Respiration rate monitoring method, device, equipment and medium

A technology of breathing rate and sampling frequency, applied in the field of smart home, can solve the problems of low accuracy, unable to extract breathing waveform, weak breathing signal components, etc., to improve the effect of accurate calculation

Pending Publication Date: 2022-03-11
深圳数联天下智能科技有限公司
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AI Technical Summary

Problems solved by technology

On the one hand, for some wearable single-chip microcomputers, the memory or computing speed may not be able to meet the requirements of the frequency domain analysis method.
On the other hand, the time-domain analysis method usually uses a fixed band-pass filter (such as 0.1-0.63Hz) to extract the respiratory signal from the BCG, and the band-pass filter is at low respiration (breath rate 6-10BPM) In some cases, the respiration signal component in BCG is relatively weak, coupled with the influence of the heart rate signal component, it may not be possible to extract a clear respiration waveform, which leads to the problem of low accuracy of respiration rate calculation

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  • Respiration rate monitoring method, device, equipment and medium
  • Respiration rate monitoring method, device, equipment and medium
  • Respiration rate monitoring method, device, equipment and medium

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Embodiment Construction

[0064] The present application will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present application, but do not limit the present application in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application. These all belong to the protection scope of this application.

[0065] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0066] It should be noted that, if there is no conflict, various features in the embodiments of the pres...

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Abstract

The embodiment of the invention relates to the field of smart home, and discloses a respiratory rate monitoring method and device, equipment and a medium. The method comprises the following steps: acquiring a heart impact sampling signal with a preset sampling frequency; inputting the ballistocardiogram sampling signal into a plurality of band-pass filters with different frequency ranges for filtering processing to obtain filtering data with maximum signal energy in a preset time length; obtaining a wave crest and a wave trough of the filtering data with the maximum signal energy; according to the distance between the wave crests, the distance between the wave troughs and the preset sampling frequency, the respiration rate is calculated. According to the method, the dynamic band-pass filter is used, the respiration signals are extracted from the BCG in real time, and the accuracy of respiration rate calculation is effectively improved.

Description

technical field [0001] The embodiments of the present application relate to the field of smart home, and in particular, to a method, device, equipment and medium for monitoring respiration rate. Background technique [0002] Cardiac shock signal (Ballistocardiogram, BCG) can be measured portablely through a non-contact piezoelectric sensor without wearing cumbersome electrodes. BCG is the instantaneous impact force generated by the heartbeat on the contact surface collected by the piezoelectric sensor. It contains a wealth of sleep-related physiological information, such as respiration and heart rate. Central sleep apnea (central sleep apnea, CSA) is due to the control of breathing brain center disorders, no chest and abdomen breathing movement, usually caused by heart disease, congestive heart failure, stroke or end-stage renal disease, mostly in middle-aged and elderly people. Therefore, the monitoring of central sleep apnea disease based on BCG is very necessary, which r...

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Application Information

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IPC IPC(8): A61B5/11A61B5/08A61B5/00
CPCA61B5/1102A61B5/0816A61B5/4818A61B5/7235
Inventor 张启飞刘国涛牛洋洋朱文杰徐志英
Owner 深圳数联天下智能科技有限公司
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