Non-contact vital signs monitoring millimeter wave radar system with mechanical rotation

Abstract

This invention discloses a non-contact millimeter-wave radar system for monitoring vital signs with mechanical rotation, belonging to the field of electronic information technology. The system includes a computer, millimeter-wave radar, antenna module, two-phase four-wire stepper motor, control chip, transformer, and driver. Based on both FMCW and millimeter-wave radar technologies, this system also provides a non-contact life monitoring method. Equipped with a mechanical rotation device, the system enables omnidirectional, blind-spot-free automatic detection on a flat surface, expanding the detection area and significantly improving safety and convenience. It allows for real-time and convenient monitoring of vital signs in different populations, reducing the waste of human resources. It also provides an optional solution for monitoring vital signs in special populations and for the construction of traffic, security, and surveillance systems.

Description

Technical Field

[0001] This invention belongs to the field of electronic information technology, and specifically relates to a millimeter-wave radar system equipped with a mechanical rotation device for non-contact vital sign monitoring. Background Technology

[0002] The detection of vital signs has different applications in different fields. In medicine, electrocardiographs can monitor a patient's vital signs and health status in real time, such as respiration and heart rate, facilitating diagnosis, treatment, and care by medical staff. In the military, life detectors can be used to detect suspicious individuals, which is of great significance to national defense security. The self-driving cars that are currently driving a global wave also rely on radar life detectors to determine whether there are people around the vehicle, improving the safety and reliability of autonomous driving.

[0003] Current vital sign detection technologies are mainly divided into contact and non-contact detection technologies. Contact vital sign detection mainly uses an electrocardiograph (ECG) to collect the bioelectrical signals generated during heart activity through sensing devices such as electrode patches. The collected bioelectrical signals are then processed using a digital signal processor (DSP) and an ARM processor as the processing core, and the relevant parameters are finally displayed on the screen.

[0004] The literature “Xu Xinjian, Xu Haishu, Zhang Zhifang, Tang Dongsheng, Mao Kunjian. Design of Wireless Vital Signs Monitoring System Based on STM32 [J]. China Medical Equipment, 2017, 14(09): 11-14” proposes a wireless vital signs monitoring system. This system collects various physiological information from patients through a sensor acquisition module and transmits the patient's physiological parameters to a central monitoring station via a wireless transmission module. While this wireless detection system can eliminate the constraints of wires and increase the comfort of real-time vital sign monitoring, it still relies on a wearable acquisition module. In many cases, contact-based vital sign detection has certain limitations. For example, it is clearly inappropriate to use contact detection for burn patients, skin patients, and mental patients. Even for ordinary people, contact-based vital sign detection cannot achieve long-term real-time monitoring, which is inconvenient. Therefore, the value and significance of non-contact vital sign detection have gradually become apparent.

[0005] Non-contact life detection primarily utilizes light, sound, infrared, and radar signals for remote detection of signs of life. The literature "Zhou Zaoli. Research on Target Detection Method Based on LFMCW Millimeter-Wave Radar [D]. Nanjing University of Posts and Telecommunications, 2020" proposes a 77GHz linear frequency modulated continuous wave (LFMCW) radar target detection system to achieve non-contact life signal detection. However, such integrated life detection systems are often limited by their detection range, with blind spots on the sides and back of the system, and the echo signal processing is relatively cumbersome, increasing the difficulty of detection.

[0006] Besides applications in medical and security monitoring, non-contact life detection systems can also be used as front-end sensors for autonomous driving and the Internet of Things. The literature "Zhang Xiaomei. Ranging Method and Accuracy Analysis of Vehicle-Mounted LiDAR [D]. University of Electronic Science and Technology of China, 2019" proposes a method for monitoring the environment around a vehicle using lidar. LiDAR has the advantages of high angular and range resolution and high detection accuracy. However, the light pulses emitted by lidar are difficult to modulate, have poor penetration, and are easily affected by dense fog, rain, and snow. The literature proposes a method for lidar to detect the distance and position of targets, but it does not distinguish whether the target is a living organism, which undoubtedly increases the difficulty of backend data processing.

