CN112890769A - Non-contact apnea detection method and system - Google Patents

Abstract

The embodiment of the invention discloses a non-contact apnea detection method and a non-contact apnea detection system; the system may include: a respiratory signal acquisition part and a respiratory signal processing part; the respiratory signal acquisition part is configured to acquire a respiratory signal of a detection object based on a radar reflection signal and transmit the acquired respiratory signal to the respiratory signal processing part through a wireless transmission link; the respiratory signal processing section configured to analyze a respiratory state of the test subject based on the received respiratory signal; and prompting when the breathing state of the detection object is abnormal.

Description

Non-contact apnea detection method and system

Technical Field

The embodiment of the invention relates to the technical field of medical detection, in particular to a non-contact apnea detection method and system.

Background

Sleep Apnea Syndrome (SAS) is a common Sleep disorder, and the main cause of the disease is upper airway obstruction, which has many complications such as: hypertension, arrhythmia, cardiovascular and cerebrovascular diseases, respiratory failure and the like, which can cause sleep defects of patients, reduce the working efficiency and reduce the memory and reaction capability, thereby leading to the increase of the incidence rate of accidents. Apnea diseases are a serious health hazard, and therefore detection and remote monitoring schemes for apnea are highly desirable.

Currently, most conventional main schemes for detecting sleep apnea syndrome employ constrained wearable devices, such as PolySomnoGraphy (PSG) and ventilators, to acquire and analyze respiratory signals of a detection object, such as a patient. Such solutions require expensive equipment costs and labor consumption, and contact-type respiratory signal acquisition can produce a restrictive response to the patient, affecting the sleep quality of the patient and thereby reducing the accuracy of the test.

Disclosure of Invention

In view of the above, embodiments of the present invention are directed to a non-contact apnea detecting method and system; the breathing signal of the detection object can be collected in a non-contact manner in real time and is wirelessly transmitted, real-time and non-contact remote monitoring, apnea early warning and breathing condition recording are realized, the detection efficiency and accuracy are improved, and the comfort level of the detection object is improved.

The technical scheme of the embodiment of the invention is realized as follows:

in a first aspect, an embodiment of the present invention provides a non-contact apnea detection system, including: a respiratory signal acquisition part and a respiratory signal processing part; wherein the content of the first and second substances,

the respiratory signal acquisition part is configured to acquire a respiratory signal of a detection object based on a radar reflection signal and transmit the acquired respiratory signal to the respiratory signal processing part through a wireless transmission link;

the respiratory signal processing section configured to analyze a respiratory state of the test subject based on the received respiratory signal; and prompting when the breathing state of the detection object is abnormal.

In a second aspect, an embodiment of the present invention provides a non-contact apnea detecting method, which is applied to the non-contact apnea detecting system in the first aspect, and the method includes:

the respiration signal acquisition part acquires the respiration signal of the detection object based on the radar reflection signal and transmits the acquired respiration signal to the respiration signal processing part through a wireless transmission link;

analyzing, by a respiratory signal processing section, a respiratory state of the detection subject based on the received respiratory signal;

and when the breathing state of the detection object is abnormal, prompting is carried out through the breathing signal processing part.

The embodiment of the invention provides a non-contact apnea detection method and a non-contact apnea detection system; through breathing signal acquisition part is with the help of radar reflected signal to the detection object, for example lie patient on the sick bed or detected patient gets breathing signal and carries out real-time non-contact ground and gather and carry out wireless transmission, realize real-time and non-contact remote monitoring and breathing unusual suggestion through breathing signal processing part, improve detection efficiency and accuracy, improved detection object's comfort level simultaneously.

