Intelligentized spirometry device

Abstract

The application belongs to the technical field of medical equipment and health detection, and discloses an intelligent vital capacity testing device, which comprises a host and a recognition part, a visual monitoring module is arranged in the recognition part, the visual monitoring module is used for collecting visual data containing the upper body and the mouth area of a user, a main control board, a fixed pipe and a power module are arranged in the host, an airflow detection module is arranged on the fixed pipe, the visual monitoring module and the airflow detection module are electrically connected with the main control board, the main control board is configured to receive and process the visual data collected by the visual monitoring module and the vital capacity data collected by the airflow detection module, analyze the test posture and the mouth sealing state of the user based on the visual data, and judge the effectiveness of the vital capacity data collected by the airflow detection module, and a display screen is rotatably arranged on the recognition part. The visual monitoring module and the airflow detection module work cooperatively to improve the reliability of the measurement data, and the main control board provides prompt information after recognizing the image data.

Description

Technical Field

[0001] This invention relates to the field of medical equipment and health monitoring technology, and in particular to an intelligent lung capacity testing device. Background Technology

[0002] Vital capacity (VCC) is one of the core indicators for measuring cardiopulmonary function, respiratory muscle strength, and growth and development level in humans. It is widely used in national physical health monitoring, school physical education tests, clinical rehabilitation assessments, and mass fitness activities. Accurate and convenient measurement of VCC is of significant practical importance for health management, disease prevention, and sports training. Currently, most mainstream VCC testing devices on the market are based on airflow sensing or volumetric measurement principles. Their typical operating method is as follows: the user blows air into the mouthpiece in one swift motion; sensors inside the device (such as turbine flow sensors, differential pressure sensors, or piston-type volumetric cylinders) convert the airflow signal into an electrical signal, thereby calculating the volume of exhaled air, i.e., the vital capacity value.

[0003] However, the measurement results of traditional lung capacity testing equipment are highly dependent on the user's standardized exhalation behavior. Accurate lung capacity testing requires the user to maintain an upright and stable posture during the test, ensuring a complete seal between the mouth and nose and the mouthpiece. Traditional lung capacity testing equipment is merely a passive "measuring tool," unable to sense or judge whether the user has met these key prerequisites. In actual testing, especially for children or first-time users, common phenomena such as hunching over, head tilting, and air leakage from the corners of the mouth are prevalent. These factors directly lead to incomplete and ineffective entry of exhaled air into the measurement channel, causing data distortion. At the same time, existing equipment has limited functionality, usually only providing a final numerical display, belonging to a simple "blow and read" mode, lacking effective guidance, correction, and feedback throughout the testing process. Therefore, designing an intelligent lung capacity testing device that combines sensors and a camera can significantly improve the accuracy of the testing process and the user experience, possessing significant practical value and market potential. Summary of the Invention

[0004] The present invention aims to provide an intelligent lung capacity testing device to solve the problems of insufficient testing accuracy and lack of operation guidance in traditional lung capacity testing equipment.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] An intelligent lung capacity testing device includes a main unit and an identification unit. The identification unit is equipped with a visual monitoring module, which is used to collect visual data including the user's upper body and mouth area.

[0007] The main unit is equipped with a main control board, a fixed tube and a power module. The fixed tube is connected to the blowing tube, and the blowing tube has a mouthpiece at the end. The fixed tube is equipped with an airflow detection module, which is used to collect the airflow signal generated by the user's blowing and convert it into vital capacity data.

[0008] Both the visual monitoring module and the airflow detection module are electrically connected to the main control board. The main control board is configured to: receive and process visual data collected by the visual monitoring module and lung capacity data collected by the airflow detection module; analyze the user's test posture and mouth sealing status based on the visual data; determine the validity of the lung capacity data collected by the airflow detection module; and generate prompt information based on the visual data and lung capacity data.

