Passenger breathing abnormality intervention method and vehicle

Abstract

The application provides a passenger respiratory abnormality intervention method and a vehicle. The passenger respiratory abnormality intervention method receives a radar echo signal collected by an in-vehicle radar module. The radar echo signal is a signal reflected by an in-vehicle obstacle after the in-vehicle radar module sends a radar signal. From the radar echo signal, a respiratory echo signal representing passenger chest fluctuation is extracted. If the respiratory echo signal represents that the passenger has respiratory abnormality, a target in-vehicle component is controlled to perform a respiratory abnormality intervention operation, so that the passenger's breathing returns to normal. In this way, the passenger's sleep safety can be protected, and the safety hazards of passenger hypoxia and suffocation can be avoided.

Description

Technical Field

[0001] This application relates to the field of passenger safety technology, and in particular to a method for intervening in abnormal breathing in passengers and a vehicle. Background Technology

[0002] As the level of automotive intelligence continues to improve, the intelligent cockpit is evolving from a simple "interaction space" to a "health steward." The life, health, and safety of passengers during long-distance driving or rest stops, especially respiratory health during sleep, has become a focus of industry attention.

[0003] Currently, in the field of passenger safety, radar echo signals can be used for passenger abandonment detection (such as children left behind). For example, radar emits frequency-modulated continuous wave signals and receives echoes. The detection space is divided into multiple distance units through distance dimension analysis, and a distance gate corresponding to the seat area is identified. Subsequently, the algorithm uses moving target indication (MPI) filtering or background subtraction to filter out strong reflections from static objects such as seats and interior trim, retaining only the dynamic micro-motion signals generated by chest rise and fall. To further improve detection reliability, the system continuously observes the energy stability and periodicity of this dynamic signal—if a regular breathing rhythm is detected within a continuous time window, it is determined that a passenger has been left behind in the vehicle. Another example is using radar echo signals for basic respiratory rate monitoring. For instance, after the radar locks onto the distance unit corresponding to the human chest cavity, it extracts the phase change of the echo signal. The captured phase change signal is filtered by a bandpass filter to remove heartbeat and noise interference, resulting in a clean breathing waveform. Frequency calculation can be performed using either peak detection (calculating the time interval between adjacent peaks) or frequency domain analysis (performing a fast Fourier transform on the waveform within a short time window and taking the frequency corresponding to the peak value of the spectrum), ultimately yielding a respiratory rate value in "breaths / minute".

[0004] However, the above process did not involve any safety protection for passengers sleeping, which resulted in potential safety hazards such as hypoxia and suffocation for passengers. Summary of the Invention

[0005] This application provides a method and vehicle for intervening in abnormal passenger breathing, which addresses the problem in the prior art where the lack of safety protection for passenger sleep leads to safety hazards such as hypoxia and suffocation.

[0006] In a first aspect, this application provides a method for intervening in abnormal breathing in passengers, applied to an onboard controller of a vehicle, wherein the onboard controller is communicatively connected to the vehicle's in-vehicle radar module and target in-vehicle components, and the method includes: Receive radar echo signals collected by the in-vehicle radar module, wherein the radar echo signals are signals reflected back by obstacles inside the vehicle after the radar signals emitted by the in-vehicle radar module are emitted. From the radar echo signal, extract the respiratory echo signal that characterizes the rise and fall of the passenger's chest cavity; If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the target in-vehicle components are controlled to perform a respiratory abnormality intervention operation.

[0007] In some implementations, if the respiratory echo signal indicates that the passenger has a respiratory abnormality, controlling the target in-vehicle components to perform a respiratory abnormality intervention operation includes: If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the degree of the passenger's respiratory abnormality is determined based on the respiratory echo signal. Based on the degree of abnormality in the passenger's breathing, control the target vehicle interior components to perform breathing abnormality intervention operations.