Drawings

FIG. 1 is a schematic diagram of a non-contact apnea detection system according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a respiratory signal acquisition unit according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a respiratory signal processing section according to an embodiment of the present invention;

fig. 4 is a schematic flow chart of a LoRa configuration module according to an embodiment of the present invention;

fig. 5 is a schematic diagram of a printing result after the configuration of the LoRa module according to the embodiment of the present invention is completed;

FIG. 6 is a schematic diagram of a respiratory waveform of a human body in a normal respiratory state according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a respiratory waveform of a person in a state of apnea according to an embodiment of the present invention;

FIG. 8 is a schematic flowchart of a non-contact apnea detection system according to an embodiment of the present invention;

fig. 9 is a schematic structural diagram of a specific implementation of a respiratory signal acquisition end according to an embodiment of the present invention;

fig. 10 is a schematic structural diagram of a specific implementation of a receiving processing end according to an embodiment of the present invention;

FIG. 11 is a schematic diagram of recording data according to an embodiment of the present invention;

FIG. 12 is a schematic diagram of another embodiment of the present invention;

fig. 13 is a flowchart illustrating a non-contact apnea detecting method according to an embodiment of the present invention.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

Referring to fig. 1, a non-contact apnea detection system 1 provided by an embodiment of the present invention is shown, where the system 1 may include: a respiratory signal acquisition section 11 and a respiratory signal processing section 12; wherein the content of the first and second substances,

the respiratory signal acquisition part 11 is configured to acquire a respiratory signal of a detected object based on a radar reflection signal and transmit the acquired respiratory signal to the respiratory signal processing part 12 through a wireless transmission link 13;

the respiratory signal processing portion 12 configured to analyze a respiratory state of the subject based on the received respiratory signal; and prompting when the breathing state of the detection object is abnormal.

In the system 1 shown in fig. 1, the respiration signal collecting part 11 collects and wirelessly transmits the respiration signals of a detected object, such as a patient lying on a bed or a detected patient, in a real-time non-contact manner by means of radar reflection signals, and the respiration signal processing part 12 realizes real-time and non-contact remote monitoring and respiration abnormality prompting, so that the detection efficiency and accuracy are improved, and the comfort level of the detected object is improved.

In some possible implementations, the wireless transmission link 13 is preferably a Long-distance wireless communication (LoRa, Long Range) wireless communication link.

In some examples, as shown in fig. 2, the respiratory signal acquisition part 11 includes a biological radar sensor 111, a first main control module 112, and a transmission module 113; wherein the content of the first and second substances,

the biological radar sensor 111 is configured to collect the respiration signal of the detection object based on the radar reflection signal in the sensing range covered by the biological radar sensor and transmit the respiration signal of the detection object to the first main control module 112;

the first main control module 112 is configured to convert the respiration signal of the detected object into a digital signal through an analog-to-digital converter (ADC);

the sending module 113 is configured to send the digital respiration signal of the detected object to the wireless transmission link 13 by using a communication protocol conforming to the wireless transmission link 13.

For the respiratory signal acquisition portion 11 shown in fig. 2, for example, the bio-radar sensor 111, preferably model JC122-3.3UA6, is configured to emit an asymmetric wide beam signal; when a normal person breathes, acquiring echo signals generated by the reflection of the chest aiming at the emission signals when the detection object breathes; and amplifying and filtering the acquired echo signals to obtain ideal breathing signals of the detection object. Further, the biological radar sensor 111 has an extremely sensitive sensing capability, and the sensing range parameters covered by the biological radar sensor include: the horizontal angle ranges from-40 degrees to +40 degrees; the vertical angle ranges from-16 degrees to +16 degrees; the axial distance equivalent to the amplitude of the chest expansion is less than 6 m. Moreover, the biological radar sensor 111 has the characteristics of small and exquisite appearance, low power consumption and suitability for a battery power supply environment, and meets the requirements of a hardware device on small volume and low power consumption.

Along with the above example, the first master control module 112 may be implemented by using a master control chip STM32F103C8T6, which is a 32-bit microcontroller based on ARM Cortex-M kernel STM32 series, and has a program memory capacity of 64KB, and which is Integrated with a Timer, a Controller Area Network (CAN, Controller Area Network), an Analog-to-digital converter (ADC), a Serial Peripheral Interface (SPI, Serial Peripheral Interface), a two-wire synchronous Serial Bus (I2C, Inter-Integrated Circuit), a Universal Serial Bus (USB, Universal Serial Bus), a Universal Asynchronous transceiver/Transmitter (UART), and other internal resources and Peripheral interfaces; c language programming is realized by using the development tool KEIL and downloaded to the first main control module 112, so as to complete the configuration of converting the analog respiration signal collected by the biological radar sensor 111 into a digital signal and performing LoRa communication for the transmission module 113.