[0007] Furthermore, to achieve comprehensive environmental monitoring of a vehicle, the detection range of the radar itself would require the installation of more than a dozen radars around the vehicle. This would undoubtedly reduce the options available for the extremely expensive lidar, and even for the slightly cheaper millimeter-wave radar, the cost would still be too high. Summary of the Invention

[0008] To address the shortcomings of existing technologies, such as limited detection range, single scanning mode, complex echo signal processing, and limitations in special application scenarios, this invention provides a non-contact millimeter-wave radar system for monitoring vital signs with mechanical rotation.

[0009] The technical solution adopted in this invention is as follows:

[0010] A non-contact millimeter-wave radar system for monitoring vital signs with mechanical rotation is characterized by comprising a computer, a millimeter-wave radar, an antenna module, a two-phase four-wire stepper motor, a control chip, a transformer, and a driver.

[0011] The antenna module includes a transmitting antenna and a receiving antenna. The transmitting antenna continuously transmits frequency-modulated continuous pulse signals into the detection area, and the receiving antenna receives the echo signals reflected by the target in the detection area and feeds the echo signals back to the millimeter-wave radar.

[0012] The millimeter-wave radar is used to drive the antenna module into working state according to computer driving instructions, and at the same time receive echo signals and perform frequency mixing and sampling processing to obtain the location data and vital signs information of each living organism, and then transmit the location data and vital signs information of each living organism to the computer.

[0013] The computer is used to send drive commands to the millimeter-wave radar, and simultaneously receive the orientation data and vital signs information of each living organism, process them to obtain the location information, breathing and heartbeat information of each living organism in the detection area and display the results; it is also used to send parameter transformation commands to the control chip.

[0014] The control chip is used to generate output pulse signals, direction signals and enable signals according to the parameter transformation instructions of the computer, and send the three signals to the driver.

[0015] The driver is used to receive three signals sent by the control chip and integrate the three signals into two drive signals for transmission to the two-phase four-wire stepper motor.

[0016] The two-phase four-wire stepper motor is used to receive two drive signals provided by the driver and drive the life detection module to scan different rotation modes and rotation parameters.

[0017] The transformer is used to convert 220V high voltage into working voltage to power the system.

[0018] Furthermore, the rotation modes of the two-phase four-wire stepper motor include three types: the first is a continuous rotation mode, which enables the stepper motor to continuously rotate 360° to scan the surrounding scene in all directions; the second is a step rotation mode, which enables the stepper motor to rotate to a specific angle to achieve precise orientation detection; and the third is a scanning rotation mode, which enables the stepper motor to repeatedly scan within a specified angle range.

[0019] The rotation parameters of the two-phase four-wire stepper motor include the motor's rotation speed, rotation direction, and rotation angle.

[0020] Furthermore, the millimeter-wave radar has a built-in ADC module and a DSP module; wherein, the ADC module is used to perform analog-to-digital conversion processing on the signal; and the DSP module is used to perform fast Fourier transform calculation on the digital signal.

[0021] Based on the above system, the present invention also provides a non-contact life monitoring method, based on FMCW (Frequency Modulated Continuous Pulse) and millimeter-wave radar technology, the steps of which are as follows:

[0022] S1. The millimeter-wave radar drives the transmitting antenna to transmit frequency-modulated continuous pulse signals into the detection area, and then receives the echo signals reflected back from the target through the receiving antenna, and feeds the echo signals back to the millimeter-wave radar.

[0023] S2. The millimeter-wave radar performs frequency mixing and sampling processing on the echo signal to obtain the intermediate frequency (IF) signal; the frequency of the IF signal is equal to the product of the slope of the frequency-modulated continuous pulse signal and the time difference between the echo signal and the frequency-modulated continuous pulse signal; then, the target's azimuth data is obtained based on the frequency of the IF signal.

[0024] d = f0c / 2S

[0025] Where d is the distance between the target and the radar, f0 is the frequency of the intermediate frequency signal, c is the speed of electromagnetic waves in the air, and S is the derivative of the frequency of the frequency-modulated continuous pulse signal.

