Respiration rate monitoring method, device, equipment and medium

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...

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

Images