Along with the above example, in the process of converting the analog respiration signal collected by the biological radar sensor 111 into the digital signal, the first main control module 112 may limit the ADC conversion value within a set numerical range, and specifically, may convert the respiration signal of the detection object into the corresponding respiration data BR according to the following formula:

BR＝LSB*(ADC_ConvertedValue)/0.033

where LSB denotes a minimum quantization unit of analog-to-digital conversion, and ADC _ ConvertedValue denotes a value after the respiration signal is subjected to ADC.

By the above formula calculation, a set of respiratory data BR with values in the range of 0-100 can be obtained. The data can be drawn into a waveform diagram in real time by software serialcart in a respiratory signal processing part so as to observe the change condition of the respiratory signal of the detection object.

In some examples, referring to fig. 3, the respiratory signal processing portion 12 may include: a receiving module 121, a second main control module 122 and a reminding device 123; wherein the content of the first and second substances,

the receiving module 121 is configured to receive the digital respiration signal of the detected subject from the wireless transmission link 13 by using a communication protocol conforming to the wireless transmission link 13;

the second main control module 122 is configured to transmit the received digital breathing signal to the reminding device through serial port communication;

the reminding device 123 is configured to analyze the breathing state of the detected object based on the digital breathing signal received by the serial port communication; and sending out a reminding signal corresponding to the breathing state of the detected object meeting the set abnormal state criterion.

As shown in fig. 3, the receiving module 121 may communicate using LoRa corresponding to the transmitting module 113. Similarly, the second master control module 122 also needs to perform corresponding configuration on the receiving module 121 for LoRa communication, and in combination with the above description, the second master control module 122 may also be implemented by using a master control chip STM32F103C8T 6.

It should be noted that the operation mode of the LoRa is point-to-point transparent transmission, that is, data is completely transparent, and the information of the sending end and the receiving end is completely the same, so the receiving module 121 as the LoRa receiving end and the sending module 113 as the LoRa sending end need to be configured with the same communication address, channel and rate by the AT command. Therefore, the configuration flow of the first master control module 112 for performing the LoRa communication protocol on the transmitting module 113 and the second master control module 122 for performing the receiving module 121 may be as shown in fig. 4. Since the sending module 113 and the receiving module 121 both use LoRa for communication, the sending module 113 and the receiving module 121 may be collectively referred to as LoRa modules in fig. 4, and referring to fig. 4, the process may include: s41: the main control chip detects the LoRa module. S42: judging whether the detection is successful: if the detection fails, returning to S41 to continue the detection; if the detection is successful, the process goes to S43: setting an address for the LoRa module; then, execution of S44: judging whether the LoRa module detects the address setting successfully; if the detection fails, returning to S41 to continue the detection; if the detection is successful, the process goes to S45: setting a channel and a rate for the LoRa module; then, execution proceeds to S46: judging whether the LoRa module detects the channel and the rate setting successfully; if the detection fails, returning to S41 to continue the detection; if the detection is successful, the process goes to S47: and setting the working mode, the baud rate and the data check bit of the LoRa module. When all the above settings are completed, S48: the LoRa module setup was successful. In addition, after the loRa module sets up successfully, the serial ports can print configuration information and initialization information, the printing result is as shown in fig. 5, if the loRa module still possesses the LED of reminding the function etc., then set up corresponding LED lamp after the success and can twinkle twice then go out.

For the above example shown in fig. 3, preferably, the reminding device 123 is configured to:

when the breathing state of the detected object is apnea, recording the apnea times and the duration of the current apnea;

and sending out an alarm signal corresponding to the fact that the duration of the apnea exceeds a set duration threshold or the apnea frequency exceeds a set frequency threshold.

