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A Heartbeat and Respiration Detection Method Based on Multi-resolution Signals

A multi-resolution, heartbeat detection technology, applied in the measurement of pulse rate/heart rate, diagnostic record/measurement, medical science, etc., can solve the problems of low precision, slow calculation speed, low detection accuracy, etc. The effect of reducing cost increase, good health information

Active Publication Date: 2022-07-15
宁波善德电子集团有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The non-contact heartbeat detection method generally requires that a certain distance must be kept from the body of the person being measured when detecting the heartbeat. The existing non-contact detection methods have the disadvantages of slow calculation speed and low accuracy.
[0004] Similarly, the current breath detection method also has the problem of low detection accuracy.

Method used

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  • A Heartbeat and Respiration Detection Method Based on Multi-resolution Signals
  • A Heartbeat and Respiration Detection Method Based on Multi-resolution Signals
  • A Heartbeat and Respiration Detection Method Based on Multi-resolution Signals

Examples

Experimental program
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Embodiment

[0039] refer to figure 1 , a kind of heartbeat detection method based on multi-resolution signal, comprises the steps:

[0040] S1. Obtain N heartbeat signals, and obtain the signal samples corresponding to each heartbeat signal Sig

[0041] Sig DCR =Sig-mean(∑Sig),

[0042] Among them, mean(∑Sig) represents the average value after the summation of N heartbeat signals;

[0043] S2, for N signal samples Sig DCR Use Db10 analysis wavelet to perform first-level filtering, and obtain low-pass signals a=Sig respectively DCR *h,

[0044] High pass signal d=Sig DCR *g,

[0045] Where h represents a low-pass filter, g represents a high-pass filter, and * represents convolution;

[0046] After filtering, the low-pass signal a and the high-pass signal d are downsampled to half of the original samples, i.e.

[0047] (u↓2)[k]=u[2k]

[0048] In this way, the first-level decomposition is completed to obtain A1 and D1, and the filtering process is repeated for A1 to obtain A2 and D...

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Abstract

A heartbeat and respiration detection method based on multi-resolution signals, involving heartbeat and respiration detection technology, wherein the heartbeat detection method comprises steps: inputting a heartbeat signal, DWT decomposition, D5 sub-band soft thresholding, squaring and 10-level DWT decomposition, D1 -D5 sub-band elimination to determine the reference window and locate the peak in the reference window; the present application provides a multi-resolution signal-based heartbeat and respiration detection method with higher detection accuracy.

Description

technical field [0001] The invention relates to a heartbeat and respiration detection technology, in particular to a heartbeat and respiration detection method based on multi-resolution signals. Background technique [0002] The number of heartbeats per minute in the human body is closely related to the health of the person. By measuring and calculating the heart rate, the occurrence of cardiovascular disease can be predicted. At the same time, detecting and monitoring the heartbeat is of great significance for medically judging people's emotional behavior. [0003] At present, there are two main methods for detecting heartbeat, contact and non-contact detection methods. Heartbeat detection is performed by pressing the pulse, using a stethoscope, etc., which are contact methods. The heartbeat is obtained by analyzing the reflection spectrum of microwave, infrared and visible light based on the surface of human skin, which belongs to a non-contact detection method. The con...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/024
CPCA61B5/024A61B5/725A61B5/726
Inventor 章其波魏鹏辉
Owner 宁波善德电子集团有限公司