[0009] The identification unit is equipped with a rotating display screen, which is electrically connected to the main control board and is used to output the prompt information generated by the main control board.

[0010] Furthermore, the visual monitoring module includes an RGBD camera module, which is used to acquire depth images and infrared images when the user is using the device. The main control board uses the depth images and infrared images acquired by the RGBD camera module to identify key points of the user's skeleton and mouth seal, in order to determine whether the test posture and mouth seal are qualified.

[0011] Furthermore, the main control board is configured to: when the image data acquired by the RGBD camera module detects that the user's posture does not meet the preset standard, control the display screen to output a first prompt message; when air leakage is detected at the mouth, control the display screen to output a second prompt message; when the main control board determines that the test state and the mouth seal state are both valid, record the tested airflow data as valid data, and control the display screen to output the airflow velocity curve and vital capacity result.

[0012] Furthermore, the airflow detection module includes a differential pressure sensor module and an environmental sensor module mounted on a fixed pipe. The differential pressure sensor module is used to collect airflow velocity and flow rate data; the environmental sensor module is used to collect ambient temperature, humidity and pressure data, and to perform real-time compensation for air density.

[0013] Furthermore, the identification unit is equipped with a light sensor module and a supplementary light. Both the light sensor module and the supplementary light are electrically connected to the main control board. The light sensor module is used to collect ambient light intensity data, and the main control board is configured to control the brightness of the supplementary light and the display screen based on the light intensity data collected by the light sensor module.

[0014] Furthermore, a communication module is provided on the main control board, which is used for wireless data transmission.

[0015] Furthermore, the main unit is provided with a storage slot for storing the air pipe and mouthpiece, and a slot cover is provided at the opening of the storage slot.

[0016] Furthermore, the main unit has two sets of telescopic rods arranged opposite each other, with the top of the telescopic rods connected to the identification unit, and several suction cups arranged on the bottom surface of the main unit.

[0017] The principles and beneficial effects of the technical solution are as follows:

[0018] This invention provides an intelligent lung capacity testing device:

[0019] 1. By working together with the visual monitoring module and the airflow detection module, invalid or distorted data caused by air leakage or posture deviation are automatically filtered out, ensuring that the final lung capacity value comes from a complete and standardized exhalation process, effectively improving the reliability, authenticity and comparability of the measurement data.

[0020] 2. After the main control board identifies the image data of the visual monitoring module, it provides corresponding prompts and displays them in real time on the screen, making the correction guidance more concrete and immediate, so that users can understand and adjust their own actions, making the device more intelligent.

[0021] 3. During the test, the airflow data collected by the airflow detection module is processed by the main control board to generate the blowing rate change curve and the air volume progress bar, and displayed in real time on the display screen to provide personalized feedback and increase interactivity. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the structure of an intelligent lung capacity testing device according to the present invention.

[0023] Figure 2 This is a schematic diagram of the assembly structure of an intelligent lung capacity testing device according to the present invention.

[0024] Figure 3 This is a schematic diagram showing the stored state of an intelligent lung capacity testing device according to the present invention.

[0025] Figure 4 This is a flowchart of an intelligent lung capacity testing device according to the present invention.

[0026] The corresponding labels in the attached diagram are named as follows: 1. Main unit; 101. Main control board; 102. Communication module; 103. Fixing tube; 104. Differential pressure sensor module; 105. Environmental sensor module; 106. Power supply module; 107. Air blowing tube; 108. Nozzle; 2. Recognition unit; 201. RGBD camera module; 202. Light sensor module; 203. Fill light; 3. Telescopic rod; 4. Display screen; 5. Placement slot; 501. Slot cover; 502. Suction cup. Detailed Implementation

[0027] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments:

[0028] like Figures 1-4 As shown, an intelligent lung capacity testing device includes a main unit 1 and a recognition unit 2. The main unit 1 can be placed on a table, and the recognition unit 2 can be lifted so that it is roughly level with the user's neck. The recognition unit 2 is equipped with a visual monitoring module, which is used to collect visual data including the user's upper body and mouth area.