For the above preferred example, specifically, the breathing waveform diagram can be observed through a preset simulation experiment for the apnea state, and as shown in fig. 6 and fig. 7, the following conclusion can be obtained: under the normal breathing state of the human body, the breathing waveform changes regularly, as shown in fig. 6; when the human body pauses breathing, the breathing waveform in the pause stage is a relatively stable waveform, as shown in the selected part of the box in fig. 7. Based on the monitoring method, the change of the respiration oscillogram can be observed, so that the remote, non-contact and real-time monitoring can be realized for the respiration state of the detection object.

Continuing to design a control experiment on the basis of the simulation experiment, wherein the experiment components are 4 groups, and two groups of simulation experiments are respectively set for the apnea after inspiration and the apnea after expiration; the control group was divided into 4 groups, which were directed to four states of shallow breathing, slow breathing, rapid breathing, and deep breathing, respectively. The respiratory states of different crowds are simulated, and the experimental reliability is improved. The difference between apnea and normal respiration is comprehensively analyzed, respiratory values BR in different types of normal respiration and apnea periods are recorded and are shown in table 1, and analysis is carried out on the aspects of centralized trend, deviation trend and the like on the basis of the table 1.

TABLE 1

Based on the data in table 1, the mean and standard deviation of a plurality of experimental respiratory values (BR) over one period were calculated, as shown in table 2:

TABLE 2

From the data processing results of table 2, it can be concluded that: the standard deviation of apnea breath data is below 30, which is not readily apparent in comparison to normal breathing. Because the biological radar detects the human respiration signal through the vibration generated by the thoracic cavity when the radar detects the human respiration, the respiration habits of different people are different, so that the effect of distinguishing normal respiration from apnea by using the method is not ideal.

The following elicitations were obtained from the above experiments: the range of normal breathing group is always much larger than that of apnea group in a single cycle, thus obtaining a threshold BS to distinguish normal breathing from apnea. The respiration data BR corresponding to the digital respiration signal is periodically stored in an array through a single chip microcomputer program to calculate a maximum value and minimum value difference BN, when the value BN is smaller than BS, the respiration pause state can be determined, and the number of times of respiration pause and the pause duration time of each time are recorded at the moment. When the detected object has long-term apnea or a large number of apnea times, the reminding device 123 can perform emergency alarm by triggering the buzzer to prompt medical staff to check the condition of the detected object in time.

Preferably, the reminding device 123 is further configured to perform visualization processing on the digital respiratory signal received by the serial port communication by using a set visualization scheme, so as to obtain a waveform diagram corresponding to the respiratory signal of the detection object.

For the above preferred examples, the reminder device 123 may in particular be a terminal device capable of data transmission and information processing, and may in particular be a medical station device, a wireless device, a mobile or cellular phone (including so-called smart phones), a Personal Digital Assistant (PDA), a video game console (including video displays, mobile video game devices, mobile video conferencing units), a laptop computer, a desktop computer, a television set-top box, a tablet computing device, an e-book reader, a fixed or mobile media player, etc.

In addition, there are many serial port data visualization schemes, for example: the serial oscilloscope is manufactured by using a SerialChart serial port tool, yecharts calling Python, matplotlib and other tool libraries and LabVIEW. In the embodiment of the invention, SerialChart serial port waveform display software is preferably used, and the waveform display software can be configured for user-defined waveform colors, waveform channels, waveform display window background colors and the like through texts. In addition, parameters such as port number, baud rate, size range of received data, and the like can be configured. Serial port data transmitted by the second main control module 122 is drawn into a oscillogram in real time through SerialChart to realize real-time feedback, so that the breathing condition of a detection object can be better reflected, and the monitoring efficiency of medical personnel is effectively improved.

