Vehicle-mounted blood glucose measurement device, vehicle-mounted blood glucose measurement method, and vehicle

Abstract

The application provides a vehicle-mounted blood glucose measuring device, a vehicle-mounted blood glucose measuring method and a vehicle. The vehicle-mounted blood glucose measuring device comprises a mounting base, a signal acquisition probe connected with the mounting base and used for acquiring a PPG signal and / or a temperature signal and / or a humidity signal, and a controller connected with the signal acquisition probe and an inertial measurement unit of the vehicle respectively and used for acquiring an inertial signal acquired by the inertial measurement unit, outputting a blood glucose result according to the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters and a preset blood glucose model. The mounting base, the signal acquisition probe and the controller are integrated in the vehicle, the fusion of the vehicle-mounted blood glucose measuring device and the vehicle is improved, the blood glucose measurement can be deeply integrated with the functions on the vehicle, the linkage is strong, the appearance and comfort of the vehicle are improved, the preset filtering parameters are determined according to the inertial signal to exclude the influence of the inertial signal on the signal acquisition, and the accuracy of the blood glucose measurement is improved.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to an on-board blood glucose measuring device, an on-board blood glucose measuring method, and a vehicle. Background Technology

[0002] In related technologies, the blood glucose meter and the vehicle-mounted host are connected by an external mobile controller. The light source emitter and receiver on the inner wall of the blood glucose meter complete the acquisition and preliminary analysis of the spectral signal to obtain measurement data, which is then transmitted to the vehicle-mounted host through the mobile controller.

[0003] However, vehicle operating signals and environmental data of the target device can affect the signal acquisition of the blood glucose meter, reducing the accuracy and reliability of blood glucose measurement. Furthermore, external mobile controllers and blood glucose meters are aftermarket devices with poor integration into the vehicle, compromising the vehicle's aesthetics and comfort, and preventing deep integration with onboard functions. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0005] Therefore, one objective of this invention is to provide an in-vehicle blood glucose measurement device that improves the integration of the in-vehicle blood glucose measurement device with the vehicle, enabling blood glucose measurement to be deeply integrated with the functions of the vehicle, with strong linkage, thereby improving the accuracy and reliability of blood glucose measurement, as well as the aesthetics and comfort of the vehicle.

[0006] Therefore, the second objective of this invention is to provide an in-vehicle blood glucose measurement method.

[0007] Therefore, a third objective of the present invention is to provide a vehicle.

[0008] To achieve the above objectives, an embodiment of the first aspect of the present invention provides an in-vehicle blood glucose measurement device, comprising: a mounting base; a signal acquisition probe connected to the mounting base for acquiring PPG (Photoplethysmography) signals and / or temperature signals and / or humidity signals; and a controller connected to the signal acquisition probe and an inertial measurement unit of the vehicle, for acquiring the inertial signals acquired by the inertial measurement unit, and outputting blood glucose results based on the PPG signals and / or the temperature signals and / or the humidity signals and / or the inertial signals, preset filtering parameters, and a preset blood glucose model. This improves the accuracy and reliability of blood glucose measurement. Furthermore, the mounting base, signal acquisition probe, and controller are integrated into the vehicle, enhancing the integration of the in-vehicle blood glucose measurement device with the vehicle, enabling deep integration of blood glucose measurement with vehicle functions and strong interoperability.

[0009] According to embodiments of the present invention, the vehicle-mounted blood glucose measurement device integrates the mounting base, signal acquisition probe, and controller into the vehicle, improving the integration of the vehicle-mounted blood glucose measurement device with the vehicle. This allows for deep integration of blood glucose measurement with vehicle functions, strong linkage, and enhances the vehicle's aesthetics and comfort. Based on the PPG signal and / or temperature signal of the target being measured acquired by the signal acquisition probe, the original signal affecting the blood glucose result of the target being measured is determined. Combined with the inertial signal acquired by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of the inertial signal on signal acquisition and obtaining a pure signal. Additionally, the temperature and / or humidity signals of the environment in which the target being measured is located are acquired. Based on the pure signal, temperature signal, and / or humidity signal, and a preset blood glucose model, an accurate blood glucose result is output. This eliminates the influence of environmental signals on signal acquisition, improving the accuracy and reliability of blood glucose measurement.

[0010] In some embodiments, the mounting base is disposed in a preset area of ​​the vehicle, and a telescopic mechanism is provided in the mounting base. The telescopic mechanism is connected to a preset wiring harness for releasing or storing the signal acquisition probe. This achieves the goal of flexibly accessing and automatically storing the signal acquisition probe based on the preset wiring harness and the telescopic mechanism.

[0011] In some embodiments, the temperature signal includes a first temperature signal, a second temperature signal, and a third temperature signal; the humidity signal includes a first humidity signal; the PPG signal includes a first PPG signal and a second PPG signal; and the signal acquisition probe includes: an environmental signal acquisition module, configured to continuously acquire the first temperature signal and the first humidity signal of the environment of the target under test for a first preset time according to the measurement command issued by the controller, so as to realize environmental drift correction of the preset blood glucose model using the acquired first temperature signal and the first humidity signal; an optical signal acquisition module, configured to acquire the first PPG signal of the target under test according to the acquisition command issued by the controller, and / or, configured to continuously acquire the second PPG signal of the target under test for a second preset time according to the continued acquisition command issued by the controller, so as to realize preparation for filtering the original PPG waveform based on inertial signals; and a thermal signal acquisition module, configured to acquire the second temperature signal of the target under test according to the acquisition command issued by the controller, and / or, configured to continuously acquire the third temperature signal of the target under test for a second preset time according to the continued acquisition command issued by the controller, so as to realize preparation for filtering the third temperature signal based on inertial signals.

[0012] In some embodiments, the vehicle-mounted blood glucose measuring device further includes: an interactive interface connected to the controller, for receiving interactive signals and for displaying the blood glucose results, so that the controller can issue corresponding instructions based on the interactive signals and present the blood glucose results to the user in an intuitive, clear and information-rich interface. In some embodiments, the controller is further configured to: perform identity authentication to determine the identity authentication result, determine the calibration instruction, and establish the target file to be tested based on the function trigger signal, calibration signal, and target file establishment signal in the interaction signal; determine the measurement instruction based on the identity authentication result, the target file to be tested, pre-filled information, preset verification conditions, and measurement signal in the interaction signal, so as to realize the integration of the vehicle blood glucose measurement function with the vehicle's identity authentication function, automatically associate the target file to be tested through identity authentication, guide the input of key parameters, and thus realize the automatic association of blood glucose measurement with the user file, and guide the input and confirmation of pre-filled information before starting blood glucose measurement.

[0013] To achieve the above objectives, a second aspect of the present invention provides an in-vehicle blood glucose measurement method. The method is used with any of the in-vehicle blood glucose measurement devices described in the above embodiments. The method includes: acquiring a PPG signal and / or a temperature signal and / or a humidity signal and / or an inertial signal to achieve fusion measurement based on the above signals, solving the problem of signal interference and poor stability in a vehicle vibration environment under single optical measurement; outputting blood glucose results based on the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters, and a preset blood glucose model, thereby improving the accuracy and reliability of blood glucose measurement and enabling deep integration of blood glucose measurement with vehicle functions, resulting in strong linkage.

[0014] In some embodiments, the PPG signal includes a second PPG signal, the temperature signal includes a first temperature signal and a third temperature signal, and the humidity signal includes a first humidity signal. The step of outputting a blood glucose result based on the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters, and a preset blood glucose model includes: filtering the second PPG signal and / or the third temperature signal based on the inertial signal, the second PPG signal and / or the third temperature signal, and the preset filtering parameters to determine blood glucose factors, thereby maximizing the extraction of pure waveforms from contaminated signals as blood glucose factors; performing feature calculations on the blood glucose factors to determine human biological characteristics; determining clinical parameters, static physiological characteristics, and contextual characteristics based on the target data; determining a feature vector based on the human biological characteristics, the first temperature signal, the first humidity signal, the clinical parameters, the static physiological characteristics, and the contextual characteristics; and outputting a blood glucose result based on the feature vector and the preset blood glucose model to improve the accuracy of the blood glucose result. In some embodiments, the PPG signal includes a first PPG signal and a second PPG signal, the temperature signal includes a first temperature signal, a second temperature signal, and a third temperature signal, and the humidity signal includes a first humidity signal. Before acquiring the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, the method includes: acquiring an interaction signal to identify interaction information based on the interaction signal and issue corresponding instructions; performing identity authentication based on the function trigger signal and the target file establishment signal in the interaction signal to determine the identity authentication result and establish the target file to be tested, and updating and maintaining the user's personal information, health information, and blood glucose results based on the target file to be tested, upgrading the in-vehicle blood glucose detection from an isolated function to a continuously evolving personal health management service; determining the measurement instruction based on the identity authentication result, the target file to be tested, pre-filled information, preset verification conditions, and the measurement signal in the interaction signal to integrate the in-vehicle blood glucose measurement function with the vehicle's identity authentication function, realizing automatic blood glucose measurement. The system automatically associates with the user's profile and guides the user to input and confirm pre-filled information before starting blood glucose measurement. Based on the measurement instruction, it determines the first temperature signal and the first humidity signal of the environment where the target is located at a first preset time, to perform environmental drift correction on the preset blood glucose model using the first temperature signal and the first humidity signal. Based on the first temperature signal, the first humidity signal, and preset environmental parameters, it determines an environmental anomaly prompt and / or a data collection instruction. Based on the data collection instruction and preset detection conditions, it determines the first PPG signal and the second temperature signal to perform initial signal collection from the finger. Based on the first PPG signal and / or the second temperature signal, and preset target placement conditions, it determines a continue data collection instruction and / or a real-time adjustment instruction to simultaneously perform environmental perception and finger status monitoring during the data collection process, ensuring the readiness of the collected data. Based on the continue data collection instruction, it determines the second PPG signal and the third temperature signal of the target at a second preset time, to prepare for filtering the third temperature signal based on inertial signals.