[0026] The S3 millimeter-wave radar's built-in ADC module performs analog-to-digital conversion on the intermediate frequency signal and transmits the digital signal to the millimeter-wave radar's built-in DSP module.

[0027] S4. The DSP module performs a Fast Fourier Transform (FFT) on the digital signal to separate the vital signs information of targets at different locations and distances, and transmits the vital signs information and location data of each target to the computer.

[0028] S5. The vital signs information of a single target will have a phase shift ΔФ compared to the frequency-modulated continuous pulse signal transmitted by the transmitting antenna. The phase shift ΔФ is used to represent the displacement Δd of the chest cavity of the living person. The specific calculation method is as follows:

[0029]

[0030] Among them, f c The initial frequency of the frequency-modulated continuous pulse signal.

[0031] S6. Using Δd as the ordinate and time t as the abscissa, a vital signal image of the chest cavity displacement changing over time is obtained; the vital signal image is composed of the superposition of respiratory signal, heartbeat signal, and clutter signal. To reduce computational complexity, the respiratory signal and heartbeat signal are treated as standard sine waves, thus obtaining the vital signal expression:

[0032] x(t)=A1 sin(2πf1t+Φ1)+A2sin(2πf2t+Φ2)+n(t)

[0033] Where A1 is the amplitude of the heartbeat signal, f1 is the frequency of the heartbeat signal, Φ1 is the initial phase of the heartbeat signal, A2 is the amplitude of the respiratory signal, f2 is the frequency of the respiratory signal, Φ2 is the initial phase of the respiratory signal, and n(t) is the clutter signal.

[0034] S7. The vital signal image is filtered by a Butterworth filter to remove noise and the respiratory signal and heartbeat signal are separated to obtain the respiratory and heartbeat information of each living organism. Finally, the location information and respiratory and heartbeat information of each living organism are displayed by a computer.

[0035] The advantages of this invention are as follows:

[0036] 1) The non-contact vital sign detection technology used in this invention can monitor vital signs of different groups of people in real time and conveniently.

[0037] 2) The life detection system equipped with a mechanical rotation device can achieve automatic detection in all directions on a plane without blind spots, expand the detection area, greatly improve safety and convenience, and reduce the waste of human resources.

[0038] 3) This invention can be used as a front-end sensor for autonomous driving and the Internet of Things, providing an optional solution for the intelligent construction of future transportation, security inspection and monitoring. Attached Figure Description

[0039] Figure 1 This is a block diagram illustrating the principles of each module of the present invention;

[0040] Figure 2 This is a time-domain image of the life signals collected by this invention;

[0041] Figure 3 It is a filtered image of the respiratory signal in the time domain;

[0042] Figure 4 It is a filtered image of the heartbeat signal in the time domain;

[0043] Figure 5 It refers to the pin connection method of various components in a mechanical rotating device;

[0044] Figure 6 The results are measured under normal breathing and sitting conditions, and compared with the results measured by the Huawei smart band.

[0045] Figure 7 The results are measured while the subjects were sitting upright and holding their breath, and compared with the results measured by the Huawei smart band.

[0046] Figure 8 It is a radar image used to monitor targets within the detection area;

[0047] Figure 9 It is an image of echo power and noise power for monitoring targets within the detection area. Detailed Implementation

[0048] The present invention will now be described in further detail with reference to the accompanying drawings.

[0049] To address the shortcomings of existing technologies, such as limited detection range, single scanning mode, complex echo signal processing, and limitations in special application scenarios, this invention provides a millimeter-wave radar system and method equipped with a mechanical rotation device for non-contact vital signal monitoring.

[0050] Millimeter wave technology is a sensing technology used to detect objects and provide information on their distance, velocity, and angle, capable of detecting movements as small as less than 1 mm. Under normal circumstances, breathing causes the chest cavity to rise and fall by 1-12 mm, at a rate of 6-30 times per minute; a heartbeat causes a rise and fall of 0.1-0.5 mm, at a rate of 48-120 times per minute. Millimeter wave radar transmits FMCW (Frequency Modulated Continuous Pulse) signals towards the target's chest area. Due to chest movement, the reflected signal is phase-modulated. The modulation encompasses all components of motion, including those caused by heartbeat and breathing.