[0008] In some embodiments, the target vehicle interior components include a fresh air system, seats, and an alarm module. The step of controlling the target vehicle interior components to perform respiratory abnormality intervention operations based on the degree of abnormality in the passenger's breathing includes: When the abnormality of the passenger's breathing indicates that the passenger is snoring, the fresh air system is controlled to increase the proportion of fresh air and the air outlet speed. When the degree of abnormality in the passenger's breathing indicates that the passenger is in a state of apnea, control the seat to tilt to the side and the seat back to rise; When the abnormality of the passenger's breathing indicates that the passenger is in a high-risk emergency, the system controls the fresh air system to increase the proportion of fresh air and the air outlet speed, the seat to tilt to the side and the seat back to lift, and the alarm module to execute an alarm operation.

[0009] In some implementations, determining the degree of abnormality in the passenger's breathing based on the respiratory echo signal includes: The passenger's apnea-hypopnea index was determined based on the respiratory echo signal. The degree of abnormality in the passenger's breathing is determined based on the apnea-hypopnea index, wherein the degree of abnormality in the passenger's breathing is positively correlated with the apnea-hypopnea index.

[0010] In some implementations, determining the passenger's apnea-hypopnea index based on the respiratory echo signal includes: Based on the respiratory echo signal, the total number of respiratory arrest events, the total number of hypoventilation events, and the total duration of the passenger's sleep were identified. The passenger's apnea-hypopnea index is obtained by dividing the sum of the total number of respiratory arrest events and the total number of respiratory hypopnea events by the total duration of the passenger's sleep.

[0011] In some implementations, identifying the total number of respiratory arrest events and the total number of hypoventilation events includes: If the decrease in the echo waveform in the respiratory echo signal exceeds a first amplitude threshold and remains for a first duration, a respiratory arrest event is determined to have occurred, and the total number of respiratory arrest events is counted. If the decrease in the echo waveform corresponding to N consecutive breaths in the respiratory echo signal exceeds the second amplitude threshold and remains at the second duration, a hypoventilation event is determined to have occurred, and the total number of hypoventilation events is counted, where N is an integer greater than 2.

[0012] In some embodiments, before controlling the target in-vehicle component to perform a respiratory abnormality intervention operation if the respiratory echo signal indicates that the passenger has a respiratory abnormality, the method further includes: The radar echo signal is used to identify the passenger's heart rate and whether the passenger is moving, as well as to receive the CO2 concentration inside the vehicle collected by the vehicle's CO2 sensor; If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then control the target vehicle interior component to perform a respiratory abnormality intervention operation, including: if the passenger's heart rate is greater than a set heart rate threshold, the vehicle interior CO2 concentration is greater than a set concentration threshold, the passenger does not move, and the respiratory echo signal indicates that the passenger has a respiratory abnormality, then control the target vehicle interior component to perform a respiratory abnormality intervention operation.

[0013] Secondly, this application also provides a vehicle including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the vehicle performs the method provided in the first aspect of this application.

[0014] Thirdly, this application also provides a storage medium storing a computer program that, when executed by a processor, causes a computer to perform the method provided in the first aspect of this application.

[0015] Fourthly, this application also provides a computer program product, including a computer program that, when run, causes a vehicle to perform the method provided in the first aspect of this application.

[0016] Fifthly, this application also provides a passenger respiratory abnormality intervention device, applied to a vehicle's onboard controller, wherein the onboard controller is communicatively connected to the vehicle's in-vehicle radar module and target in-vehicle components, and the device includes: A signal receiving unit is used to receive radar echo signals collected by the in-vehicle radar module, wherein the radar echo signals are signals reflected back by obstacles inside the vehicle after the radar module emits radar signals. The signal extraction unit is used to extract respiratory echo signals that characterize the rise and fall of the passenger's chest cavity from the radar echo signals. A respiratory intervention unit is used to control the target in-vehicle components to perform respiratory abnormality intervention operations if the respiratory echo signal indicates that the passenger has a respiratory abnormality.