[0015] In some embodiments, the in-vehicle blood glucose measurement method further includes: acquiring an interaction signal; determining a calibration instruction based on a calibration signal in the interaction signal; when the calibration instruction is feature correction, correcting the target file to be detected based on calibration parameters in the interaction signal; and / or when the calibration instruction is model fine-tuning, determining a high-quality sample set based on the blood glucose result; and after the high-quality sample set reaches a preset number, training the preset blood glucose model based on a preset training algorithm to obtain the trained preset blood glucose model. This achieves a closed-loop, intelligent, and adaptive in-vehicle non-invasive blood glucose measurement process by optimizing the preset blood glucose model through calibration steps.

[0016] According to the vehicle-mounted blood glucose measurement method of the present invention, the original signal affecting the blood glucose result of the target is determined by acquiring the PPG signal and / or temperature signal of the target and the temperature signal and / or humidity signal of the environment in which the target is located. The original signal is filtered by a preset filtering parameter determined by combining the acquired inertial signal to obtain a pure signal. This eliminates the influence of vehicle operation signal and environmental data of the target on signal acquisition. The accurate blood glucose result is output based on the pure signal and the preset blood glucose model, thereby improving the accuracy and reliability of blood glucose measurement.

[0017] To achieve the above objectives, a third aspect of the present invention provides a vehicle comprising: an on-board blood glucose measuring device as described in any of the above embodiments.

[0018] According to embodiments of the present invention, an on-board blood glucose measurement device is used in a vehicle, integrating the mounting base, signal acquisition probe, and controller into the vehicle. This improves the integration of the on-board blood glucose measurement device with the vehicle, allowing for deep integration of blood glucose measurement with vehicle functions, strong linkage, and enhanced vehicle aesthetics and comfort. Based on the PPG signal and / or temperature signal of the target being measured acquired by the signal acquisition probe, the original signal affecting the blood glucose result of the target being measured is determined. Combined with the inertial signal acquired by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of the inertial signal on signal acquisition and obtaining a pure signal. Additionally, the temperature and / or humidity signals of the environment in which the target being measured is located are acquired. Based on the pure signal, temperature signal, and / or humidity signal, and a preset blood glucose model, an accurate blood glucose result is output, eliminating the influence of environmental signals in which the target being measured is located on signal acquisition, thus improving the accuracy and reliability of blood glucose measurement.

[0019] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0020] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a block diagram of an in-vehicle blood glucose measuring device according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a signal acquisition probe according to an embodiment of the present invention; Figure 3 This is a schematic diagram of an in-vehicle blood glucose measuring device according to an embodiment of the present invention; Figure 4 This is a schematic diagram of an interactive interface according to an embodiment of the present invention; Figure 5This is a flowchart of an in-vehicle blood glucose measurement method according to an embodiment of the present invention; Figure 6 This is a detailed flowchart of an in-vehicle blood glucose measurement method according to an embodiment of the present invention.

[0021] Figure label: 1-Vehicle-mounted blood glucose measurement device; 2-Mounting base; 3-Signal acquisition probe; 4-Controller; 5-Inertial measurement unit; 7-Coil reel; 8-Interactive interface. Detailed Implementation The embodiments described with reference to the accompanying drawings are exemplary, and the embodiments of the present invention are described in detail below.

[0022] In related technologies, for example, an in-vehicle host connects to an in-vehicle non-invasive blood glucose meter, an in-vehicle projector, and an in-vehicle monitor. The in-vehicle non-invasive blood glucose meter is connected to the in-vehicle host via a mobile controller. During use, the driver inserts their finger into a finger-insertion tube fixed to the blood glucose meter. A light source emitter and receiver on the inner wall of the tube collect and perform preliminary analysis of the spectral signal. After the measurement data is transmitted to the in-vehicle host via the mobile controller, the system combines this data with a fatigue monitoring signal from a driver-facing camera. The system then uses a head-up display (HUD) projector on the windshield and the in-vehicle audio system to provide audible and visual warnings (such as abnormal blood glucose levels or driver fatigue).

[0023] However, the aforementioned in-vehicle blood glucose measurement device is essentially a "post-installation" safety monitoring module. It simply connects a standalone spectral blood glucose meter and mobile controller to the vehicle's existing system, with its core function being to provide the driver with warnings of abnormalities while driving. This design philosophy directly leads to its inherent flaws: Firstly, the usage scenarios and users are severely limited, resulting in insufficient convenience: The blood glucose testing device (finger insertion tube) of this system is physically fixed to an external "in-vehicle non-invasive blood glucose meter." The device usually needs to be placed in the center console or cup holder area, and is only for use by the driver and front passenger in the front row. It cannot serve rear passengers and does not have the sharing of in-vehicle health services. At the same time, the external device needs to be manually retrieved and stored, the cable connection is cumbersome, and the external device and exposed cables cannot be integrated into the interior, which does not conform to the design concept of "seamless interaction" of the smart cockpit.

[0024] Secondly, the measurement method is rigid and has weak anti-interference capabilities: the "insertion-type" finger connector requires users to insert their fingers into the cylinder in a specific posture, which is stiff and does not conform to natural usage habits, resulting in a poor user experience. More importantly, the complex mechanical vibrations and wide-range temperature and humidity changes in the vehicle's dynamic environment are the core interference sources affecting the stable contact of the sensor and the signal reference. The above solution relies on a single optical sensing principle, and the contact method between the sensor and the finger is a "sleeve" type. The continuous vibration generated during vehicle operation can easily cause micro-displacement or changes in contact pressure at the measurement site, thereby introducing significant signal noise and seriously affecting the stability and accuracy of the measurement.

[0025] Third, the functional positioning is singular, and the data value is not deeply explored: any health function that requires special user operation and has cumbersome steps is unlikely to be used frequently. The above solution simply "moves" medical equipment into the car, failing to address the issue from a systems engineering perspective. For example, the interactive output mainly relies on the HUD and audio for immediate alarms, and the system lacks a dedicated graphical interface for in-depth user interaction and management of personal health data; all data serves a single measurement, without personalized blood glucose calibration, and cannot establish long-term, visualized personal blood glucose health records for different users, failing to upgrade from "early warning" to "management," resulting in a short technological value chain.

[0026] Therefore, the vehicle-mounted blood glucose measurement device of this invention integrates the mounting base, signal acquisition probe, and controller into the vehicle, improving the integration of the vehicle-mounted blood glucose measurement device with the vehicle. This allows for deep integration of blood glucose measurement with vehicle functions, strong linkage, and enhances the vehicle's aesthetics and comfort. Based on the PPG signal and / or temperature signal of the target being measured acquired by the signal acquisition probe, the original signal affecting the blood glucose result of the target being measured is determined. Combined with the inertial signal acquired by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of the inertial signal on signal acquisition and obtaining a pure signal. Additionally, the temperature and / or humidity signals of the environment where the target is located are acquired. Based on the pure signal, temperature signal, and / or humidity signal, and a preset blood glucose model, an accurate blood glucose result is output, eliminating the influence of the environmental signals of the target being measured on signal acquisition, thus improving the accuracy and reliability of blood glucose measurement.

[0027] The following is combined with Figure 1-4 This invention describes an embodiment of an in-vehicle blood glucose measurement device.

[0028] like Figure 1The diagram shown is a block diagram of an embodiment of the vehicle-mounted blood glucose measurement device of the present invention. The vehicle-mounted blood glucose measurement device 1 of this embodiment includes at least a mounting base 2; a signal acquisition probe 3 connected to the mounting base 2 for acquiring PPG (Photoplethysmography) signals and / or temperature and / or humidity signals; and a controller 4 connected to the signal acquisition probe 3 and the vehicle's inertial measurement unit 5, for acquiring the inertial signals acquired by the inertial measurement unit and outputting blood glucose results based on the PPG signals and / or temperature and / or humidity and / or inertial signals, preset filtering parameters, and a preset blood glucose model.

[0029] In an embodiment, such as Figure 2 The diagram shown is a schematic representation of a signal acquisition probe according to an embodiment of the present invention. Figure 3 The diagram shown is a schematic representation of an in-vehicle blood glucose measurement device according to an embodiment of the present invention. For example: The supporting structure for mounting base 2 is typically a plastic skeleton or reinforcing rib with a certain curvature and strength, located beneath the armrest box body. Its integration method is as follows: Figure 3 As shown, a reserved cavity matching the shape of the signal acquisition probe 3 is created in the forward-facing (towards the passenger compartment) area of ​​this curved plastic component. This cavity is not simply hollowed out; its inner wall is designed with guide rails and limiting points for precisely fixing the sliding signal acquisition probe. The integration method fully considers the overall strength of the armrest assembly, and the cavity opening avoids the main load-bearing ribs. Simultaneously, heat dissipation ducts or airflow gaps are planned around the cavity to prevent heat accumulation in the electronic modules; and a metal shielding layer or filter interface is used to meet stringent automotive electromagnetic compatibility requirements.

