Radar based respiration and heartbeat signal detection method and system

Abstract

The invention discloses a radar based respiration and heartbeat signal detection method and system. The method comprises the steps of A, judging whether a target exists based on a transmitting signaland a receiving signal; and B, performing the following processing on a mixed vital sign signal of the target: B1, performing high-pass filtering and FFT on the mixed vital sign signal to obtain firstfrequency spectrum data; B2, if the frequency corresponding to a maximum amplitude value point is within a respiratory frequency range and the maximum amplitude value point exists at a Q frequency doubling position and / or near the Q frequency doubling position of the frequency, taking the frequency as a respiratory dominant frequency; B3, decomposing the mixed vital sign signal of the target based on empirical wavelet transform; and B4, if the maximum value frequency of a third component or a fourth component is within a preset heartbeat frequency range, taking the maximum value frequency asa heartbeat dominant frequency. Based on the empirical wavelet transform, respiration and heartbeat signals are adaptively separated and the frequencies of the respiration and heartbeat signals are accurately extracted, and the respiration and heartbeat frequencies of multiple persons can be simultaneously extracted and separated for a broadband / ultra-wideband radar.

Description

technical field [0001] The present invention relates to the field of signal detection and processing, in particular to a method and system for detecting breathing and heartbeat signals based on radar. Background technique [0002] Heart rate and respiratory rate directly reflect the physiological state of the human circulatory system and respiratory system, and are important basis for clinical diagnosis and disease prevention. However, the traditional clinical methods for monitoring breathing and heartbeat frequency mainly use contact sensors such as pressure, piezoresistive, photoelectric, and electrodes to directly contact human skin to obtain physiological signals of the human body. Long-term wearing will bring discomfort to the subject, especially for severe The skin of burn victims and infants and young children is at high risk of injury. In recent years, radar life detection has become an emerging and effective non-contact detection technology. Without any sensor cont...

AI Technical Summary

Problems solved by technology

However, the traditional clinical method of monitoring breathing and heartbeat frequency mainly uses pressure, piezoresistive, photoelectric, electrode and other contact sensors to directly contact human skin to obtain physiological signals of the human body. Long-term wearing will bring discomfort to the subject, especially for severe The skin of burn victims and infants has a high potential for injury

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