Based on the system 1 described above, in a specific implementation process, the workflow is shown in fig. 8, and may include:

s81: the biological radar sensor 111 collects a respiratory signal of a detection object;

s82: the main control chip STM32F103C8T6 of the first main control module 112 performs AD conversion on the respiratory signal of the detection object to obtain a digital respiratory signal of the detection object and converts the digital respiratory signal into corresponding respiratory data BR;

s83: the main control chip STM32F103C8T6 of the first main control module 112 transmits the respiratory data BR of the detection object to the sending module 113 serving as an LoRa sending end through serial port communication;

s84: the sending module 113 transmits the respiratory data BR of the detected object through an LoRa wireless link;

s85: a receiving module 121 serving as a LoRa receiving end receives the respiratory data BR of the detection object and transmits the respiratory data BR to a second main control module 122 through serial port communication;

s86: the main control chip STM32F103C8T6 of the second main control module 122 acquires the range BN of the respiratory data BR of the detection object in the period;

s87: the second main control module 122 compares the range BN with a threshold BS obtained in advance through experimental analysis for distinguishing between normal breathing and apnea, to determine whether the subject is apneic; if BN > BS, go to S88: determining that the respiratory state of the detection object is normal, and recording the respiratory data of the detection object; if BN < BS, determining that the subject is apneic and continuing to perform S89: judging the duration of the apnea state; if the respiration is suspended for a long time, S90 is switched to trigger the buzzer to alarm and draw a respiration oscillogram in real time; if short apnea occurs, go to S91: and recording apnea data and drawing a respiration oscillogram in real time.

For the flow shown in fig. 8, since it also involves a part of the threshold BS for distinguishing between normal breathing and apnea, which is obtained in advance through experimental analysis, as shown in fig. 8, it may further include: s80: analyzing a normal respiration value and an apnea value to obtain a threshold value BS for distinguishing normal respiration from apnea; it is to be understood that after obtaining the threshold BS, the threshold BS may be provided to the second master module 122 to perform the determining step of step S87, and the details of the embodiment of the present invention are not repeated.

For the applicability of the system 1 set forth above, embodiments of the present invention were tested through the following scenario:

the first effective detection distance to the detection object is tested, particularly, the test means is that the patient is remotely monitored by the system 1 and a respiratory signal real-time oscillogram received by a medical station as a reminding device is observed, and when the patient has long-time respiratory pause, the system can use a buzzer to alarm to prompt medical staff to check in time. Multiple tests lead to the conclusion that: the waveform of the more regular part is the signal for detecting the normal breathing of the human body, and the more gentle and disordered waveform is the signal for detecting the apnea of the human body. The biological radar sensor 111 is placed at the front 1m position of the chest of the human body for detection, and the distance is increased by 0.5 m. Through tests, the effective distance of the biological radar sensor 111 for detecting the human body respiration signal can reach more than 2 m.

The second item tests the maximum communication distance of the system 1, specifically, because the system 1 communicates in a LoRa wireless transmission mode, a conclusion is drawn after a plurality of groups of test result analyses in different environments: the maximum communication distance L of the system 1, i.e. the maximum distance of the wireless transmission link 13, may be more than 1 km. The steps of testing the communication distance are as follows:

firstly, in open environment, the position of the respiration signal acquisition part 11 is fixed, and the distance between the respiration signal processing part 12 and the respiration signal acquisition part 11 is changed. The set length is increased gradually, and the maximum LoRa communication distance L can reach 1.2 km.

Then, in a multi-house shielding environment, the position of the respiration signal acquisition part 11 is fixed, and the distance between the respiration signal processing part 12 and the respiration signal acquisition part 11 is changed. The set length is increased gradually, and the maximum LoRa communication distance L can reach 1 km.

For the apnea alarm test, in detail, as shown in fig. 9, the respiration signal acquisition end for specifically implementing the respiration signal acquisition portion 11 may be composed of a biological radar sensor 111, an STM32 single chip microcomputer as the first main control module 112, an LoRa module as the transmission module 113, and components such as a buzzer and a switch. The biological radar sensor realizes the collection of human breathing signal, converts into digital signal through STM32 singlechip AD, and the long-distance real-time transmission of breathing signal is to the receiving process end that is used for realizing breathing signal processing part 12 through the loRa module at last.