[0051] The millimeter-wave radar system for non-contact vital sign monitoring equipped with a mechanical rotation device described in this invention, such as... Figure 1 As shown, it includes a computer, a millimeter-wave radar, an antenna module, a two-phase four-wire stepper motor, a control chip, a transformer, and a driver.

[0052] The antenna module includes three transmitting antennas and four receiving antennas. The transmitting antennas continuously transmit frequency-modulated continuous pulse signals into the detection area, and the receiving antennas receive the echo signals reflected by the target in the detection area and feed the echo signals back to the millimeter-wave radar.

[0053] The millimeter-wave radar is used to drive the antenna module into working state according to computer-driven instructions, simultaneously receiving echo signals and performing frequency mixing and sampling processing to obtain the location data and vital signs information of each living organism, and then transmitting the location data and vital signs information of each living organism to the computer. The millimeter-wave radar also has a built-in ADC module and a DSP module; the ADC module is used for analog-to-digital conversion of the signal; the DSP module is used for fast Fourier transform calculations of the digital signal.

[0054] The computer is used to send drive commands to the millimeter-wave radar, and simultaneously receive the orientation data and vital signs information of each living organism, process them to obtain the location information, breathing and heartbeat information of each living organism in the detection area and display the results; it is also used to send parameter transformation commands to the control chip.

[0055] The control chip, an STM32F103ZET6 chip, is used to generate output pulse signals, direction signals, and enable signals according to the computer's parameter transformation instructions, and send the three signals to the driver.

[0056] The driver is a TB6600 stepper motor driver, which receives three signals from the control chip and integrates them into two drive signals for transmission to the two-phase four-wire stepper motor.

[0057] The two-phase four-wire stepper motor is used to receive two drive signals provided by the driver and drive the life detection module to scan different rotation modes and rotation parameters.

[0058] The transformer is used to convert 220V high voltage into working voltage to power the system.

[0059] The two-phase four-wire stepper motor has three rotation modes: the first is a continuous rotation mode, which allows the stepper motor to rotate continuously 360° to scan the surrounding scene from all directions; the second is a step rotation mode, which allows the stepper motor to rotate to a specific angle to achieve accurate orientation detection; and the third is a scanning rotation mode, which allows the stepper motor to scan repeatedly within a specified angle range.

[0060] The rotation parameters of the two-phase four-wire stepper motor include the motor's rotation speed, rotation direction, and rotation angle.

[0061] Based on the aforementioned life detection system, this non-contact life monitoring method, utilizing FMCW and millimeter-wave radar technology, includes the following steps:

[0062] The S1 millimeter-wave radar drives the transmitting antenna to transmit frequency-modulated continuous pulse signals into the detection area, and then receives the echo signals reflected back from the target through the receiving antenna, and feeds the echo signals back to the millimeter-wave radar.

[0063] The S2 millimeter-wave radar performs frequency mixing and sampling processing on the echo signal to obtain the intermediate frequency (IF) signal. The frequency of the IF signal is equal to the product of the slope of the frequency-modulated continuous pulse signal and the time difference between the echo signal and the frequency-modulated continuous pulse signal. The target's azimuth data can then be obtained based on the frequency of the IF signal.

[0064] d = f0c / 2S

[0065] Where d is the distance between the target and the radar, f0 is the frequency of the intermediate frequency signal, c is the speed of electromagnetic waves in the air, and S is the derivative of the frequency of the frequency-modulated continuous pulse signal.

[0066] The S3 millimeter-wave radar's built-in ADC module performs analog-to-digital conversion on the intermediate frequency signal and transmits the digital signal to the millimeter-wave radar's built-in DSP module.

[0067] The DSP module described in S4 performs a Fast Fourier Transform (FFT) on the digital signal, which separates the vital signs information of targets at different locations and distances, and transmits the vital signs information and location data of each target to the computer.

