obtaining respiratory wave mainly include thermal sensor and chest impedance detection method, etc., which are cumbersome to operate and inconvenient to detect. [0003] The body shock signal contains the vibration component transmitted from the heart impact force to the body surface, the vibration effect generated by breathing through the change of chest volume, the activities of the human body itself and the influence of the external environment. The micro-motion sensor can perceive and convert it into an electr...

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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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