[0017] Compared to existing technologies, this application offers the following technical advantages: The method for intervening in abnormal passenger breathing provided by this application receives radar echo signals collected by an in-vehicle radar module. These radar echo signals are signals reflected back from obstacles within the vehicle after the in-vehicle radar module emits a radar signal. From the radar echo signals, respiratory echo signals characterizing the rise and fall of the passenger's chest cavity are extracted. If the respiratory echo signals indicate that the passenger has a breathing abnormality, the system controls target in-vehicle components to perform respiratory abnormality intervention operations, restoring the passenger's breathing to normal. This provides safety protection for passengers during sleep, avoiding the safety hazards of passenger hypoxia and suffocation. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 A schematic diagram illustrating the communication connection between the vehicle controller and the vehicle's in-vehicle radar module and the target vehicle's in-vehicle components, provided in an embodiment of this application. Figure 2 A flowchart of a passenger's respiratory abnormality intervention method provided in an embodiment of this application; Figure 3 A functional block diagram of a passenger respiratory abnormality intervention device provided in an embodiment of this application; Figure 4 A block diagram of a vehicle provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of the embodiments of this application.

[0021] The technical solutions of this application and how they solve the aforementioned technical problems will be described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0022] This application provides a method for intervening in a passenger's abnormal breathing, applied to a vehicle's onboard controller 101. The onboard controller 101 is communicatively connected to the vehicle's in-vehicle radar module 102 (such as millimeter-wave radar) and a target in-vehicle component 103. The onboard controller 101 may include a cockpit domain controller and a body domain controller that are communicatively connected. The cockpit domain controller is communicatively connected to the in-vehicle radar module 102, and the body domain controller is used to communicate with the target in-vehicle component 103, wherein the target in-vehicle component 103 can be used to intervene in the passenger's breathing.

[0023] Specifically, the Cockpit Domain Controller (CDC) is the "brain" and interaction center of the smart cockpit. It typically runs a complex operating system based on a high-performance chip, integrating functions such as instrument cluster, central infotainment, voice interaction, and facial recognition. It also provides computing power support for the growing number of AI applications (such as driver monitoring and health monitoring). The CDC receives raw data reported by the in-vehicle radar module 102, performs respiratory waveform analysis, and ultimately determines tiered intervention commands. The Body Domain Controller (BDCU) focuses on the management of vehicle electronics and actuators. Based on a more real-time microprocessor, it controls underlying hardware such as windows, door locks, seat adjustment motors, air conditioning blowers, and internal / external air circulation dampers. Its core responsibility is to receive intervention commands from the CDC (such as "raise the front of the seat cushion by 15mm" or "adjust the fresh air damper opening to 80%) and drive actuators to complete the actions via the CAN bus using precise PWM signals or motor drive commands. Millimeter-wave radar is the core sensor for non-contact perception. It transmits frequency-modulated continuous waves and receives radar echoes reflected from the human chest cavity. It extracts millimeter-level chest cavity displacement using phase changes, and then separates the respiratory waveform and heartbeat signal through digital signal processing. Its advantages include being unaffected by light, dust, or thin blankets, and protecting privacy by not acquiring images. Inside the vehicle, it typically operates in the 60GHz band, using an antenna array to achieve three-dimensional spatial perception of distance, angle, and speed. This allows it to accurately locate the occupant's chest cavity and monitor its subtle movements in the complex cabin environment. In summary, millimeter-wave radar is responsible for "perception," the cabin domain controller is responsible for "decision-making," and the body domain controller is responsible for "execution," together forming a complete and efficient closed-loop intervention system for respiratory health.

[0024] like Figure 2 As shown, the method provided in this application embodiment includes: S201: Receive radar echo signals collected by the in-vehicle radar module 102, wherein the radar echo signals are signals reflected back by obstacles inside the vehicle after the radar signals emitted by the in-vehicle radar module 102 are emitted.

[0025] S202: Extract respiratory echo signals that characterize the rise and fall of the passenger's chest cavity from the radar echo signals.

