Non-contact far-field multi-human-body respiration heart rate monitoring method based on millimeter waves

Abstract

The invention provides a non-contact far-field multi-human respiration heart rate monitoring method based on millimeter waves. The method comprises the following steps: performing micro Doppler operation on a monitored millimeter wave signal, and demodulating operation data into micro distance frequency spectrum data and micro angle frequency spectrum data; separating the two kinds of frequency spectrum data by adopting a band-pass filter; constructing a distance set and an angle set based on the micro-distance spectrum data and the micro-angle spectrum data, wherein the distance set is used for storing multi-target human body signal data of the corresponding distance, and the angle set is used for storing multi-target human body signal data of the same distance and the corresponding angle; and calculating respective respiratory frequencies of the multi-target human bodies in each distance set and each angle set based on wavelet transform, and calculating respective heartbeat frequencies of the multi-target human bodies in each distance set and each angle set based on a clustering density algorithm. The method has the advantages that: remote monitoring can be achieved, multiple target human bodies can be monitored at the same time, the accuracy of human heart rate and respiration monitoring results is high, and the reference significance of the monitoring results is large.

Description

Technical field [0001] The present invention relates to the field of Internet access communication and medical monitoring, and more particularly to a mm-wave non-contact far field multi-human respiratory heart rate monitoring method. Background technique [0002] Millimeter wave refers to an electromagnetic wavelength of 1 to 10 mm, which is located in the wavelength range overlapping the microwave and far-infrared wave, and therefore there is a characteristic of two spectrum. Compared with the optical wave, millimeter waves are small by natural light and thermal radiation sources; there is a wide bandwidth, the frequency range of millimeter waves is 30 GHz-300GHz, with high precision, high resolution characteristics; millimeter wave beams are narrow, in the same The beam of the antenna size is much smaller than the beam of the microwave, which can distinguish between the smaller targets, or more clearly observe the details of the target. Compared with the laser, the propagation ...

AI Technical Summary

Problems solved by technology

It greatly limits the actual implementation of the technology, and also greatly reduces the actual user experience

[0006] 2. Most of the existing methods for detecting human heart rate and respiration using millimeter wave technology are one-to-one detection. If there are multiple human targets in the detection scene, it is difficult to distinguish and identify each human target and cannot accurately monitor each human target.

[0007] 3. In the actual monitoring scene, there may be many interference factors, such as the interference of the heart rate and breathing of family pets in home life, the interference of human walking and body movements, the interference of bathroom mist and shower water flow, and the interference of household appliances (electric fans, Sweeping robots, etc.), the existing method of using millimeter wave technology to detect human heart rate and respiration does not solve these interference factors, resulting in inaccurate results of monitored human heart rate and respiration, and little reference value

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