[0029] The host 1 is equipped with a main control board 101, a fixed tube 103, and a power module 106. The core microcontroller (MCU) of the main control board 101 can be an existing STM32H743 series chip, which is responsible for running control logic, sensor data acquisition, and fusion algorithms. The main control board 101 is also equipped with a dedicated vision processing coprocessor, which can be an existing Intel Movidius Myriad X (VPU), for efficient operation of deep learning posture recognition models. The power module 106 can be an existing dual-mode power supply, which supports battery power mode and plug-in mode. The fixed tube 103 is connected to the blowing tube 107. The blowing tube 107 is equipped with a mouthpiece 108 at the end. The fixed tube 103 is equipped with an airflow detection module, which is used to collect the airflow signal generated by the user's blowing and convert it into lung capacity data.

[0030] Both the visual monitoring module and the airflow detection module are electrically connected to the main control board 101. The main control board 101 is configured to: receive and process visual data collected by the visual monitoring module and lung capacity data collected by the airflow detection module; analyze the user's test posture and mouth sealing status based on the visual data; determine the validity of the lung capacity data collected by the airflow detection module; and generate prompt information based on the visual data and lung capacity data.

[0031] The recognition unit 2 is rotatably equipped with a display screen 4, which can be a 7-inch capacitive touch screen of the prior art; the display screen 4 is electrically connected to the main control board 101 and is used to output the prompt information generated by the main control board 101.

[0032] The main control board 101 stores a computer program. When the user picks up the mouthpiece 108 and uses the device, the visual monitoring module is activated to capture images of the user's upper body and mouth features. The main control board 101 runs the human skeleton key point recognition model to extract key points such as the user's nose, neck, shoulders, and chest cavity. It monitors the user's posture, such as the spinal tilt angle (within ±5° standard) and head pitch angle (within ±10° standard). If any posture exceeds the standard, the display screen 4 is controlled to output prompt information to help the user adjust their posture in time. After the posture monitoring is passed, the user is reminded to take a deep breath. At the same time, the inhalation depth is quantified by monitoring the changes in the user's thoracic skeleton.

[0033] During the blowing process, the airflow detection module detects the airflow velocity and flow rate, and automatically performs real-time gas density compensation to improve test accuracy. Simultaneously, the main control board 101 compares the airflow data with a standard blowing model, using the gas flow meter to determine if the user is performing non-standard blowing, such as short or rapid blowing. During the blowing process, the visual monitoring module continuously monitors the user's posture, and the main control board 101 calls the infrared image stream mode of the visual monitoring module to delineate the annular area of ​​interest where the mouthpiece 108 contacts the lips, calculating the texture characteristics of this area. If the infrared speckle pattern of the local image undergoes dynamic distortion and the texture difference value increases sharply, and more than 5% of the pixels in the image of that area show a sustained high difference value, it indicates that there is a gas leak. The user's mouth and the mouthpiece 108 are not properly sealed, resulting in a gas leak and distorted detection results. The display screen 4 prompts the user to adjust the position of the mouthpiece 108 and remeasure. Conversely, if the texture of the area is stable, it indicates that there is no gas leak and it is determined that there is no leak. When all conditions are met, the main control board 101 outputs the test results through the display screen 4.

[0034] In this embodiment, the visual monitoring module includes an RGBD camera module 201. The core of the RGBD camera module 201 can be an existing Intel RealSense D435 RGB-D camera. The RGBD camera module 201 is used to acquire depth and infrared images of the user during use. The main control board 101 uses the depth and infrared images acquired by the RGBD camera module 201 to identify key points of the user's skeleton and mouth seal, in order to determine whether the test posture and mouth seal are qualified. Accurate depth and infrared image acquisition can be achieved through the RGBD camera module 201, with high integration, eliminating the need for multiple cameras.