[0026] It should be noted that extracting respiratory echo signals representing the rise and fall of a passenger's chest cavity from radar echo signals is essentially a process of "fishing out" weak dynamic signals from strong clutter, consisting of two core steps: spatial localization and clutter filtering. The first step is spatial localization: the in-vehicle radar module 102 transmits a frequency-modulated continuous wave signal. The distance to the target is determined by calculating the frequency difference (i.e., the difference frequency) between the transmitted signal and the echo signal. The entire detection space is divided into multiple distance units, and the distance unit corresponding to the seat area is locked. The phase information within this distance unit is extracted—because the millimeter-level displacement of the chest cavity during breathing is directly reflected in the change of the echo phase. Static objects at other distances (such as the windshield and rear seat back) are excluded from the analysis. The second step is clutter filtering and signal separation: static clutter can be completely filtered out using a moving target indication filter or background subtraction method, retaining only the dynamic phase change signal. Subsequently, this dynamic phase change signal is passed through a bandpass filter (the passband is usually set to 0.1~0.5Hz, corresponding to a respiratory rate range of 6~30 breaths / minute) to filter out the heartbeat signal (0.8~2.0Hz) and higher frequency noise components (strong reflection components from static objects such as seat backs and weak change components from chest cavity micro-movements), finally obtaining a clean and continuous respiratory echo signal that represents the rise and fall of the passenger's chest cavity.

[0027] It should be noted that S201-S202 mentioned above can be executed based on the cockpit domain controller.

[0028] S203: If the respiratory echo signal indicates that the passenger has a respiratory abnormality, control the target vehicle interior component 103 to perform a respiratory abnormality intervention operation.

[0029] It should be noted that S203 can be executed based on the vehicle domain controller.

[0030] Furthermore, S203 can be specifically implemented as follows: if the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the degree of the passenger's respiratory abnormality is determined based on the respiratory echo signal; based on the degree of the passenger's respiratory abnormality, the target vehicle interior component 103 is controlled to perform a respiratory abnormality intervention operation.

[0031] Optionally, the specific method for determining the degree of abnormality in a passenger's breathing may be: Step A1: Determine the passenger's apnea-hypopnea index based on the respiratory echo signal.

[0032] For example, the total number of respiratory arrest events, the total number of respiratory hypopnea events, and the total duration of sleep can be identified based on respiratory echo signals; the sum of the total number of respiratory arrest events and the total number of respiratory hypopnea events is divided by the total duration of sleep to obtain the passenger's apnea-hypopnea index.

[0033] Further exemplarily, if the decrease in the echo waveform of the respiratory echo signal exceeds a first amplitude threshold (e.g., 90% of the initial amplitude) and remains for a first duration (e.g., 10 seconds), a respiratory arrest event is determined to have occurred, and the total number of respiratory arrest events is counted. If the decrease in the echo waveform corresponding to N consecutive breaths in the respiratory echo signal exceeds a second amplitude threshold (e.g., 30% of the initial amplitude) and remains for a second duration (e.g., 10 seconds), a hypopnea event is determined to have occurred, and the total number of hypopnea events is counted. Here, N is an integer greater than 2, such as N could be equal to 3, 4, or 5, etc., and is not limited here.

[0034] Step A2: Determine the degree of abnormality in the passenger's breathing based on the apnea-hypopnea index, where the degree of abnormality in the passenger's breathing is positively correlated with the apnea-hypopnea index.

[0035] For example, if the apnea-hypopnea index is greater than 5 and less than 15, the passenger is identified as having mild respiratory abnormalities (e.g., the passenger is snoring); if the apnea-hypopnea index is greater than 15 and less than 30, the passenger is identified as having moderate respiratory abnormalities (e.g., the passenger is experiencing apnea); and if the apnea-hypopnea index is greater than 30, the passenger is identified as having severe respiratory abnormalities (e.g., the passenger is in a high-risk respiratory condition).

[0036] Thus, the target vehicle interior component 103 includes a fresh air system, seats, and an alarm module, based on the degree of abnormality in the passenger's breathing. S203 can be specifically implemented as follows: When a passenger's abnormal breathing indicates snoring, the fresh air system should be adjusted to increase the proportion of fresh air and the airflow velocity. This increases the oxygen content in the environment and improves air circulation, which can reduce snoring or shallow breathing through physical stimulation.

[0037] When a passenger's abnormal breathing indicates that they are experiencing sleep apnea, adjust the seat tilt and backrest. This changes body position (such as elevating the head or back, or tilting the body to the side) to open the airway and improve the sleep apnea situation.