[0030] The signal acquisition probe 3, such as the fingertip clip probe, has external dimensions of 70.5mm (length) × 40.8mm (width) × 39.5mm (height), and is specifically designed to fit the size of an adult's fingertip and the internal space of the armrest. Its core lies in the internally integrated multimodal sensor array, enabling fusion measurements based on metabolic heat and optical principles. The multimodal sensor array includes a PPG sensor, an infrared sensor, a thermistor, and a temperature and humidity sensor. The PPG sensor acquires the PPG signal after detecting a finger placed in the fingertip clip probe; the infrared sensor acquires the temperature signal of the fingertip skin surface after detecting a finger; the thermistor detects the temperature signal within the contact area, thus obtaining the steady-state temperature gradient; and the temperature and humidity sensor detects the temperature and humidity signals in the environment. This allows for fusion measurements based on signals acquired from these various sensors, solving the problem of signal interference and poor stability in vehicle vibration environments where single optical measurements are prone to failure. Specifically, a finger clip probe is used to achieve an anti-interference measurement method that transitions from "insertion-type" to "finger clip," avoiding the requirement of existing technologies that require users to insert their fingers into a fixed cylindrical detector and employ a single optical principle. Using a finger clip probe and integrating metabolic heat and optical multi-parameter measurements, the user simply places their fingertip naturally into the finger clip opening. The clip arm automatically provides a gentle and constant clamping force under the action of an internal spring. This structure ensures that the sensor makes close and comfortable contact with the skin. Mechanically, the internal spring of the finger clip probe provides an adaptive and constant clamping force, creating a stable and buffered contact interface between the sensor and the fingertip skin. This acts like a "mechanical filter," effectively attenuating the mid-to-high frequency vibration energy transmitted from the vehicle body to the measurement point, thus improving signal quality from a physical perspective.

[0031] Controller 4 includes, but is not limited to, using an existing vehicle controller or a controller independent of the vehicle, for acquiring inertial signals collected by the inertial measurement unit on the vehicle. Inertial signals include, but are not limited to, triaxial acceleration and angular velocity, which characterize the macroscopic motion state (stationary, uniform speed, bumpy, etc.) at the moment of blood glucose measurement. These motion states can interfere with blood glucose measurement. Based on the steady-state temperature gradient or temperature difference sequence determined by the PPG signal collected by the PPG sensor and / or the fingertip skin surface temperature signal collected by the infrared sensor and / or the temperature signal in the contact area detected by the thermistor, the original signal affecting the blood glucose result of the target to be detected is determined. Combined with the inertial signal collected by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of inertial signals on signal acquisition and obtaining a pure signal. Based on the pure signal, the temperature and humidity signals in the environment, and other information affecting the blood glucose measurement result and the preset blood glucose model, an accurate blood glucose result is output. The influence of the environmental signals of the target to be measured on signal acquisition is eliminated, improving the accuracy and reliability of blood glucose measurement. Furthermore, the aforementioned mounting base, signal acquisition probe, and controller are integrated into the vehicle, enhancing the integration of the in-vehicle blood glucose measurement device with the vehicle. This allows for deep integration of blood glucose measurement with vehicle functions, resulting in strong interoperability. For example, when the vehicle is bumpy, the controller can acquire real-time inertial signals from the inertial measurement unit and automatically enhance the suppression of motion artifacts in specific frequency bands based on the inertial signals and preset filtering algorithms. This maximizes the extraction of pure physiological waveforms from contaminated signals and improves the vehicle's aesthetics and comfort. For instance, the integrated in-vehicle blood glucose measurement device avoids the problems of aftermarket or external blood glucose meters occupying passenger space, having messy cables, and compromising the overall integrity and premium feel of the interior.

[0032] According to embodiments of the present invention, the vehicle-mounted blood glucose measurement device integrates the mounting base, signal acquisition probe, and controller into the vehicle, improving the integration of the vehicle-mounted blood glucose measurement device with the vehicle. This allows for deep integration of blood glucose measurement with vehicle functions, strong linkage, and enhances the vehicle's aesthetics and comfort. Based on the PPG signal and / or temperature signal of the target being measured acquired by the signal acquisition probe, the original signal affecting the blood glucose result of the target being measured is determined. Combined with the inertial signal acquired by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of the inertial signal on signal acquisition and obtaining a pure signal. Additionally, the temperature and / or humidity signals of the environment in which the target being measured is located are acquired. Based on the pure signal, temperature signal, and / or humidity signal, and a preset blood glucose model, an accurate blood glucose result is output. This eliminates the influence of environmental signals on signal acquisition, improving the accuracy and reliability of blood glucose measurement.

[0033] In some embodiments, the mounting base is set in a preset area of ​​the vehicle, and the mounting base is provided with a telescopic mechanism. The telescopic mechanism is connected to a preset wiring harness for releasing or storing the signal acquisition probe.

[0034] In this embodiment, the preset wiring harness is configured as follows: the lines leading from the signal acquisition probe are integrated into a composite wiring harness, which internally includes at least: a power supply line, drawing power from the vehicle's 12V power supply and converting it to the operating voltage required by the sensor via internal circuitry; a CAN (Controller Area Network) bus twisted-pair cable, used to transmit commands issued by the controller and signals acquired by the sensor; and a shielding layer, wrapped around the wiring harness to suppress electromagnetic interference within the vehicle. The fixed end of the preset wiring harness is directly connected to the vehicle domain controller or a designated vehicle network gateway through a waterproof and shockproof electrical interface. Thus, the signal acquisition probe obtains a stable power supply, and the raw data it acquires is transmitted to the vehicle's infotainment system controller for processing via the CAN bus, while also receiving control signals from the interactive interface.

[0035] Telescopic mechanism such as Figure 3 As shown, the composite wire harness is wound on a built-in reel 7. A pre-tensioned torsion spring is connected to the reel's axis, providing the force for wire harness retraction. The core of the mechanism is a one-way locking and releasing mechanism (such as a ratchet-pawl mechanism), including: pull-out locking: when the target (i.e., the user) pulls out the probe for the first time, the telescopic mechanism drives the wire harness to rotate the reel, and the pawl falls into the ratchet teeth to lock it, resisting the spring's rebound force and keeping the probe in any pulled-out position; one-button retraction: after use, when the user lightly touches the signal acquisition probe or performs a slight secondary pulling action, the release button or slider will be triggered, causing the pawl to disengage from the ratchet. At this time, the stored energy of the torsion spring is released instantaneously, driving the reel to rotate rapidly, smoothly and automatically retracting the wire harness and probe into the mounting base cavity. This achieves the requirement of flexible access and automatic storage of the signal acquisition probe based on the preset wire harness and telescopic mechanism.

[0036] Specifically, based on the telescopic mechanism and preset cable harness, an intelligent storage and retrieval mechanism is achieved, transforming "exposed cables" into "one-click retraction and extension," avoiding the exposed state of the connection cables between the device and the controller in existing technologies. An integrated automatic cable retraction mechanism is incorporated through a built-in finger clip probe. The user gently pulls the finger clip, and the cable extends synchronously to the desired length and mechanically locks itself. After use, a gentle pull or push of the finger clip triggers the release mechanism, and the cable automatically and smoothly retracts into the compartment under the action of a coil spring. This achieves a seamless "use and retrieve, use and go" experience, completely eliminating the hassle of manually managing cables. Automatic retraction and extension prevents cables from being bent, tangled, or stepped on, reducing the risk of physical damage, extending system lifespan, and ensuring the stability of signal transmission during each use.

[0037] Pre-set areas within the vehicle are flexibly deployed based on the vehicle's architecture and the needs of blood glucose measurement, to achieve concealed and integrated delivery, including but not limited to: The car armrest area is specifically integrated into the front facade, side, or base of the rear armrest box. The integration method involves reserving standardized installation cavities within the armrest's internal support frame. Signal acquisition probes achieve "one-click pop-out and automatic retraction" via built-in sliding rails and a telescopic mechanism. All wiring harnesses connect directly to the vehicle's main wiring harness in the seat or floor area through cable channels within the armrest's pivot. This provides a centrally shared health station that is most ergonomically designed for all vehicle occupants, maintaining a clean cabin while offering optimal operational convenience without requiring turning or moving, perfectly integrating into the passenger rest environment.

[0038] The center console area is specifically located on the side of the center console on the passenger side, in front of the floating storage compartment below the center console, or in the space after the traditional gear lever area has been modified. The integration method involves creating a dedicated compartment inside the center console shell, with the hatch designed as a flip-top or push-pull type to maintain a clean appearance. The signal acquisition probe is fixed by a guide rail, and the wiring harness is laid along a pre-set wire channel inside the center console, connecting to the vehicle domain controller behind the center console. This makes blood glucose measurement extremely convenient for both the driver and the front passenger, especially suitable for quick use when the vehicle is stationary (such as waiting at a red light or charging).

