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Method for calculating respiratory frequency

A technology of breathing frequency and original signal, applied in the field of signal processing, can solve the problems of difficulty in extracting breathing waveform features, difficulty in breathing times, and difficulty in eliminating the influence of heartbeat, so as to achieve the effect of reducing the influence.

Active Publication Date: 2020-03-06
SICHUAN CHANGHONG ELECTRIC CO LTD
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AI Technical Summary

Problems solved by technology

[0003] Calculating the correct number of breaths becomes more difficult when such breathing features are not obvious
Especially when the heartbeat signal is relatively significant, it will be more difficult to extract the characteristics of the respiratory waveform
Using traditional filtering methods, it is difficult to eliminate the influence of heartbeat

Method used

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  • Method for calculating respiratory frequency

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Embodiment Construction

[0027] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0028] The method for calculating respiratory rate of the present invention, its flow chart sees figure 1 , wherein the method includes the following steps:

[0029] Step 1. Search for the correct heartbeat peak in the original signal, and record its coordinates.

[0030] Among them, step 1 specifically includes:

[0031] Step 101, intercepting a segment of the original signal S for analysis, the time range T of the original signal can be taken as 10 seconds to 60 seconds;

[0032] Step 102: Search for a local maximum point H in S, and the sliding search range may be 0.5 seconds to 2 seconds.

[0033] Step 2. According to the heartbeat peak coordinates, the original signal between each coordinate is intercepted, so as to obtain the original signal of each heartbeat cycle.

[0034] Among them, step 2 specifically includes:

[0035] Step ...

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Abstract

The invention provides a method for calculating respiratory frequency, and belongs to the technical field of signal processing. The invention aims to solve the problem that difficulty in calculating correct respiratory times is increased when respiratory characteristics are not obvious at present. The method comprises the following steps: searching a correct heartbeat peak in an original signal, and recording coordinates of the heartbeat peak; intercepting an original signal of each coordinate according to the coordinates of the heartbeat peak so as to obtain an original signal of each heartbeat period; calculating and recording an absolute average value of an original signal of each heartbeat period; searching local peak values of the absolute average value, and performing counting to obtain respiratory times in the time of each original signal; and dividing the time of the original signal by the respiratory times in the time of each original signal, so as to obtain respiratory frequency. According to the invention, through comparison of original signals in a plurality of heartbeat cycles, influence of heartbeats on analysis is weakened, and respiration frequency can be accuratelycalculated under a condition that a heartbeat characteristic is far larger than a respiration characteristic.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for calculating respiratory frequency. Background technique [0002] Nowadays, piezoelectric sensors are often used to form sleep monitoring products such as smart bed belts / mattresses to collect heart rate and respiratory rate during human sleep. In some cases, the waveform characteristics of the respiratory frequency of the collected signal are not obvious, and the intensity is even far lower than that of the heartbeat. On the one hand, it is related to the contact position, and on the other hand, it is also related to the characteristics of some piezoelectric sensors. [0003] When such breathing characteristics are not obvious, it becomes more difficult to calculate the correct number of breaths. Especially when the heartbeat signal is relatively significant, it will be more difficult to extract the characteristics of the respiratory waveform. Using trad...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/08
CPCA61B5/0816
Inventor 彭晶张雅勤刘贤洪
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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