[0038] When a passenger's abnormal breathing indicates a high-risk emergency situation, the system controls the fresh air system to increase the fresh air ratio and outlet air velocity, tilts the seat to the side and raises the seat back, and activates the alarm module. This increases ambient oxygen levels, improves air circulation, and alters body position (e.g., elevating the head or back, or tilting the body to the side) to open the airway, and provides external intervention to improve the high-risk breathing situation. The alarm module can be an audible and visual alarm to alert the passenger to wake up promptly and prevent hypoxia and suffocation; it can also be a remote alarm module to send alarm information to the passenger's emergency contact or guardian, enabling them to promptly alert the passenger or transport the passenger with hypoxia and suffocation to the hospital.

[0039] In summary, the passenger breathing abnormality intervention method provided in this application embodiment can receive radar echo signals collected by the in-vehicle radar module 102, wherein the radar echo signal is the signal reflected back by obstacles inside the vehicle after the radar signal emitted by the in-vehicle radar module 102. From the radar echo signal, a breathing echo signal representing the rise and fall of the passenger's chest cavity is extracted; if the breathing echo signal indicates that the passenger has a breathing abnormality, the target in-vehicle component 103 is controlled to perform a breathing abnormality intervention operation, so that the passenger's breathing returns to normal. In this way, passenger sleep safety can be protected, avoiding the safety hazards of passenger hypoxia and suffocation.

[0040] In addition, S203 can also be specifically implemented as follows: Step B1: Identify the passenger's heart rate and whether the passenger has moved based on the radar echo signal, and receive the CO2 concentration inside the vehicle collected by the vehicle's CO2 sensor.

[0041] It's important to note that extracting heart rate from radar echo signals hinges on separating the minute displacements caused by the heartbeat from the subtle complex movements of the chest cavity. The heartbeat causes extremely weak vibrations in the chest cavity, approximately 0.1–0.5 mm. Compared to the 1–12 mm displacement caused by respiration, the amplitude of the heartbeat signal is only one-tenth or even smaller, and its frequency (0.8–2.0 Hz) often falls within the coverage of respiratory harmonics, making it easily masked. Therefore, heart rate extraction cannot rely solely on simple filtering; an adaptive noise decomposition algorithm is required. Specifically, after locating the chest cavity and obtaining the phase change signal, a bandpass filter (usually set to 0.8–2.0 Hz) is first used to roughly extract the frequency band containing the heartbeat component. Then, variational mode decomposition or discrete wavelet transform methods are used to decompose the mixed signal into several intrinsic mode components based on frequency and amplitude characteristics, identifying the components that highly match the heartbeat cycle. Subsequently, by performing peak detection or spectral analysis on this component, the interval between adjacent heartbeats is calculated, and the heart rate is finally obtained in "beats / minute".

[0042] Furthermore, body movement detection is relatively intuitive, its core being the capture of abrupt and non-periodic amplitude patterns in radar echo signals. When an occupant performs body movements such as turning over, adjusting their sitting posture, or waving their arms, multiple parts of the body simultaneously undergo significant displacement, causing drastic and irregular changes in the overall amplitude, phase, and spatial distribution (range-angle spectrum) of the radar echo. This allows for continuous monitoring of the amplitude change rate of the original echo signal. When a signal intensity change at a certain moment is detected to far exceed the baseline fluctuation level caused by normal breathing and heartbeat (e.g., exceeding 3-5 times the baseline amplitude), body movement is confirmed.

[0043] Step B2: If the passenger's heart rate is greater than the set heart rate threshold, the CO2 concentration in the vehicle is greater than the set concentration threshold, the passenger does not move, and the respiratory echo signal indicates that the passenger has respiratory abnormalities, then control the target vehicle component 103 to perform respiratory abnormality intervention operations.