[0068] The vital signs information of a single S5 target will have a phase shift ΔФ compared to the frequency-modulated continuous pulse signal transmitted by the transmitting antenna. The phase shift ΔФ is used to represent the displacement Δd of the chest cavity of the living person. The specific calculation method is as follows:

[0069]

[0070] Where Δd is the displacement of the thoracic cavity of the living organism, f c The initial frequency of the frequency-modulated continuous pulse signal.

[0071] S6, with Δd as the ordinate and time t as the abscissa, can produce a vital signal image showing the change of thoracic cavity displacement over time, such as... Figure 2 As shown. The vital sign image is composed of superimposed respiratory signals, heartbeat signals, and clutter signals. To reduce computational complexity, the respiratory and heartbeat signals are treated as standard sine waves, thus yielding the vital sign expression:

[0072] x(t)=A1 sin(2πf1t+Φ1)+A2sin(2πf2t+Φ2)+n(t)

[0073] Where A1 is the amplitude of the heartbeat signal, f1 is the frequency of the heartbeat signal, Φ1 is the initial phase of the heartbeat signal, A2 is the amplitude of the respiratory signal, f2 is the frequency of the respiratory signal, Φ2 is the initial phase of the respiratory signal, and n(t) is the clutter signal.

[0074] S7 filters the vital sign image using a Butterworth filter to remove clutter and separates the respiratory and heartbeat signals, obtaining... Figure 3 The images show the respiratory and heart rate information of each living organism. Because the frequency bands of the respiratory and heart rate signals are too narrow, the frequency values ​​were amplified during signal processing for easier processing. Therefore, the position of the image on the vertical axis and the scale of the horizontal axis should be adjusted accordingly. Finally, the position information and respiratory and heart rate information of each living organism are displayed using a computer.

[0075] During electronic scanning, the antenna module's beamwidth widens, thus reducing its gain and limiting the scanning angle range. By incorporating a mechanical rotation device to combine mechanical and electronic scanning, the monitoring range for vital signs can be further expanded. Specific connection methods are as follows... Figure 5 As shown.

[0076] This invention aims the antenna module at a target in any orientation by changing the number of pulses input to the driver of the control chip. The specific calculation method is as follows:

[0077]

[0078] In the formula, N is the number of input pulses, θ is the motor step angle, and a is the driver microstepping coefficient.

[0079] Meanwhile, this invention adjusts the pulse frequency of the input driver of the control chip to drive the antenna module to rotate and scan at a specific speed. The specific calculation method is as follows:

[0080]

[0081] In the formula, R is the stepper motor speed, f is the pulse frequency, and N is the number of input pulses.

[0082] Based on the above parameters, the external pins and internal timer module of the control chip are configured as follows:

[0083] 1) Customize the structures for GPIO pins, timers, interrupt priorities, and pulse widths to facilitate passing the structure values ​​to the selected pins.

[0084] 2) Enable the two clock peripherals APB1 and APB2 using the RCC_APB1PeriphClockCmd and RCC_APB2PeriphClockCmd functions in the firmware library.

[0085] 3) Configure the PA2, PF0, and PF1 pins as pulse pins (PUL), direction pins (DIR), and enable pins (ENA), and set the maximum frequency of the output port to 50MHz. Among them, the pulse signal output pin is selected as a multiplexed push-pull output, and the other two pins are selected as push-pull outputs.

[0086] 4) Set the reload count and division factor. The reload count is equal to the divided crystal oscillator frequency divided by the desired output pulse frequency. For the division factor, since the chip's crystal oscillator frequency is 72MHz, dividing it by 720 (i.e., setting the division factor to 720) yields a crystal oscillator frequency of 100kHz. The timer period can then be calculated using the formula below.

[0087]

[0088] In the formula, T is the timer period, F is the crystal oscillator frequency, f is the pulse frequency, and M is the frequency division coefficient.

[0089] 5) Enable timers TIM1 and TIM2, select the up-counting mode, do not perform constant splitting, and disable the repeat counting mode; then enable the global interrupt and clear the interrupt flag bit in advance.

[0090] 6) Set the master-slave interrupt priority and enable the preload register and capture-compare register.

[0091] 7) By using macro definitions, the speed, angle, direction, enable, and mode switching parameters are all placed in the main program, which makes it easier to control the rotation of the two-phase four-wire stepper motor.