As shown in fig. 10, the receiving and processing end for implementing the respiratory signal processing portion 12 may include an STM32 single chip microcomputer as the second main control module 122, an LoRa module as the receiving module 121, and a buzzer as the reminding device 123. The received breathing signal is sent to the STM32 singlechip through serial port communication's mode by the LoRa module and is carried out apnea's judgement processing, timely feedback patient apnea condition through bee calling organ. Based on the respiratory signal acquisition end and the receiving and processing end, when the third test is carried out, the respiratory signal acquisition end is placed at a position which is 1.5m away from the chest of the test object (such as a test person). The testers simulate 10 times of apnea each time, alarm test experiments are carried out, as shown in table 3, the actual alarm times are recorded for verification and statistics, the result shows that the average accuracy can reach 94%, and the system has high reliability.

TABLE 3

Experimental number	Simulating apnea times/times	Number of times/number of detections	Rate of accuracy/%)
				1	10	9	90
2	10	10	100
				3	10	9	90
4	10	9	90
				5	10	10	100
6	10	9	90
				7	10	8	80
8	10	10	100
				9	10	10	100
10	10	10	100

For the third test described above, the specific alarm test experiments were as follows: as can be seen from the recorded data shown in fig. 11: when the detected object in the periodic apnea detection is in a normal breathing state, the system 1 records breathing data and prompts normal breathing information (normal breath); when the system detects abnormal breathing data after the detection object simulates short apnea, the system records the number of apnea times (stop times) and the duration of each apnea time (pause time). When the detected object is abnormal in continuous breathing for a long time, the system starts a buzzer to give an alarm, and as can be known from the recorded data shown in fig. 12: when the duration of the subject apnea lasts 15s or more, the system prompts the user with "warming! | A | A | A | A The alarm information of the character is simultaneously started by the buzzer to alarm, so that the detection times are counted to determine the reliability.

Based on the same inventive concept in the foregoing technical solution, referring to fig. 13, a non-contact apnea detecting method provided in an embodiment of the present invention is shown, and the method may be applied to the non-contact apnea detecting system 1 set forth in the foregoing technical solution, and the method may include:

s1301: the respiration signal acquisition part acquires the respiration signal of the detection object based on the radar reflection signal and transmits the acquired respiration signal to the respiration signal processing part through a wireless transmission link;

s1302: analyzing, by a respiratory signal processing section, a respiratory state of the detection subject based on the received respiratory signal;

s1303: and when the breathing state of the detection object is abnormal, prompting is performed through a breathing signal processing part.

With regard to the above solution, in some examples, the acquiring, by a respiratory signal acquiring portion, a respiratory signal of a detected object based on a radar reflection signal and transmitting the acquired respiratory signal to a respiratory signal processing portion through a wireless transmission link in S1301 includes:

collecting the respiratory signal of the detection object based on radar reflection signals in a sensing range covered by a biological radar sensor in the respiratory signal collection part, and transmitting the respiratory signal of the detection object to a first main control module in the respiratory signal collection part;

converting the breathing signal of the detected object into a digital signal by using the first main control module through an analog-to-digital conversion (ADC);

and sending the digital breathing signal of the detected object to the wireless transmission link by using a communication protocol conforming to the wireless transmission link through a sending module in the breathing signal acquisition part.

It can be understood that, since the technical solution and the example shown in fig. 13 belong to the same inventive concept as the non-contact apnea detecting system 1 set forth in the foregoing technical solution, details of the technical solution and the example shown in fig. 13 for detailed description can be referred to the related description of the technical solution of the non-contact apnea detecting system 1, and the embodiment of the present invention is not repeated herein.

It is understood that in this embodiment, "part" may be part of a circuit, part of a processor, part of a program or software, etc., and may also be a unit, and may also be a module or a non-modular.

In addition, each component in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit. The integrated unit can be realized in a form of hardware or a form of a software functional module.

Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

Therefore, the present embodiment provides a computer storage medium, which stores a non-contact apnea detecting program, and the non-contact apnea detecting program implements the steps of the non-contact apnea detecting method in the above technical solution when executed by at least one processor.

It should be noted that: the technical schemes described in the embodiments of the present invention can be combined arbitrarily without conflict.

The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A non-contact apnea detection system, said system comprising: a respiratory signal acquisition part and a respiratory signal processing part; wherein the content of the first and second substances,

the respiratory signal acquisition part is configured to acquire a respiratory signal of a detection object based on a radar reflection signal and transmit the acquired respiratory signal to the respiratory signal processing part through a wireless transmission link;

the respiratory signal processing section configured to analyze a respiratory state of the test subject based on the received respiratory signal; and prompting when the breathing state of the detection object is abnormal.