[0039] The signal acquisition probe is integrated into the inner wall or top panel of the front glove box. The integration method involves embedding the signal acquisition probe within the engineering plastic lining of the glove box. It can be accessed by opening the glove box and is completely hidden when closed. The power supply and pre-set wiring harness are connected to the vehicle body through a flexible wiring harness conduit at the glove box hinge. This achieves absolute concealment and a clean cabin, combining health monitoring functions with private storage space, making it suitable for models with extremely high requirements for integrated cabin visuals.

[0040] The front seats are located on the side of the driver or front passenger seat, specifically on the side support panel (near the center console). The integration method involves opening an integration port on the decorative cover of the seat side panel. The telescopic mechanism is fixed to the seat frame, and the pre-installed wiring harness is connected to the vehicle wiring harness through the wiring harness interface at the bottom of the seat. This achieves ergonomic design that makes the seat "within reach," allowing passengers to use it without significant body movement while seated, making it especially suitable for operation by the front passenger during long-distance driving.

[0041] The front and rear door panel storage compartments are located at the front end or top of the storage compartment in front of the door armrest; the integration method is to design mounting points on the structural reinforcement of the door panel lining; the placement and removal direction of the signal acquisition probe can be designed to be vertical or inclined to adapt to the shape of the door; the pre-set wiring harness is connected to the main body of the vehicle body through the waterproof sleeve of the wiring harness at the door hinge; so as to provide extremely high usability for rear passengers, so that each seat area has an independent health monitoring access point, truly realizing "whole cabin sharing".

[0042] The control panel for the rear-seat entertainment system is located near the rear air conditioning vents or behind the center armrest. Integration involves a unified design with the rear entertainment system hardware, sharing structural support and some electronic components. The signal acquisition probe can function as a button or be a hidden unit behind a sliding cover in this area. This achieves deep integration with the entertainment and environmental control functions of rear passengers, enhancing the technological feel and functionality of the rear cabin.

[0043] By placing the mounting base in a pre-defined area of ​​the vehicle, with a telescopic mechanism integrated into the base and connected to a pre-installed wiring harness, and combining it with a signal acquisition probe, the system architecture of the in-vehicle blood glucose measurement device is transformed from an "external attachment" to "deeply integrated pre-installation." The signal acquisition probe (including multiple sensors) is integrated as a native component into various feasible locations in the vehicle, such as the armrest, center console, glove box, and door panels. This is not merely a change in physical location, but a revolution in system architecture. Understandably, this deep integration and user-friendly interaction enhance compliance and sharing. The integrated design of the signal acquisition probe and base as native components of the armrest assembly, along with the unique telescopic cable in the pre-installed wiring harness, perfectly resolves the conflict between "easy access" and "neat storage" for the built-in device. This transforms blood glucose monitoring from a driver-only function into a convenient service accessible to all passengers during rest. The dedicated interactive interface, deeply integrated with the armrest screen, provides a clear and guided operation process, significantly lowering the barrier to entry.

[0044] In some embodiments, the temperature signal includes a first temperature signal, a second temperature signal, and a third temperature signal; the humidity signal includes a first humidity signal; the PPG signal includes a first PPG signal and a second PPG signal; and the signal acquisition probe includes: an environmental signal acquisition module, configured to continuously acquire the first temperature signal and the first humidity signal of the environment of the target under test for a first preset time according to the measurement command issued by the controller; an optical signal acquisition module, configured to acquire the first PPG signal of the target under test according to the acquisition command issued by the controller, and / or, configured to continuously acquire the second PPG signal of the target under test for a second preset time according to the continued acquisition command issued by the controller; and a thermal signal acquisition module, configured to acquire the second temperature signal of the target under test according to the acquisition command issued by the controller, and / or, configured to continuously acquire the third temperature signal of the target under test for a second preset time according to the continued acquisition command issued by the controller.

[0045] In this embodiment, the first preset time is the duration for continuously collecting microenvironmental data, determined based on requirements and experimental calibration, such as 3 seconds. The second preset time is the duration for continuous signal acquisition after confirming that the target has placed its finger into the signal acquisition probe, the finger posture meets the measurement requirements, and there are no abnormalities such as finger movement, excessive / excessive pressure, or brief separation, allowing signal acquisition to continue, such as 40 seconds. The command to continue acquisition is issued by the controller after real-time analysis of the finger status based on the first PPG signal, finding no abnormalities, and confirming that signal acquisition can continue. The command includes the second preset time and the acquisition of multimodal signals, including the PPG signal, the temperature collected by the thermistor, and the fingertip infrared temperature collected by the infrared sensor. The target is a human finger. The second PPG signal includes the original PPG waveform. The third temperature signal includes the fingertip infrared temperature collected by the infrared sensor and the temperature in the area in contact with the finger collected by the thermistor.

[0046] The environmental signal acquisition module collects ambient temperature and relative humidity data via digital temperature and humidity sensors. For example, when a user clicks "Start Measurement," triggering a measurement signal, the on-board blood glucose device does not immediately require finger placement but enters a smart waiting period. After receiving the measurement signal, the controller issues a measurement command. Upon receiving the command, the environmental signal acquisition module continuously collects micro-environmental data within the measurement chamber for at least 3 seconds using the high-precision ambient temperature and humidity sensor built into the signal acquisition probe, obtaining the first temperature and first humidity signals. This process is "implicit" and requires no additional user intervention. This allows for environmental drift correction of the preset blood glucose model using the collected first temperature and humidity signals.

[0047] The optical signal acquisition module, based on photoplethysmography (PPG), integrates a dual-wavelength (660nm and 940nm) LED (light-emitting diode) light source and a high signal-to-noise ratio photodetector. By acquiring reflected light intensity signals, the system can not only extract pulse wave waveforms to calculate heart rate (HR) and heart rate variability (HRV) characteristics, but also derive blood oxygen saturation (SpO2, peripheral capillary oxygen saturation) using the ratio of the absorbance of the two wavelengths. These optical features collectively characterize peripheral circulatory status and tissue oxygenation levels, providing dynamic contextual information for glycemic dynamics analysis.

[0048] The optical signal acquisition module is used to acquire the first PPG signal of the target under test according to the acquisition command issued by the controller. For example, the interactive interface prompts the target under test to "Please place your finger" and provides graphic guidance. When the PPG sensor of the signal acquisition probe detects that a finger has been placed, the controller issues an acquisition command to acquire the first PPG signal of the target under test. This enables the controller to perform real-time analysis of the finger status based on the first PPG signal to determine whether there are any abnormalities such as finger movement, excessively tight / loose pressing, or brief removal. Once an abnormality is detected, the controller will prompt the user to adjust the posture in real time through the interactive interface.

[0049] And / or, the optical signal acquisition module is used to continuously acquire the second PPG signal of the target under test for a second preset time according to the continued acquisition command issued by the controller. For example, after the controller performs real-time analysis of the finger state based on the first PPG signal and finds no abnormality, and confirms that signal acquisition can continue, the controller issues a continued acquisition command to continuously acquire the second PPG signal of the target under test for a second preset time. The second PPG signal includes the original PPG waveform in order to prepare for filtering the original PPG waveform based on inertial signals.

[0050] The thermal signal acquisition module quantifies metabolic heat production and related thermodynamic processes. This module includes: an infrared temperature measurement unit employing a non-contact, high-precision infrared sensor to monitor the skin surface temperature of the fingertips in real time; and a thermal conductivity blood flow sensing unit integrating a pair of miniature thermistors on a substrate material with known thermal conductivity. By measuring the temperature of these thermistors in the contact area, a steady-state temperature gradient is obtained, allowing the derivation of the effective subcutaneous thermal conductivity and local perfusion rate as proxy variables for blood flow rate.

[0051] The thermal signal acquisition module is used to acquire the second temperature signal of the target under test according to the acquisition command issued by the controller. For example, the interactive interface prompts the target under test to "Please place your finger" and provides graphic guidance. When the infrared sensor of the signal acquisition probe detects that a finger has been placed, the controller issues an acquisition command to acquire the second temperature signal of the target under test, so as to realize the detection of whether the finger has been placed based on the second temperature signal.

[0052] The and / or thermal signal acquisition module is used to continuously acquire the third temperature signal of the target under test for a second preset time according to the continued acquisition command issued by the controller. For example, if the controller performs real-time analysis of the finger state based on the first PPG signal and finds no abnormality, and confirms that signal acquisition can continue, the controller issues a continued acquisition command. The infrared sensor and thermistor in the signal acquisition probe continuously acquire the fingertip infrared temperature and the temperature in the area where the thermistor contacts the finger for a second preset time, respectively, to obtain the third temperature signal. This enables the controller to determine the temperature difference sequence based on the temperature acquired by the thermistor and to filter the temperature difference sequence and the fingertip infrared temperature based on the inertial signal in preparation.

[0053] The environmental signal acquisition module, optical signal acquisition module, and thermal signal acquisition module, along with all their sensors, are encapsulated within a housing of an integrated signal acquisition probe. This ensures that each sensing unit maintains geometric constraints with the fingertip tissue, thus maintaining measurement consistency. A microcontroller coordinates and executes synchronous data acquisition upon triggering a command. The raw signal, after analog front-end conditioning, is digitized by a 24-bit ADC (Analog-to-Digital Converter) and then processed and feature-extracted in real-time by an embedded processor. The final output is a multi-dimensional feature vector including PPG signal, ambient temperature and humidity, finger temperature, and blood flow rate.