[0035] In this embodiment, the main control board 101 is configured to: when the user's posture does not meet the preset standard based on the image data acquired by the RGBD camera module 201, control the display screen 4 to output a first prompt message; when air leakage is detected at the mouth, control the display screen 4 to output a second prompt message; when the main control board 101 determines that the test state and the mouth seal state are both valid, record the tested airflow data as valid data, and control the display screen 4 to output the airflow velocity curve and lung capacity result. When the user's posture is found to be non-standard, the main control board 101 generates a first prompt message, and the display screen 4 will use augmented reality (AR) to overlay a green standard posture outline and a red user deviation prompt arrow on the user's real-time screen to assist the user in correcting their posture; during the blowing process, when air leakage is detected, the main control board 101 generates a second prompt message, and the air leakage area will be highlighted with a red circle on the display screen 4 to remind the user to adjust the position of the mouthpiece 108; when the posture and seal are qualified, the display screen 4 will display the blowing rate fluctuation curve and the air volume progress bar during the blowing process, so that the user can receive their own blowing status in real time and improve interactivity.

[0036] In this embodiment, the airflow detection module includes a differential pressure sensor module 104 and an environmental sensor module 105 mounted on the fixed pipe 103. The differential pressure sensor module 104 can be a Sensirion SDP810-125Pa differential pressure sensor from the prior art, which performs high-precision detection of flow velocity and flow rate. The differential pressure sensor module 104 is used to collect airflow velocity and flow rate data. The environmental sensor module 105 can be a Sensirion SHT40-AD1B digital temperature and humidity sensor and a BMP388 air pressure sensor from the prior art, which have fast response, small size, and are easy to integrate. The environmental sensor module 105 is used to collect ambient temperature, humidity, and pressure data, and to perform real-time compensation for air density. After the environmental sensor module 105 collects the air pressure from the temperature and humidity meter, the main control board 101 can calculate the current gas density using the ideal gas law, thereby performing real-time density compensation, automatically correcting the test results, and improving accuracy.

[0037] In this embodiment, the identification unit 2 is equipped with a light sensor module 202 and a fill light 203. Both the light sensor module 202 and the fill light 203 are electrically connected to the main control board 101. The light sensor module 202 is used to collect ambient light intensity data. The main control board 101 is configured to control the brightness of the fill light 203 and the display screen 4 based on the light intensity data collected by the light sensor module 202. The light sensor module 202 uses the existing AMS TSL2591 high-sensitivity light sensor module to detect the ambient light intensity. After processing by the main control board 101, the brightness of the fill light 203 and the display screen 4 is automatically adjusted. The light intensity is beneficial for the visual monitoring module to collect image data and for the user to view the content of the display screen 4, avoiding the screen being too dark or too bright, which would affect the user's viewing experience.

[0038] In this embodiment, a communication module 102 is provided on the main control board 101, which is used for wireless data transmission. The communication module 102 can be an ESP32 series integrated module from the prior art, which can connect to smart devices such as mobile phones via Bluetooth, making it convenient for users to obtain personal data.

[0039] In this embodiment, the main unit 1 is provided with a placement slot 5 for storing the air tube 107 and the mouthpiece 108. A slot cover 501 is provided at the opening of the placement slot 5. The air tube 107 and the mouthpiece 108 can be sealed and stored by the placement slot 5 and the slot cover 501, which is not only convenient to carry, but also avoids contamination.

[0040] In this embodiment, two sets of telescopic rods 3 are arranged opposite each other on the main unit 1. The top ends of the telescopic rods 3 are connected to the recognition unit 2, and several suction cups 502 are provided on the bottom surface of the main unit 1. The telescopic rods 3 are equipped with locking components (such as bolt locking, threaded sleeve locking, etc.). By adjusting the length of the telescopic rods 3, the position of the recognition unit 2 can be changed, so that the device can adapt to users of different heights. At the same time, when retracted, the size of the device can also be reduced, making it convenient to carry and store. The suction cups 502 can securely fix the device to the table surface to prevent it from tipping over.