[0044] Understandably, a single radar signal in a driving environment is highly susceptible to interference from vehicle vibrations, air conditioning vents, or electromagnetic noise, potentially triggering false respiratory alarms. Therefore, the system uses elevated heart rate as evidence of physiological stress—heart rate increases compensatorily during hypoxia—and elevated CO2 concentration as independent evidence of environmental deterioration—reflecting poor cabin ventilation and obstructed gas exchange. This is further reinforced by the condition of "no body movement" to eliminate transient distortions in respiratory waveforms caused by active behaviors such as talking, turning over, or waving, ensuring that the collected respiratory signals accurately reflect the physiological state at rest. Only when respiratory abnormalities are accompanied by elevated heart rate, excessive CO2 concentration, and confirmation of the occupant's stillness, is it considered a genuine risk event requiring intervention, and tiered intervention is implemented. This rigorous multi-verification mechanism significantly reduces false alarms caused by driving vibrations and daily behaviors, ensuring that every air conditioning adjustment, seat tweak, or audible / visual alarm is supported by sufficient evidence. This makes health interventions in the intelligent cockpit timely and reliable without causing unnecessary disturbance to the occupants.

[0045] In addition, an in-vehicle sleep health record can be generated based on the total number of respiratory arrest events, the total number of hypopnea events, and the apnea-hypopnea index, which passengers can access and browse.

[0046] Specifically, during occupant sleep, every respiratory arrest and hypopnea event is continuously recorded, and the total number of apnea events and hypopnea events are accumulated. The sum of the two is divided by the total sleep duration apnea-hypopnea index. When generating the in-vehicle sleep health record, the in-vehicle controller 101 not only records the apnea-hypopnea index and the corresponding severity level (normal, mild, moderate, severe) throughout the entire sleep period, but also marks the occurrence time and duration of each respiratory arrest and hypopnea event on the timeline to form an event distribution trend chart. At the same time, the in-vehicle sleep health record can also integrate multi-dimensional physiological and environmental data such as the average heart rate, heart rate variability, body movement frequency, and in-vehicle CO2 concentration change curve during the sleep period to form a comprehensive in-vehicle health report covering "overall score + event details + risk trend". The in-vehicle sleep health record can be presented to passengers via a mobile app or in-vehicle screen after the trip, allowing them to understand their sleep and breathing quality. It can also be uploaded to the cloud as baseline data for long-term health tracking, providing traceable and objective evidence for subsequent medical consultations or intervention effect evaluations.

[0047] In addition, this application embodiment also provides a passenger breathing abnormality intervention device, applied to the vehicle's onboard controller 101. It should be noted that the passenger breathing abnormality intervention device provided in this application embodiment has the same basic principle and technical effects as the above embodiments. For the sake of brevity, any parts not mentioned in this application embodiment can be referred to the corresponding content in the above embodiments. Specifically, the onboard controller 101 is communicatively connected to the vehicle's in-vehicle radar module 102 and the target in-vehicle component 103. The device provided in this application embodiment includes a signal receiving unit, a signal extraction unit, and a breathing intervention unit, wherein... The signal receiving unit is used to receive the radar echo signal collected by the in-vehicle radar module 102. The radar echo signal is the signal reflected back by obstacles inside the vehicle after the radar signal emitted by the in-vehicle radar module 102 is emitted.

[0048] The signal extraction unit is used to extract respiratory echo signals that characterize the rise and fall of the passenger's chest cavity from the radar echo signals.

[0049] The respiratory intervention unit is used to control the target vehicle component 103 to perform respiratory abnormality intervention operations if the respiratory echo signal indicates that the passenger has a respiratory abnormality.

[0050] In some embodiments, the target vehicle interior component 103 includes a fresh air system, a seat, and an alarm module. The breathing intervention unit is specifically configured to: when the degree of abnormality in the passenger's breathing indicates that the passenger is snoring, control the fresh air system to increase the fresh air ratio and airflow rate; when the degree of abnormality in the passenger's breathing indicates that the passenger is experiencing sleep apnea, control the seat to tilt and raise the seat back; and when the degree of abnormality in the passenger's breathing indicates that the passenger is experiencing high-risk sudden cardiac arrest, control the fresh air system to increase the fresh air ratio and airflow rate, tilt the seat and raise the seat back, and have the alarm module execute an alarm operation.

[0051] In some implementations, the breathing intervention unit is specifically used to determine the passenger's apnea-hypopnea index based on the breathing echo signal; and to determine the degree of abnormality in the passenger's breathing based on the apnea-hypopnea index, wherein the degree of abnormality in the passenger's breathing is positively correlated with the apnea-hypopnea index.