2. The system of claim 1, wherein the respiratory signal acquisition part comprises a biological radar sensor, a first main control module and a sending module; wherein the content of the first and second substances,

the biological radar sensor is configured to collect a respiration signal of the detection object based on a radar reflection signal in a sensing range covered by the biological radar sensor and transmit the respiration signal of the detection object to the first main control module;

the first main control module is configured to convert the breathing signal of the detected object into a digital signal through an analog-to-digital conversion (ADC);

the sending module is configured to send the digital respiration signal of the detected object to the wireless transmission link by using a communication protocol conforming to the wireless transmission link.

3. The system of claim 2, wherein the biometric radar sensor is configured to emit an asymmetric wide beam signal; when a normal person breathes, acquiring echo signals generated by the reflection of the chest aiming at the emission signals when the detection object breathes; and amplifying and filtering the acquired echo signals to obtain ideal breathing signals of the detection object.

4. The system of claim 3, wherein the parameters of the sensing range covered by the biometric radar sensor include: the horizontal angle ranges from-40 degrees to +40 degrees; the vertical angle ranges from-16 degrees to +16 degrees; the axial distance equivalent to the amplitude of the chest expansion is less than 6 m.

5. The system of claim 2, wherein the first master module is configured to: converting the respiratory signal of the detected object into corresponding respiratory data BR according to the following formula:

BR＝LSB*(ADC_ConvertedValue)/0.033

where LSB denotes a minimum quantization unit of analog-to-digital conversion, and ADC _ ConvertedValue denotes a value after the respiration signal is subjected to ADC.

6. The system of claim 2, wherein the respiratory signal processing section comprises: the system comprises a receiving module, a second main control module and a reminding device; wherein the content of the first and second substances,

the receiving module is configured to receive the digital respiration signal of the detected object from the wireless transmission link by utilizing a communication protocol conforming to the wireless transmission link;

the second main control module is configured to transmit the received digital breathing signal to the reminding device through serial port communication;

the reminding device is configured to analyze the breathing state of the detection object based on the digital breathing signal received by the serial port communication; and sending out a reminding signal corresponding to the breathing state of the detected object meeting the set abnormal state criterion.

7. The system of claim 6, wherein the reminder device is configured to:

when the breathing state of the detected object is apnea, recording the apnea times and the duration of the current apnea;

and sending out an alarm signal corresponding to the fact that the duration of the apnea exceeds a set duration threshold or the apnea frequency exceeds a set frequency threshold.

8. The system of claim 6, wherein the reminding device is further configured to perform visualization processing on the digital respiration signals received by the serial port communication by using a set visualization scheme, so as to obtain a waveform diagram corresponding to the respiration signals of the detected object.

9. A non-contact apnea detection method applied to the non-contact apnea detection system of any one of claims 1 to 8, said method comprising:

the respiration signal acquisition part acquires the respiration signal of the detection object based on the radar reflection signal and transmits the acquired respiration signal to the respiration signal processing part through a wireless transmission link;

analyzing, by a respiratory signal processing section, a respiratory state of the detection subject based on the received respiratory signal;

and when the breathing state of the detection object is abnormal, prompting is carried out through the breathing signal processing part.

10. The method according to claim 9, wherein the collecting the respiration signal of the detected object based on the radar reflection signal by the respiration signal collecting part and transmitting the collected respiration signal to the respiration signal processing part via a wireless transmission link comprises:

collecting the respiratory signal of the detection object based on radar reflection signals in a sensing range covered by a biological radar sensor in the respiratory signal collection part, and transmitting the respiratory signal of the detection object to a first main control module in the respiratory signal collection part;

converting the breathing signal of the detected object into a digital signal by using the first main control module through an analog-to-digital conversion (ADC);

and sending the digital breathing signal of the detected object to the wireless transmission link by using a communication protocol conforming to the wireless transmission link through a sending module in the breathing signal acquisition part.

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