[0041] The above descriptions are merely embodiments of the present invention, and common knowledge regarding specific technical solutions or characteristics is not elaborated upon here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the technical solutions of the present invention, and these should also be considered within the scope of protection of the present invention. These modifications and improvements will not affect the effectiveness of the implementation of the present invention or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent lung capacity testing device, characterized in that: It includes a host (1) and an identification unit (2). The identification unit (2) is equipped with a visual monitoring module, which is used to collect visual data including the user's upper body and mouth area. The host (1) is equipped with a main control board (101), a fixed tube (103) and a power module (106). The fixed tube (103) is connected to the blowing tube (107). The blowing tube (107) is equipped with a mouthpiece (108) at its end. The fixed tube (103) is equipped with an airflow detection module. The airflow detection module is used to collect the airflow signal generated by the user's blowing and convert it into vital capacity data. Both the visual monitoring module and the airflow detection module are electrically connected to the main control board (101). The main control board (101) is configured to: receive and process visual data collected by the visual monitoring module and lung capacity data collected by the airflow detection module; analyze the user's test posture and mouth sealing status based on the visual data; determine the validity of the lung capacity data collected by the airflow detection module; and generate prompt information based on the visual data and the lung capacity data. The identification unit (2) is rotatably equipped with a display screen (4), which is electrically connected to the main control board (101) and is used to output the prompt information generated by the main control board (101).

2. The intelligent lung capacity testing device according to claim 1, characterized in that: The visual monitoring module includes an RGBD camera module (201), which is used to collect depth images and infrared images when the user is using the device. The main control board (101) performs user skeleton key point recognition and mouth seal recognition based on the depth images and infrared images acquired by the RGBD camera module (201) to determine whether the test posture and mouth seal are qualified.

3. The intelligent lung capacity testing device according to claim 2, characterized in that: The main control board (101) is configured to: when the user's posture does not meet the preset standard based on the image data obtained by the RGBD camera module (201), control the display screen (4) to output the first prompt information; when the mouth is found to be leaking air, control the display screen (4) to output the second prompt information; when the main control board (101) determines that the test state and the mouth sealing state are both valid, record the test airflow data as valid data, and control the display screen (4) to output the airflow velocity curve and vital capacity result.

4. The intelligent lung capacity testing device according to claim 1, characterized in that: The airflow detection module includes a differential pressure sensor module (104) and an environmental sensor module (105) mounted on the fixed tube (103). The differential pressure sensor module (104) is used to collect airflow velocity and flow rate data; the environmental sensor module (105) is used to collect ambient temperature, humidity and pressure data and to compensate for air density in real time.

5. The intelligent lung capacity testing device according to claim 1, characterized in that: The identification unit (2) is provided with a light sensor module (202) and a fill light (203). The light sensor module (202) and the fill light (203) are both electrically connected to the main control board (101). The light sensor module (202) is used to collect ambient light intensity data. The main control board (101) is configured to control the brightness of the fill light (203) and the display screen (4) based on the light intensity data collected by the light sensor module (202).

6. The intelligent lung capacity testing device according to claim 1, characterized in that: The main control board (101) is provided with a communication module (102), which is used for wireless data transmission.

7. The intelligent lung capacity testing device according to claim 1, characterized in that: The host (1) is provided with a placement slot (5), which is used to store the air pipe (107) and the mouthpiece (108). The opening of the placement slot (5) is provided with a slot cover (501).

8. The intelligent spirometry testing device according to claim 1, characterized in that: Two sets of telescopic rods (3) are arranged opposite each other on the host (1). The top of the telescopic rods (3) is connected to the identification part (2). Several suction cups (502) are arranged on the bottom surface of the host (1).

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