[0052] In some implementations, the respiratory intervention unit is specifically used to identify the total number of respiratory arrest events, the total number of respiratory hypopnea events, and the total duration of sleep for the passenger based on respiratory echo signals; and to obtain the passenger's apnea-hypopnea index by dividing the sum of the total number of respiratory arrest events and the total number of respiratory hypopnea events by the total duration of sleep for the passenger.

[0053] In some implementations, the respiratory intervention unit is specifically configured to determine a respiratory arrest event when the decrease in the echo waveform in the respiratory echo signal exceeds a first amplitude threshold and remains for a first duration, and to count the total number of respiratory arrest events; and to determine a hypoventilation event when the decrease in the echo waveform corresponding to N consecutive breaths in the respiratory echo signal exceeds a second amplitude threshold and remains for a second duration, and to count the total number of hypoventilation events, where N is an integer greater than 2.

[0054] In some implementations, the respiratory intervention unit is specifically used to identify the passenger's heart rate and whether the passenger has moved based on radar echo signals, and to receive the CO2 concentration inside the vehicle collected by the vehicle's CO2 sensor; if the passenger's heart rate is greater than a set heart rate threshold, the CO2 concentration inside the vehicle is greater than a set concentration threshold, the passenger has not moved, and the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the target vehicle component 103 is controlled to perform a respiratory abnormality intervention operation.

[0055] Figure 4 This is a structural schematic diagram of the vehicle provided in an embodiment of this application. Please refer to it. Figure 4At the hardware level, the vehicle includes a processor, and optionally also an internal bus, network interface, and memory. The memory may include RAM, such as high-speed random-access memory (RAM), or non-volatile memory, such as at least one disk drive. Of course, the vehicle may also include other hardware required for other business operations.

[0056] The processor, network interface, and memory can be interconnected via an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0057] Memory is used to store programs. Specifically, programs may include program code, which includes computer operation instructions. Memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0058] The processor reads the corresponding computer program from non-volatile memory into memory and then runs it, forming a passenger breathing abnormality intervention device at the logical level. The processor executes the program stored in memory and performs the method provided in the above embodiments of this application. For example, the method includes receiving radar echo signals collected by the in-vehicle radar module, wherein the radar echo signals are signals reflected back from obstacles inside the vehicle after the radar module emits radar signals; extracting respiratory echo signals characterizing the rise and fall of the passenger's chest cavity from the radar echo signals; if the respiratory echo signals indicate that the passenger has a breathing abnormality, controlling the target in-vehicle component to perform a breathing abnormality intervention operation.

[0059] The methods described in the embodiments of this application can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. For example, the method includes receiving radar echo signals collected by the in-vehicle radar module, wherein the radar echo signals are signals reflected back from obstacles inside the vehicle after the radar signal emitted by the in-vehicle radar module; extracting respiratory echo signals characterizing the rise and fall of the passenger's chest cavity from the radar echo signals; if the respiratory echo signals indicate that the passenger has a respiratory abnormality, controlling the target in-vehicle component to perform a respiratory abnormality intervention operation. The vehicle can also perform Figure 2 The method, and to implement the passenger's breathing abnormality intervention device in Figure 2 The functions of the embodiments shown are not described in detail here.

[0060] Of course, in addition to the software implementation, the vehicle in this application embodiment does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc. That is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0061] Furthermore, embodiments of this application also propose a storage medium that stores one or more programs, the programs including instructions that, when executed by a vehicle comprising multiple applications, enable the vehicle to perform the methods provided in the above embodiments of this application. Specifically, storage media, including permanent and non-permanent, removable and non-removable media, can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transfer medium that can be used to store information accessible by a computing device.

[0062] In addition, this application also provides a computer program product, including a computer program that, when run, causes a vehicle to perform the method provided in the above embodiments of this application.

