Physiological signal detecting system based on continuous wave Doppler radar

Abstract

The invention discloses a physiological signal detecting system based on a continuous wave Doppler radar. The physiological signal detecting system comprises a Doppler radar sensor, a power supply module, a signal preprocessing module, a differential amplifier, an active band-pass filter, a breath and heartbeat signal separation module and an MCU module, wherein the Doppler radar sensor is used for transmitting continuous wave radar signals to a human chest and receiving echo signals, processing the echo signals to output low-frequency signals which reflect human respiration and heartbeat change, conducting signal processing on the low frequency signals through the signal preprocessing module, the differential amplifier, the active band-pass filter, the breath and heartbeat signal separation module and the MCU module, and acquiring human breath signals and human heartbeat signals. Through the adoption of the technical scheme, the Doppler radar sensor works in a continuous wave mode and a multistage filter circuit is correspondingly designed, so that the non-contact detection of the human physiological signals can be realized, and the restriction and discomfort feeling of traditional contact type detection equipment to a patient can be avoided.

Description

technical field [0001] The invention relates to a physiological signal detection system, in particular to a physiological signal detection system based on continuous wave Doppler radar. Background technique [0002] Physiological parameters (such as breathing, heartbeat signals, etc.) are an important indicator in modern medical testing, and the monitoring of physiological parameters can provide reliable basis for doctors to diagnose and treat. Contact detection technology is currently a relatively common method of using physiological monitoring equipment. It mainly uses wearable sensors or sticky electrodes to directly contact patients to monitor physiological signals. The detection process will cause psychological or physical constraints on patients. Commonly used clinical methods for respiratory signal detection include capacitive sensor detection, impedance method detection, flow sensor detection, and strain sensor detection. Commonly used methods for heartbeat detectio...

AI Technical Summary

Problems solved by technology

However, due to the particularity of physiological signal detection, it is difficult to directly apply the general-purpose Doppler radar module to physiological signal detection in the prior art, because the respiratory and heartbeat signals are extremely weak and are easily submerged in the noise and clutter of the radar. Non-contact detection of vital signs such as human breathing and heartbeat cannot be realized by using the conventional application circuit of Doppler radar in the prior art

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