[0054] The probe housing is made of materials that meet medical contact standards, and the clamping arm has a buffer spring inside to ensure that the pressure applied to the fingertip is constant and comfortable. This ensures the stability of the sensor contact to resist vehicle vibration and avoids discomfort caused by prolonged clamping.

[0055] In some embodiments, the vehicle-mounted blood glucose measuring device further includes: an interactive interface connected to a controller for receiving interactive signals and for displaying blood glucose results. In an embodiment, such as Figure 4The diagram shown illustrates the interactive interface of an embodiment of the present invention. The blood glucose detection function provides a complete user interface via a vehicle armrest screen (or central control screen), and executes a sophisticated process integrating identity authentication, environmental perception, signal acquisition, anti-interference processing, intelligent prediction, and adaptive learning. This process ensures the accuracy, safety, and user experience of blood glucose measurement in a dynamic in-vehicle environment. Interactive signals include, but are not limited to, function trigger signals, calibration signals, and target file creation signals. The interactive interface receives these signals to enable the controller to issue corresponding instructions based on them.

[0056] Blood glucose results include, but are not limited to, core indicators, risk level, historical trend analysis, auxiliary physiological parameters, and health recommendations. Core indicators are the prominently displayed predicted blood glucose values ​​and their units. Risk levels are categorized according to clinical guidelines as "normal," "prediabetes," and "high," visually indicated by colors (green, yellow, and red). Historical trend analysis is a line graph of the user's recent blood glucose measurements, showing short-term fluctuations and long-term trends. Auxiliary physiological parameters include heart rate, blood oxygen saturation, estimated blood flow velocity, and finger surface temperature obtained from the current measurement. Health recommendations are personalized, brief dietary or activity suggestions generated based on the current results and trends. The interactive interface displays the above blood glucose results to present them to the user in an intuitive, clear, and information-rich manner, providing targeted suggestions. A partial schematic diagram of the interactive interface is shown below. Figure 4 As shown.

[0057] In some embodiments, the controller is further configured to: perform identity authentication to determine the identity authentication result, determine the calibration instruction, and establish the target file to be tested based on the function trigger signal, calibration signal, and target file establishment signal in the interaction signal; and determine the measurement instruction based on the identity authentication result, target file to be tested, pre-filled information, preset verification conditions, and measurement signal in the interaction signal.

[0058] In this embodiment, the target profile to be measured, such as a user health profile, or simply a user profile, includes the user's personal information, historical blood glucose results, and health information. The function trigger signal is triggered when the user clicks the "Blood Glucose Measurement" icon on the interactive interface. The calibration signal is triggered when the user clicks the preset blood glucose model calibration icon on the interactive interface. The target profile creation signal is triggered when the user clicks the create user profile icon on the interactive interface. Alternatively, if the controller initiates identity authentication and detects that the user has not created a user profile when performing blood glucose measurement, it can send a target profile creation signal to the interactive interface to guide the user to create a user profile. The pre-filled information includes information and personal information that the user needs to provide to affect the measurement, including but not limited to age, height, weight, gender, and meal times.

[0059] The controller performs identity authentication based on the function trigger signal in the above-mentioned interaction signal to determine the identity authentication result. This enables the system to associate the identity authentication result with the user profile stored in the vehicle's cloud or local storage, extract information matching the pre-filled information from the user profile, and automatically fill it into the interactive interface. This provides convenience for users to input pre-filled information and updates the blood glucose measurement result to the corresponding user profile after the blood glucose measurement is completed, based on the identity authentication result.

[0060] The calibration command is determined based on the calibration signal in the interaction signal. For example, when the user clicks the preset blood glucose model calibration icon on the interaction interface, the calibration signal is triggered. If the calibration signal is feature correction, a feature correction command is issued; if the calibration signal is model fine-tuning, a model fine-tuning command is issued, so as to issue corresponding commands according to different calibration signals.

[0061] The system establishes a target profile based on the target profile, enabling the updating and maintenance of users' personal information, health information, and blood glucose results based on the target profile. This upgrades in-vehicle blood glucose testing from an isolated function to a sustainable and evolving personal health management service.

[0062] The measurement command is determined based on the identity authentication result, the target file to be tested, pre-filled information, preset verification conditions, and measurement signals in the interaction signals. For example, when a user clicks the "blood glucose monitoring" function icon on the interactive interface to trigger the function trigger signal, the controller immediately starts the identity authentication module. Since the preset blood glucose model (such as a non-invasive blood glucose prediction model) is highly dependent on the user's personal information (such as age, height, weight, and gender), the controller uses the following two strategies to obtain or confirm personal information: Active recognition strategy: The system uses the vehicle's built-in camera (e.g., located in the rearview mirror or A-pillar) to capture the user's facial image. A unique user ID is generated using a local or cloud-based facial recognition algorithm. The system obtains this ID (Identifier) ​​via the CAN bus or vehicle Ethernet and automatically retrieves the corresponding complete personal information from the user profile stored in the cloud or locally in the vehicle, pre-filling it into the input fields on the interactive interface.

[0063] Passive confirmation or manual input strategy: If the vehicle is not equipped with a camera or recognition fails (e.g., new user, wearing sunglasses), the interface will display the pre-filled information of the last successfully measured user as the default value, and prominently prompt the user to confirm or modify it.

[0064] Users can manually enter or adjust all the above pre-filled information.

[0065] After obtaining or confirming personal information, the user needs to enter key parameters from the pre-filled information, including the elapsed time (in minutes) since the last meal. This parameter is crucial for determining metabolic status. After confirming all information is correct, the user clicks the "Start Measurement" button to trigger the measurement signal. The controller issues a measurement command to begin signal acquisition. This integrates the in-vehicle blood glucose measurement function with the vehicle's identity authentication function. Identity authentication automatically links to the user's profile, guiding them to input key parameters (such as meal time), thus automatically linking blood glucose measurement to the user's profile and guiding them to input and confirm pre-filled information before starting the blood glucose measurement.

[0066] Furthermore, other components and functions of the vehicle-mounted blood glucose measuring device according to the above embodiments of the present invention are known to those skilled in the art, and will not be described in detail to reduce redundancy.

[0067] The following is for reference. Figure 5 and Figure 6 This invention describes an embodiment of an in-vehicle blood glucose measurement method.

[0068] like Figure 5 The diagram shown is a flowchart of an embodiment of the in-vehicle blood glucose measurement method of the present invention. The flowchart of the in-vehicle blood glucose measurement method of the present invention includes at least steps S1 and S2.

[0069] Step S1: Acquire PPG signal and / or temperature signal and / or humidity signal and / or inertial signal.

[0070] In this embodiment, the inertial signal includes, but is not limited to, operational signals such as triaxial acceleration and angular velocity, characterizing the macroscopic motion state (stationary, uniform, bumpy, etc.) at the moment of blood glucose measurement. These motion states can interfere with blood glucose measurement. The system acquires PPG signals and / or temperature and / or humidity signals and / or inertial signals. For example, a PPG sensor acquires a PPG signal after detecting a finger placed in a finger clip probe; an infrared sensor acquires the temperature signal of the fingertip skin surface after detecting a finger; a thermistor detects the temperature signal in the contact area to obtain the steady-state temperature gradient; a temperature and humidity sensor detects the temperature and humidity signals in the environment; and an inertial measurement unit acquires inertial signals. Acquiring these signals enables fusion measurement based on them, solving the problem of signal interference and poor stability in a vehicle-mounted vibration environment when using a single optical measurement method.

[0071] Step S2: Output blood glucose results based on PPG signal and / or temperature signal and / or humidity signal and / or inertial signal, preset filtering parameters and preset blood glucose model.

[0072] The steady-state temperature gradient or temperature difference sequence determined by the PPG signal and / or the fingertip skin surface temperature signal and / or the temperature signal within the contact area detected by the thermistor determines the original signal affecting the blood glucose result of the target. Combined with the inertial signal collected by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of the inertial signal on the signal acquisition and obtaining a pure signal. Based on the pure signal, the temperature and humidity signals in the environment, as well as other information affecting the blood glucose measurement result and the preset blood glucose model, an accurate blood glucose result is output. The influence of the environmental signal of the target on the signal acquisition is eliminated, improving the accuracy and reliability of blood glucose measurement. Furthermore, it enables deep integration of blood glucose measurement with vehicle functions, resulting in strong interoperability. For example, when the vehicle is bumpy, the controller can acquire the real-time inertial signal from the inertial measurement unit and automatically enhance the suppression of motion artifacts in specific frequency bands based on the inertial signal and preset filtering algorithms. This allows for the maximum extraction of pure physiological waveforms from contaminated signals, and also improves the vehicle's aesthetics and comfort. For instance, the integrated in-vehicle blood glucose measurement device avoids the problems of aftermarket or external blood glucose meters occupying passenger space, having messy cables, and compromising the overall integrity and premium feel of the interior.