[0063] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0064] In summary, the above descriptions are merely preferred embodiments of this application and are not intended to limit the scope of protection of this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for intervening in abnormal breathing in passengers, characterized in that, An onboard controller for a vehicle, the onboard controller being communicatively connected to the vehicle's in-vehicle radar module and target in-vehicle components, the method comprising: Receive radar echo signals collected by the in-vehicle radar module, wherein the radar echo signals are signals reflected back by obstacles inside the vehicle after the radar signals emitted by the in-vehicle radar module are emitted. From the radar echo signal, extract the respiratory echo signal that characterizes the rise and fall of the passenger's chest cavity; If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the target in-vehicle components are controlled to perform a respiratory abnormality intervention operation.

2. The method according to claim 1, characterized in that, If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the target vehicle interior components are controlled to perform a respiratory abnormality intervention operation, including: If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then the degree of the passenger's respiratory abnormality is determined based on the respiratory echo signal. Based on the degree of abnormality in the passenger's breathing, control the target vehicle interior components to perform respiratory abnormality intervention operations.

3. The method according to claim 2, characterized in that, The target vehicle interior components include a fresh air system, seats, and an alarm module. The step of controlling the target vehicle interior components to perform respiratory abnormality intervention operations based on the degree of abnormality in the passenger's breathing includes: When the abnormality of the passenger's breathing indicates that the passenger is snoring, the fresh air system is controlled to increase the proportion of fresh air and the air outlet speed. When the degree of abnormality in the passenger's breathing indicates that the passenger is in a state of apnea, control the seat to tilt to the side and the seat back to rise; When the abnormality of the passenger's breathing indicates that the passenger is in a high-risk emergency, the system controls the fresh air system to increase the proportion of fresh air and the air outlet speed, the seat to tilt to the side and the seat back to lift, and the alarm module to execute an alarm operation.

4. The method according to claim 2, characterized in that, Determining the degree of abnormality in the passenger's breathing based on the respiratory echo signal includes: The passenger's apnea-hypopnea index was determined based on the respiratory echo signal. The degree of abnormality in the passenger's breathing is determined based on the apnea-hypopnea index, wherein the degree of abnormality in the passenger's breathing is positively correlated with the apnea-hypopnea index.

5. The method according to claim 4, characterized in that, The determination of the passenger's apnea-hypopnea index based on respiratory echo signals includes: Based on the respiratory echo signal, the total number of respiratory arrest events, the total number of hypoventilation events, and the total duration of the passenger's sleep were identified. The passenger's apnea-hypopnea index is obtained by dividing the sum of the total number of respiratory arrest events and the total number of respiratory hypopnea events by the total duration of the passenger's sleep.

6. The method according to claim 5, characterized in that, The identification of the total number of respiratory arrest events and the total number of respiratory hypoventilation events includes: If the decrease in the echo waveform in the respiratory echo signal exceeds a first amplitude threshold and remains for a first duration, a respiratory arrest event is determined to have occurred, and the total number of respiratory arrest events is counted. If the decrease in the echo waveform corresponding to N consecutive breaths in the respiratory echo signal exceeds the second amplitude threshold and remains at the second duration, a hypoventilation event is determined to have occurred, and the total number of hypoventilation events is counted, where N is an integer greater than 2.

7. The method according to any one of claims 1-6, characterized in that, Before controlling the target in-vehicle components to perform respiratory abnormality intervention operations if the respiratory echo signal indicates that the passenger has a respiratory abnormality, the method further includes: The radar echo signal is used to identify the passenger's heart rate and whether the passenger is moving, as well as to receive the CO2 concentration inside the vehicle collected by the vehicle's CO2 sensor. If the respiratory echo signal indicates that the passenger has a respiratory abnormality, then control the target vehicle interior component to perform a respiratory abnormality intervention operation, including: if the passenger's heart rate is greater than a set heart rate threshold, the vehicle interior CO2 concentration is greater than a set concentration threshold, the passenger does not move, and the respiratory echo signal indicates that the passenger has a respiratory abnormality, then control the target vehicle interior component to perform a respiratory abnormality intervention operation.

8. A vehicle comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it causes the vehicle to perform the method as described in any one of claims 1 to 7.

9. A storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it causes the computer to perform the method as described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is run, it causes the vehicle to perform the method as described in any one of claims 1 to 7.

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