[0092] The mechanical rotation device described in this invention is characterized by overcoming the significant inertia generated during mechanical scanning through pulse width modulation, reducing the hardware wear caused by mechanical inertia, and making the starting and stopping process of the two-phase four-wire stepper motor smoother. Furthermore, to achieve detection of any position within a specific area, this invention incorporates three mechanical rotation modes. In the control chip configuration, flag bits are set to switch between different motor operating modes.

[0093] The first mode is continuous rotation mode. In this mode, the timer operates continuously, allowing the stepper motor to rotate 360° continuously, scanning the surrounding scene from all directions. Changing the level of the DIR port controls the motor's clockwise or counterclockwise rotation; changing the pulse frequency of the PUL port adjusts the motor's rotation speed. Due to hardware limitations, the safe speed range of the motor in this invention is 4-375 rpm.

[0094] The second mode is step-rotation mode. In this mode, pressing the reset button on the control chip each time rotates the motor to a specific angle, thus achieving precise orientation detection. In the program, the timer stops working after counting to a specified number of pulses. The angle of motor rotation can be changed by adjusting the number of pulses. Similarly, the direction of motor rotation can also be changed according to the actual scenario.

[0095] The third mode is the scanning rotation mode, in which the motor can repeatedly scan within a specified angle range. By keeping the timer running continuously, and then flipping the DIR port potential after the motor rotates to the specified angle, and then flipping the DIR port potential again after the motor rotates to twice the specified angle, and finally letting the motor return to its original position, the specified area can be repeatedly scanned.

[0096] This invention can intuitively demonstrate the vital signs of a single target and the location information of multiple targets using a computer, thus enabling its application in various scenarios such as vital sign monitoring of burn patients, skin disease patients, and pedestrian location monitoring in traffic management. For the vital signs of a single target, the measurement results of the subject in a normal breathing, seated state are as follows: Figure 6 As shown, the heart rate readings are similar to those measured by the Huawei Band. The measurement results for subjects in a seated, breath-holding state are as follows... Figure 7 As shown in the image, when the subject is in a seated, breath-holding state, the measured respiratory signal image is close to a horizontal straight line. The heart rate signal amplitude is slightly reduced, but the change is not significant. The heart rate value decreases slightly, consistent with the measurement results of the Huawei smart band, which is in line with the actual situation. Regarding the directional information of multiple targets, as shown... Figure 8 As shown in the left image, the horizontal axis of the right image represents the distance between the target and the antenna module, while the vertical axis represents the relative power of the echo at the corresponding distance. The upper curve represents the echo power within the detection area, while the lower curve represents the relative power of noise in space.

[0097] This invention, by equipping a mechanical rotation device and proposing a simplified method for extracting vital signs, solves the problems of limited detection range, single scanning mode, complex echo signal processing, and limitations in special application scenarios of existing technologies. It provides an optional solution for monitoring vital signs of special populations and for the construction of traffic, security, and surveillance systems.

Claims

1. A non-contact millimeter-wave radar system for monitoring vital signs with mechanical rotation, characterized in that, This includes computers, millimeter-wave radar, antenna modules, two-phase four-wire stepper motors, control chips, transformers, and drivers; The antenna module includes a transmitting antenna and a receiving antenna, wherein the transmitting antenna continuously transmits frequency-modulated continuous pulse signals into the detection area, and the receiving antenna receives the echo signals reflected by the target in the detection area and feeds the echo signals back to the millimeter-wave radar; The millimeter-wave radar is used to drive the antenna module into working state according to the computer driving instructions, and at the same time receive the echo signal and perform frequency mixing and sampling processing to obtain the location data and vital signs information of each living organism, and then transmit the location data and vital signs information of each living organism to the computer. The computer is used to send drive commands to the millimeter-wave radar, and simultaneously receive the orientation data and vital signs information of each living organism, process the data to obtain the location information, breathing and heartbeat information of each living organism in the detection area and display the results; it is also used to send parameter transformation commands to the control chip. The control chip is used to generate output pulse signals, direction signals and enable signals according to the parameter transformation instructions of the computer, and send the three signals to the driver. The driver is used to receive three signals sent by the control chip and integrate the three signals into two drive signals for transmission to the two-phase four-wire stepper motor. The two-phase four-wire stepper motor is used to receive two drive signals provided by the driver and drive the life detection module to scan different rotation modes and rotation parameters. The transformer is used to convert 220V high voltage into working voltage to power the system.