[0073] According to the vehicle-mounted blood glucose measurement method of the present invention, the original signal affecting the blood glucose result of the target is determined by acquiring the PPG signal and / or temperature signal of the target and the temperature signal and / or humidity signal of the environment in which the target is located. The original signal is filtered by a preset filtering parameter determined by combining the acquired inertial signal to obtain a pure signal. This eliminates the influence of vehicle operation signal and environmental data of the target on signal acquisition. The accurate blood glucose result is output based on the pure signal and the preset blood glucose model, thereby improving the accuracy and reliability of blood glucose measurement.

[0074] In some embodiments, the PPG signal includes a second PPG signal, the temperature signal includes a first temperature signal and a third temperature signal, and the humidity signal includes a first humidity signal. Outputting a blood glucose result based on the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters, and a preset blood glucose model includes: filtering the second PPG signal and / or the third temperature signal based on the inertial signal, the second PPG signal and / or the third temperature signal, and the preset filtering parameters to determine blood glucose factors; performing feature calculations on the blood glucose factors to determine human biological characteristics; determining clinical parameters, static physiological characteristics, and contextual characteristics based on the target data; determining a feature vector based on human biological characteristics, the first temperature signal, the first humidity signal, clinical parameters, static physiological characteristics, and contextual characteristics; and outputting a blood glucose result based on the feature vector and the preset blood glucose model.

[0075] In this embodiment, the second PPG signal and the third temperature signal are PPG signals and temperature signals acquired according to a continue acquisition command after the preset target placement conditions are met. The third temperature signal includes the temperature acquired by the thermistor and the fingertip infrared temperature acquired by the infrared sensor. The preset target placement conditions are the conditions for detecting whether the user's finger placement meets the measurement requirements. The continue acquisition command is a command issued after confirming that signal acquisition can continue. The command includes a second preset time and the acquisition of multimodal signals. The multimodal signals include the PPG signal, the temperature acquired by the thermistor, and the fingertip infrared temperature acquired by the infrared sensor.

[0076] The system adaptively filters the second PPG signal and / or the third temperature signal based on the inertial measurement unit (IMU). Specifically, instead of using fixed filter parameters, the system uses synchronously acquired inertial signals, particularly the acceleration spectrum reflecting vibration frequency obtained from the triaxial acceleration and angular velocity of the inertial signals. Combining this with the second PPG signal and the third temperature signal, it identifies the interference waveforms affected by the inertial signals. Based on these interference waveforms, the system dynamically adjusts the filter's cutoff frequency and filtering algorithm parameters until the requirements for filtering out the interference waveforms are met. The cutoff frequency and filtering algorithm parameters are then determined as preset filtering parameters. Adaptive filtering of the second PPG signal and / or the third temperature signal using these preset filtering parameters yields a clean waveform free of interference, which is then used as the blood glucose factor. For example, when a vehicle experiences severe vibrations, the algorithm automatically enhances its ability to suppress motion artifacts in specific frequency bands, thereby extracting the purest waveform from the contaminated signal to the maximum extent possible as the blood glucose factor.

[0077] Characterization of blood glucose factors is performed to determine human biological characteristics, including: metabolic heat characteristics, such as metabolic heat flux (radiation, convection, and evaporative cooling), thermal conductivity, and their rate of change calculated based on a heat conduction model; blood oxygen parameters, such as blood oxygen saturation values ​​calculated based on dual-wavelength PPG; and heart rate variability (HRV) characteristics, including: time-domain characteristics describing the statistical properties of the interval sequence, such as mean heart rate interval, standard deviation, root mean square error, standard deviation under different duration windows, coefficient of variation, percentage interval counts, extreme values, and histogram-derived indices; and frequency-domain characteristics, quantifying heart rate vibration through power spectrum analysis. The energy oscillating in different frequency bands includes ultra-low frequency, low frequency, high frequency, and very high frequency power, total power, low-frequency to high-frequency power ratio, and their normalized values; nonlinear and geometric characteristics reveal the complex structure and chaotic properties of heart rate dynamics, such as the standard deviation of the Poincaré plot, the area of ​​the scatter plot (HRV_S), complexity and vulnerability indices, detrended fluctuation analysis scaling exponents, multi-scale entropy, and Lyapunov exponents; multi-scale and multifractal characteristics are further extracted through multifractal detrended fluctuation analysis to extract fine indicators such as the width, peak value, and asymmetry of the scaling law, in order to characterize the heterogeneity of dynamics at multiple scales. The above feature calculations use existing techniques and will not be elaborated further.

[0078] Based on the target data file, clinical parameters, static physiological characteristics, and contextual characteristics are determined. Clinical parameters include: fasting blood glucose level (which needs to be calibrated regularly) and estimated glycated hemoglobin level; static physiological characteristics include: user's age, gender, height, weight, and BMI (Body Mass Index); contextual characteristics include the time after meal for this measurement. If some clinical parameters, static physiological characteristics, and contextual characteristics cannot be obtained from the target data file, the user is guided to input them, and the input parameters are updated in the target data file.

[0079] A comprehensive feature vector is constructed based on human biometrics, first temperature signal, first humidity signal, clinical parameters, static physiological characteristics, and contextual features. This vector is then input into a pre-trained, preset blood glucose prediction model. This model may employ, but is not limited to, any one or more of the following fusion machine learning algorithms: Ensemble learning models, such as random forests and XGBoost (extreme gradient boosting), excel at handling structured features and providing importance analysis.

[0080] Support vector machines have good generalization ability in the case of small samples.

[0081] Deep learning models, such as convolutional neural networks, are used to extract deep features of PPG waveforms, while long short-term memory networks are used to process the temporal dependencies of signal sequences.

[0082] The model outputs a predicted blood glucose value in mmol / L or mg / dL. Based on the predicted value and the target data, a comprehensive evaluation is performed to determine the blood glucose result, which is then displayed on the interactive interface. A clean waveform is obtained by adaptively filtering the PPG and / or temperature signals using inertial signals. Multi-dimensional physiological features are extracted from this clean waveform through feature calculation. Combined with the first temperature and first humidity signals representing environmental signals, as well as clinical parameters, static physiological features, and contextual features, a preset blood glucose model is used to calculate the blood glucose value. Further analysis of the blood glucose value is then performed using the target data, providing visualized results and trend analysis. This achieves intelligent interaction and a closed loop of data value from "single measurement" to "continuous health management" of blood glucose levels. It solves the problems of existing technologies that only perform a single blood glucose measurement and output instantaneous results, limiting functionality to safety warnings, and resulting in isolated data that cannot be accumulated.

[0083] In some embodiments, the PPG signal includes a first PPG signal and a second PPG signal, and the temperature signal includes a first temperature signal, a second temperature signal, and a third temperature signal. Before acquiring the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, the method includes: acquiring an interaction signal; performing identity authentication and establishing a target profile according to the function trigger signal and the target profile establishment signal in the interaction signal; determining a measurement instruction according to the identity authentication result, the target profile, pre-filled information, preset verification conditions, and the measurement signal in the interaction signal; determining the first temperature signal and the first humidity signal of the environment where the target is located at a first preset time according to the measurement instruction; determining an environmental anomaly prompt and / or a collection instruction according to the first temperature signal, the first humidity signal, and preset environmental parameters; determining the first PPG signal and the second temperature signal according to the collection instruction and preset detection conditions; determining a continue collection instruction and / or a real-time adjustment instruction according to the first PPG signal and / or the second temperature signal and preset target placement conditions; and determining the second PPG signal and the third temperature signal of the target at a second preset time according to the continue collection instruction.

[0084] In this embodiment, interaction signals are acquired to identify interaction information based on the interaction signals and issue corresponding instructions.

[0085] Based on the function trigger signal and the target file creation signal in the interaction signal, corresponding identity authentication is performed to determine the identity authentication result and create the target file to be tested. This enables the automatic filling of information matching the pre-filled information into the interactive interface by associating the identity authentication result with the user file stored in the vehicle's cloud or local storage. This provides convenience for users to input pre-filled information, and updates the blood glucose measurement result to the corresponding user file according to the identity authentication result after the blood glucose measurement is completed. It also enables the updating and maintenance of users' personal information, health information, and blood glucose results based on the target file to be tested, upgrading the vehicle blood glucose detection from an isolated function to a continuously evolving personal health management service. The process has already been explained in the section on the controller's other functions mentioned above, and will not be repeated here to reduce redundancy.

[0086] The measurement command is determined based on the identity authentication result, the target file to be tested, pre-filled information, preset verification conditions, and measurement signals in the interaction signals. This integrates the on-board blood glucose measurement function with the vehicle's identity authentication function, enabling automatic association of blood glucose measurement with the user's file and guiding the input and confirmation of pre-filled information before starting blood glucose measurement. The process has already been explained in the section on other uses of the controller mentioned above, and will not be repeated here to reduce redundancy.

[0087] The first preset time is the duration for which microenvironmental data will be continuously collected, determined according to requirements and experimental calibration, for example, 3 seconds. The second preset time is the duration for which signal collection can continue after the target has placed its finger into the signal acquisition probe, the finger posture meets the measurement requirements, and there are no abnormalities such as finger movement, excessively tight / loose pressing, or brief removal. For example, 40 seconds. The measurement instructions include, but are not limited to, the first preset time and the measured microenvironmental data, which includes a first temperature signal characterizing ambient humidity and a first humidity signal characterizing ambient temperature.

