Method and device of detecting human vital signs based on ultra-wideband radar

Abstract

The invention discloses a method and device of detecting human vital signs based on ultra-wideband radar. The method comprises the steps of acquiring multiple first echo signals of normal human breathand/or heartbeat and multiple second echo signals of abnormal human breath and/or heartbeat through ultra-wideband radar, preprocessing the signals, and extracting to obtain a normal detection sequence and an abnormal detection sequence; setting a convolutional neural network; training the convolutional neural network based on the normal detection sequence and the abnormal detection sequence; detecting breath and/or heartbeat of a current detection subject through the trained convolutional neural network, and outputting the results of whether the heartbeat is normal. The device herein comprises a signal processing module, a convolutional neural network setting module, a training module and a detection module. The method and device have the advantages that deep learning helps improve the accuracy of detecting heartbeat frequency, the capacity to distinguish normal heartbeat and abnormal heartbeat is improved, and real-time detection is distinguished accurately.

Description

technical field [0001] The invention relates to the technical field of number detection, in particular to a method and device for detecting vital signs of a human body based on an ultra-wideband radar. Background technique [0002] Human body vital sign detection is widely used in rescue and smart home, mostly based on breathing and / or heartbeat detection. In modern society, contact detection methods are usually used, but the contact between the detector and the measurer may make the measurer feel uncomfortable or cause secondary injury. Contact measurement also can't measure the subject in the ruins and the long distance. Radar has the advantages of high resolution, low power consumption, strong anti-interference ability, penetrability, and detection in dark and complex environments. It can be used for clinical monitoring of infectious disease patients and critically ill patients, as well as real-time monitoring of infants and young children. The vital signs of the human ...

AI Technical Summary

Problems solved by technology

Although the invention patent application proposes the measurement of non-contact respiration and heart rate based on ultra-wideband radar, it uses band-pass filter and fast Fourier method to extract respiration and / or heartbeat frequency, because the human heartbeat frequency is relatively high. Weak and easily affected by factors such as the environment. For example, the slight movement of the human body produces a large low-frequency interference component. The measured target frequency signal will deviate from the actual frequency, so accurate respiration and / or heartbeat values ​​cannot be obtained. For measurement Decreased ability to discern whether the subject's heartbeat is abnormal

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