2. The millimeter-wave radar system for non-contact vital sign monitoring with mechanical rotation as described in claim 1, characterized in that, The two-phase four-wire stepper motor has three rotation modes: the first is a continuous rotation mode, which allows the stepper motor to rotate continuously 360° to scan the surrounding scene from all directions; the second is a step rotation mode, which allows the stepper motor to rotate to a specific angle to achieve precise orientation detection; and the third is a scanning rotation mode, which allows the stepper motor to scan repeatedly within a specified angle range. The rotation parameters of the two-phase four-wire stepper motor include the motor's rotation speed, rotation direction, and rotation angle.

3. A non-contact millimeter-wave radar system for monitoring vital signs with mechanical rotation as described in claim 2, characterized in that, The millimeter-wave radar has a built-in ADC module and a DSP module; the ADC module is used to perform analog-to-digital conversion on the signal; and the DSP module is used to perform fast Fourier transform calculations on the digital signal.

4. A non-contact millimeter-wave radar system for monitoring vital signs with mechanical rotation as described in claim 3, characterized in that, The non-contact life monitoring method implemented using this system, based on FMCW and millimeter-wave radar technology, is implemented in the following steps: S1. The millimeter-wave radar drives the transmitting antenna to transmit frequency-modulated continuous pulse signals into the detection area, and then receives the echo signal reflected back from the target through the receiving antenna, and feeds the echo signal back to the millimeter-wave radar. S2. The millimeter-wave radar performs frequency mixing and sampling processing on the echo signal to obtain the intermediate frequency (IF) signal; the frequency of the IF signal is equal to the product of the slope of the frequency-modulated continuous pulse signal and the time difference between the echo signal and the frequency-modulated continuous pulse signal; then, the target's azimuth data is obtained based on the frequency of the IF signal. d = f0c / 2S Where d is the distance between the target and the radar, f0 is the frequency of the intermediate frequency signal, c is the speed of electromagnetic waves in the air, and S is the derivative of the frequency of the frequency-modulated continuous pulse signal. S3. The built-in ADC module of the millimeter-wave radar performs analog-to-digital conversion on the intermediate frequency signal and transmits the digital signal to the built-in DSP module of the millimeter-wave radar; S4. The DSP module performs a Fast Fourier Transform (FFT) on the digital signal to separate the vital signs information of targets at different locations and distances, and transmits the vital signs information and location data of each target to the computer. S5. The vital signs information of a single target will have a phase shift ΔФ compared to the frequency-modulated continuous pulse signal transmitted by the transmitting antenna. The phase shift ΔФ is used to represent the displacement Δd of the chest cavity of the living person. The specific calculation method is as follows: Among them, f c The initial frequency of the frequency-modulated continuous pulse signal; S6. Using Δd as the ordinate and time t as the abscissa, a vital signal image of the chest cavity displacement changing over time is obtained; the vital signal image is composed of the superposition of respiratory signal, heartbeat signal, and clutter signal. To reduce computational complexity, the respiratory signal and heartbeat signal are treated as standard sine waves, thus obtaining the vital signal expression: x(t)=A1sin(2πf1t+Φ1)+A2sin(2πf2t+Φ2)+n(t) Where A1 is the amplitude of the heartbeat signal, f1 is the frequency of the heartbeat signal, Φ1 is the initial phase of the heartbeat signal, A2 is the amplitude of the respiratory signal, f2 is the frequency of the respiratory signal, Φ2 is the initial phase of the respiratory signal, and n(t) is the noise signal. S7. The vital signal image is filtered by a Butterworth filter to remove noise and the respiratory signal and heartbeat signal are separated to obtain the respiratory and heartbeat information of each living organism. Finally, the location information and respiratory and heartbeat information of each living organism are displayed by a computer.

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