[0088] Based on the measurement command, the system determines the first temperature and humidity signals of the target environment at a preset time. For example, after the user clicks "Start Measurement," the measurement signal is triggered. The on-board blood glucose device does not immediately require finger placement but enters a smart waiting period. After receiving the measurement signal, the controller issues a measurement command. Based on the command, it determines the microenvironmental data within the measurement chamber for at least 3 seconds, obtaining the first temperature and humidity signals. This process is "implicit" and requires no additional user intervention. This allows for environmental drift correction of the preset blood glucose model using the first temperature and humidity signals.

[0089] The preset environmental parameters are used to determine whether the environment is abnormal, such as the preset ideal range: temperature 18-30°C, humidity 20%-80%. The acquisition command is a prompt and guide for the user to place their finger into the signal acquisition probe.

[0090] Based on the first temperature signal, the first humidity signal, and preset environmental parameters, an environmental anomaly warning and / or data collection command are determined. For example, the environmental parameters are evaluated in real time based on the first temperature signal, the first humidity signal, and preset environmental parameters. If the environment exceeds the preset ideal range, an environmental anomaly warning will be given to the interactive interface (e.g., "The temperature inside the car is low; the blood glucose test result may be abnormal"). However, the process will not be forcibly terminated; the data collection command will still be issued because the subsequent algorithm will dynamically compensate based on the first temperature signal and the first humidity signal. It is understandable that if the environment exceeds the preset ideal range, the process can also be forcibly terminated, and an environmental anomaly warning and adjustment suggestions can be given to the user. The measurement steps can continue after the user has made the adjustments. This step fully utilizes the natural interval between the user clicking "Start" and actually placing their finger, achieving a seamless environmental baseline establishment.

[0091] The preset detection conditions are those under which the sensor detects a finger being placed. Based on the acquisition command and the preset detection conditions, a first PPG signal and a second temperature signal are determined. For example, through the acquisition command, the interactive interface prompts the user "Please place your finger" with graphical guidance. When the infrared sensor and PPG sensor of the finger clip detect a finger being placed according to the preset detection conditions, the PPG sensor acquires the PPG signal as the first PPG signal, and the infrared sensor acquires the temperature signal as the second temperature signal, thus achieving preliminary signal acquisition of the finger.

[0092] The command to continue acquisition is issued by the controller after it has confirmed that signal acquisition can continue after performing real-time analysis of the finger status based on the first PPG signal and finding no abnormalities. The command includes a second preset time and the acquisition of multimodal signals, including the PPG signal, the temperature acquired by the thermistor, and the fingertip infrared temperature acquired by the infrared sensor. The preset target placement conditions are to detect whether the user's finger placement meets the measurement requirements.

[0093] Based on the first PPG signal and / or the second temperature signal, and the preset placement conditions of the target to be measured, the system determines the instructions to continue data acquisition and / or to adjust the data in real time. For example, it activates a real-time finger status monitoring algorithm. The algorithm continuously analyzes whether the first PPG signal and / or the second temperature signal meet the preset placement conditions of the target to be measured. For instance, based on the quality index, waveform stability, and contact impedance changes of the first PPG signal and / or the second temperature signal, it determines whether there are any abnormalities such as finger movement, excessively tight / loose pressure, or brief removal. Once an abnormality is detected, a real-time adjustment instruction is issued, prompting the user to adjust their posture in real time through the interactive interface. If no abnormality is detected, the system confirms the instruction to continue data acquisition, thus achieving simultaneous environmental perception and finger status monitoring during the data acquisition process, ensuring the accuracy of the acquired data.

[0094] To address vibration interference, a detection principle combining metabolic thermal and optical multi-parameter fusion is employed. Metabolic thermal signals are relatively insensitive to mechanical vibration and can complement and verify optical signals. Therefore, based on the continued acquisition command, the second PPG signal and third temperature signal of the target under test are determined for a second preset time to obtain complementary and verifying optical and metabolic thermal signals. For example, based on the continued acquisition command, the fingertip infrared temperature and the temperature in the contact area between the thermistor and the finger are continuously acquired by the infrared sensor and thermistor within the signal acquisition probe for a second preset time, respectively, to determine the third temperature signal. This allows the controller to determine the temperature difference sequence based on the temperature acquired by the thermistor and prepare for filtering the temperature difference sequence and fingertip infrared temperature based on inertial signals.

[0095] In some embodiments, the vehicle-mounted blood glucose measurement method further includes: acquiring an interaction signal; determining a calibration instruction based on a calibration signal in the interaction signal; when the calibration instruction is feature correction, correcting the target file to be detected based on the calibration parameters in the interaction signal; and / or when the calibration instruction is model fine-tuning, determining a high-quality sample set based on the blood glucose results; and after the high-quality sample set reaches a preset number, training a preset blood glucose model based on a preset training algorithm to obtain a trained preset blood glucose model.

[0096] In the embodiments, the preset training algorithm includes, but is not limited to, incremental learning or lightweight retraining techniques; the preset number is a training threshold for the sample set determined according to requirements and experimental calibration, such as 5 times.

[0097] The calibration signal includes calibration mode and calibration parameters. To address the slow, long-term changes in the user's physiological state and improve individualized accuracy, the system provides an "Algorithm Calibration" entry point for optimizing the preset blood glucose model. Users can click the "Algorithm Calibration" entry button on the blood glucose result viewing interface. The system will guide the user to input reference values ​​from clinical parameters and / or static physiological characteristics and / or contextual features. For example, based on the measurement results from the finger-prick blood glucose meter, the user can input the fasting blood glucose value from the clinical parameters, triggering the calibration signal in the interaction signals. When the calibration mode in the calibration signal is feature correction, the calibration instruction is feature correction. For example, if the user selects "Fasting Feature Correction," the calibration instruction is "Fasting Feature Correction" within feature correction. The calibration parameter is the fasting blood glucose value input by the user in this instance. Using the fasting blood glucose value as a reference value, combined with the user's current state, the system backward optimizes and updates the key model input feature, "Fasting Blood Glucose Value," stored in the target file (such as the user's file), for all subsequent predictions.

[0098] If the user selects "Model Fine-tuning," the calibration command is for model fine-tuning. The calibration parameters are all feature data and reference values ​​related to the current blood glucose result. All feature data and reference values ​​are treated as new high-quality sample pairs and stored in the user's personalized calibration dataset to obtain a high-quality sample set. Once the calibration dataset has accumulated to a certain number (e.g., 5 sets), incremental learning or lightweight retraining techniques are used in the background to perform personalized fine-tuning of the user's preset blood glucose model, so that its prediction curve gradually approximates the user's actual physiological response.

[0099] The above calibration steps create a closed-loop, intelligent, and adaptive in-vehicle non-invasive blood glucose measurement process. The calibration signal in the interactive signal is used to calibrate the target data for subsequent measurements and / or update the high-quality sample set to optimize the preset blood glucose model. This fully considers the unique characteristics of the in-vehicle environment, individual user differences, and the long-term evolution of blood glucose measurement, thus achieving a harmonious balance between convenience, accuracy, safety, and user experience.

[0100] Furthermore, the in-vehicle blood glucose measurement method described in the above embodiments can construct a non-invasive blood glucose monitoring closed-loop system with continuous self-optimization capabilities, designed for the dynamic in-vehicle environment. This system overcomes the limitations of traditional single-measurement methods. Through multi-signal and parameter fusion for anti-interference, adaptive filtering with inertial signal collaboration, and personalized model fine-tuning based on user feedback, it achieves a leap from "static measurement" to "dynamic adaptation," and from "general model" to "individualized calibration." Ultimately, it upgrades in-vehicle blood glucose monitoring from an isolated function to a sustainably evolving personal health management service. The above embodiments are not simple improvements to existing technologies, but rather a systematic and original engineering solution design, from underlying principles to top-level applications, specifically addressing the unique in-vehicle environment, multi-user sharing scenarios, and the need for in-depth data utilization.

[0101] The following is for reference. Figure 6 The in-vehicle blood glucose measurement method of this invention will be described in detail in this embodiment.

[0102] like Figure 6 The diagram shown is a detailed flowchart of an embodiment of the in-vehicle blood glucose measurement method of the present invention. The in-vehicle blood glucose measurement method of this embodiment includes at least steps S10-S34.

[0103] Step S10: The user clicks the blood glucose function, triggering the function trigger signal in the interaction signals.

[0104] Step S11: Establish the target file to be detected based on the target file establishment signal in the interaction signal.

[0105] Step S12: Determine whether the identity authentication is successful. If yes, proceed to step S13; otherwise, proceed to step S14.

[0106] Step S13: Confirm the pre-filled information based on the target file matched with the identity and the meal time entered by the target.

[0107] Step S14: Confirm the pre-filled information based on the target file of the previous target and the age and / or height and / or weight and / or gender and meal time entered by the target.

[0108] Step S15: The user confirms that the pre-filled information meets the preset verification conditions.

[0109] Step S16: Click "Start Blood Glucose Measurement" to trigger the measurement signal in the interaction signals.

[0110] Step S17: Determine the measurement command based on the measurement signal.

[0111] Step S18: According to the measurement instruction, determine the first temperature signal and the first humidity signal of the target environment to be measured at the first preset time.

[0112] Step S19: Determine an environmental anomaly alert and / or data acquisition command based on the first temperature signal, the first humidity signal, and preset environmental parameters.

[0113] Step S20: Insert your finger as prompted by the acquisition instructions.

[0114] Step S21: Determine whether a finger has been inserted based on preset detection conditions. If yes, proceed to step S22; otherwise, proceed to step S16.

[0115] Step S22: Determine the first PPG signal and the second temperature signal.

[0116] Step S23: Determine if the first PPG signal and / or the second temperature signal meet the preset target placement conditions. If they do, proceed to step S25; otherwise, proceed to step S24.

[0117] Step S24: Issue real-time adjustment instructions and prompt the user to make real-time adjustments through the interactive interface.

[0118] Step S25: Determine the command to continue acquisition, and determine the second PPG signal and the third temperature signal of the target to be measured at the second preset time according to the command to continue acquisition.

[0119] Step S26: Acquire the inertial signal, filter the second PPG signal and / or the third temperature signal based on the inertial signal, the second PPG signal and / or the third temperature signal and preset filtering parameters, and determine the blood glucose factor.

[0120] Step S27: Perform feature calculations on blood glucose factors to determine human biological characteristics.

[0121] Step S28: Determine clinical parameters, static physiological characteristics, and contextual characteristics based on the target profile.

[0122] Step S29: Determine the feature vector based on human biological characteristics, first temperature signal, first humidity signal, clinical parameters, static physiological characteristics, and contextual characteristics.

[0123] Step S30: Output blood glucose results based on feature vectors and preset blood glucose models.

[0124] Step S31: Update the target file to be tested based on the blood glucose result and display it on the interactive interface.

[0125] Step S32: Obtain the interaction signal and determine the calibration command based on the calibration signal in the interaction signal.

[0126] Step S33: When the calibration instruction is feature correction, the target file to be detected is corrected according to the calibration parameters in the interaction signal.

[0127] In step S34, and / or when the calibration command is for model fine-tuning, a high-quality sample set is determined based on the blood glucose results. After the high-quality sample set reaches a preset number, the preset blood glucose model is trained based on the preset training algorithm to obtain the trained preset blood glucose model.

[0128] According to the vehicle-mounted blood glucose measurement method of the present invention, the original signal affecting the blood glucose result of the target is determined by acquiring the PPG signal and / or temperature signal of the target and the temperature signal and / or humidity signal of the environment in which the target is located. The original signal is filtered by a preset filtering parameter determined by combining the acquired inertial signal to obtain a pure signal. This eliminates the influence of vehicle operation signal and environmental data of the target on signal acquisition. The accurate blood glucose result is output based on the pure signal and the preset blood glucose model, thereby improving the accuracy and reliability of blood glucose measurement.

[0129] The vehicle according to embodiments of the present invention is described below. The vehicle according to embodiments of the present invention includes: an on-board blood glucose measuring device as described in any of the above embodiments.

[0130] According to embodiments of the present invention, an on-board blood glucose measurement device is used in a vehicle, integrating the mounting base, signal acquisition probe, and controller into the vehicle. This improves the integration of the on-board blood glucose measurement device with the vehicle, allowing for deep integration of blood glucose measurement with vehicle functions, strong linkage, and enhanced vehicle aesthetics and comfort. Based on the PPG signal and / or temperature signal of the target being measured acquired by the signal acquisition probe, the original signal affecting the blood glucose result of the target being measured is determined. Combined with the inertial signal acquired by the inertial measurement unit, preset filtering parameters are determined to filter the original signal, eliminating the influence of the inertial signal on signal acquisition and obtaining a pure signal. Additionally, the temperature and / or humidity signals of the environment in which the target being measured is located are acquired. Based on the pure signal, temperature signal, and / or humidity signal, and a preset blood glucose model, an accurate blood glucose result is output, eliminating the influence of environmental signals in which the target being measured is located on signal acquisition, thus improving the accuracy and reliability of blood glucose measurement.

[0131] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0132] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A vehicle-mounted blood glucose measuring device, characterized in that, include: Mounting substrate; A signal acquisition probe is connected to the mounting base and is used to acquire PPG signals and / or temperature signals and / or humidity signals; The controller is connected to the signal acquisition probe and the vehicle's inertial measurement unit, respectively, and is used to acquire the inertial signal acquired by the inertial measurement unit, and output blood glucose results based on the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters, and preset blood glucose model.

2. The vehicle-mounted blood glucose measuring device according to claim 1, characterized in that, The mounting base is set in a preset area of ​​the vehicle. The mounting base is provided with a telescopic mechanism, which is connected to a preset wiring harness for releasing or storing the signal acquisition probe.

3. The vehicle-mounted blood glucose measuring device according to claim 1, characterized in that, The temperature signal includes a first temperature signal, a second temperature signal, and a third temperature signal; the humidity signal includes a first humidity signal; the PPG signal includes a first PPG signal and a second PPG signal; and the signal acquisition probe includes: An environmental signal acquisition module is used to continuously acquire the first temperature signal and the first humidity signal of the environment where the target to be measured is located for a first preset time according to the measurement instructions issued by the controller. An optical signal acquisition module is used to acquire the first PPG signal of the target under test according to the acquisition command issued by the controller, and / or to continuously acquire the second PPG signal of the target under test for a second preset time according to the continue acquisition command issued by the controller. The thermal signal acquisition module is used to acquire the second temperature signal of the target under test according to the acquisition command issued by the controller, and / or to continuously acquire the third temperature signal of the target under test for a second preset time according to the continue acquisition command issued by the controller.

4. The vehicle-mounted blood glucose measuring device according to claim 3, characterized in that, The vehicle-mounted blood glucose measuring device also includes: An interactive interface, connected to the controller, is used to receive interactive signals and to display the blood glucose results.

5. The vehicle-mounted blood glucose measuring device according to claim 4, characterized in that, The controller is also used for: Based on the function trigger signal, calibration signal and target file creation signal in the interaction signal, identity authentication is performed to determine the identity authentication result, calibration instructions are determined and target files are created to be tested; The measurement command is determined based on the identity authentication result, the target file to be detected, the pre-filled information, the preset verification conditions, and the measurement signal in the interaction signal.

6. A method for measuring blood glucose in a vehicle, characterized in that, The method is used in any one of the vehicle-mounted blood glucose measuring devices according to claims 1-5 above, and the method includes: Acquire PPG signals and / or temperature signals and / or humidity signals and / or inertial signals; The blood glucose result is output based on the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters, and preset blood glucose model.

7. The vehicle-mounted blood glucose measurement method according to claim 6, characterized in that, The PPG signal includes a second PPG signal, the temperature signal includes a first temperature signal and a third temperature signal, and the humidity signal includes a first humidity signal. The step of outputting blood glucose results based on the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, preset filtering parameters, and a preset blood glucose model includes: The blood glucose factor is determined by filtering the second PPG signal and / or the third temperature signal based on the inertial signal, the second PPG signal and / or the third temperature signal and the preset filtering parameters. The blood glucose factors are used to perform feature calculations to determine human biological characteristics; Clinical parameters, static physiological characteristics, and contextual characteristics are determined based on the target profile; The feature vector is determined based on the human biometrics, the first temperature signal, the first humidity signal, the clinical parameters, the static physiological characteristics, and the contextual features. The blood glucose result is output based on the feature vector and the preset blood glucose model.

8. The vehicle-mounted blood glucose measurement method according to claim 6, characterized in that, The PPG signal includes a first PPG signal and a second PPG signal, the temperature signal includes a first temperature signal, a second temperature signal, and a third temperature signal, and the humidity signal includes a first humidity signal. Before acquiring the PPG signal and / or the temperature signal and / or the humidity signal and / or the inertial signal, the process includes: Acquire interaction signals; Based on the function trigger signal and the target file creation signal in the interaction signal, identity authentication is performed to determine the identity authentication result and the target file to be detected is created accordingly. The measurement command is determined based on the identity authentication result, the target file to be detected, the pre-filled information, the preset verification conditions, and the measurement signal in the interaction signal. According to the measurement instruction, the first temperature signal and the first humidity signal of the environment where the target to be measured is located at the first preset time are determined; An environmental anomaly alert and / or data collection command are determined based on the first temperature signal, the first humidity signal, and preset environmental parameters. The first PPG signal and the second temperature signal are determined according to the acquisition command and preset detection conditions; Based on the first PPG signal and / or the second temperature signal, and the preset placement conditions of the target to be measured, determine the instruction to continue acquisition and / or the instruction to adjust in real time; The second PPG signal and the third temperature signal of the target to be measured are determined according to the continued acquisition instruction for the second preset time.

9. The vehicle-mounted blood glucose measurement method according to claim 8, characterized in that, The vehicle-mounted blood glucose measurement method also includes: Acquire interaction signals; The calibration command is determined based on the calibration signal in the interaction signal; When the calibration instruction is a feature correction, the target file to be detected is corrected according to the calibration parameters in the interaction signal; When the calibration instruction is for model fine-tuning, a high-quality sample set is determined based on the blood glucose results. After the high-quality sample set reaches a preset number, the preset blood glucose model is trained based on a preset training algorithm to obtain the trained preset blood glucose model.

10. A vehicle, characterized in that, include: The vehicle-mounted blood glucose measuring device as described in any one of claims 1-5.

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