33 results about "Lung lobe" patented technology

The invention provides a pneumonia medical data analysis and processing method, system and device and a storage medium, and belongs to the field of medical image processing. Multi-scale features of the lung CT image are extracted layer by layer through convolution, global pooling operation down-sampling is carried out based on the multi-scale features, and saliency features of lung lobe and lesion areas are captured from local details to global semantics; performing convolution and multi-scale pooling on the saliency features to generate a feature map fusing global and local information; and recovering the feature map through layer-by-layer up-sampling to obtain a segmentation result of the lung lobe and the focus. Quantitative indicators are calculated based on regions and pixels of the segmentation results of the lung lobes and lesions. And performing model processing based on the quantitative index, the segmentation result of the lung lobe and the focus and clinical data of the lung lobe and the patient to obtain pneumonia focus characteristic data. And a doctor can conveniently make an objective and reasonable treatment scheme according to a result of lesion segmentation and feature data calculation based on the pneumonia lesion feature data.

The application discloses a novel lung lobe-shaped magnetic shielding partial discharge detection device and a detection method. The device comprises an isolation transformer, a bushing, a detection electrode and a partial discharge instrument. A single-phase power supply is connected with a reactor in parallel, and then connected with an input end of the isolation transformer. One end of an output end of the isolation transformer is connected with the bushing, and then connected with the detection electrode. The other end of the output end of the isolation transformer is grounded. A grounding end of a to-be-detected lung lobe-shaped magnetic shielding is grounded, and the grounding end of the to-be-detected lung lobe-shaped magnetic shielding is connected with the partial discharge instrument. The to-be-detected lung lobe-shaped magnetic shielding and the detection electrode are correspondingly arranged to form an equivalent capacitor and are coupled and connected. The application can be used to determine whether there is a defect in the lung lobe-shaped magnetic shielding by performing a partial discharge test on the lung lobe-shaped magnetic shielding before the lung lobe-shaped magnetic shielding is assembled into a transformer. The application has the characteristics of high test efficiency and low applied voltage, and greatly improves the first-time pass rate of the transformer product provided with the lung lobe-shaped magnetic shielding.

The application discloses a lung ventilation-perfusion imaging area image segmentation and quantitative analysis system and relates to the technical field of medical image analysis.The system comprises a data acquisition module, which acquires SPECT V / Q image data and case information corresponding to the SPECT V / Q image data, and generates a structured data set; a feature extraction module, which performs format conversion and multi-scale feature extraction on the SPECT V / Q image data in the structured data set, and generates a compressed feature map data set; a lung lobe segmentation module, which inputs the compressed feature map data set into a U-Net model, segments lung lobe areas, performs post-processing, and generates a lung lobe area mask image; and an image fusion module, which performs alpha blending fusion on the lung lobe area mask image and the SPECT V / Q image data, and generates a color fusion image.The application captures lung alveolus-to-lung lobe structure by fusing four branch features of a hollow pyramid network, and reduces GPU memory consumption.

The application discloses a percutaneous lung puncture path planning method and device based on lung segment level blood vessel structure constraint, and the method comprises the following steps: performing isotropic resampling, lung lobe segmentation and bronchial tree extraction on CT image data to generate a three-dimensional lung dissection model; inputting the three-dimensional lung dissection model into a lung segment semantic segmentation module to output a lung segment boundary; reconstructing the topological connection relationship between lung segment level blood supply arteries and drainage veins from the lung segment boundary to obtain a structured lung segment level blood vessel atlas; constructing a dynamic puncture risk field voxel map according to the structured lung segment level blood vessel atlas; sampling a plurality of candidate needle entry points in a surface feasible needle entry region to generate an initial path set in the three-dimensional lung dissection model; and weighting the path length, cumulative risk value, puncture angle penalty and high-density lung tissue volume according to a multi-objective optimization function to output a final puncture path. The application significantly improves the safety boundary and clinical applicability of percutaneous lung puncture.

The application discloses a controllable tip bronchial cannula, which comprises a tracheal catheter, a first inflatable cuff and a second inflatable cuff which are arranged on the outer wall of the tracheal catheter at intervals, wherein at least one ventilation hole is arranged on the tracheal catheter between the first inflatable cuff and the second inflatable cuff, the ventilation hole penetrates the tracheal catheter wall and communicates with the lumen of the tracheal catheter; an elastic film is arranged in the lumen of the tracheal catheter, the elastic film is provided with at least one third opening which communicates with the lumen of the tracheal catheter, and the third opening is arranged in a staggered mode with the ventilation hole; and a control component is further arranged, which is used for controlling the elastic film to switch between closing the ventilation hole and opening the ventilation hole. The bronchial cannula of the application makes the airway management of lung isolation more refined, breaks through the traditional left / right lung isolation, and realizes the precise physical isolation of the operation area and the non-operation area in units of lung lobes.

The invention discloses a pulmonary nodule real-time positioning method and a pulmonary nodule real-time positioning device based on artificial intelligence multi-modal image fusion technology applied to a sub-pulmonary lobe resection operation, which are applied to the technical field of data processing, a three-dimensional collapsed lung model is generated by acquiring a lung medical image and a three-dimensional model in combination with operation parameters, and features of the three-dimensional collapsed lung model are automatically identified. Endoscope dynamic images are collected in real time in an operation, and the three-dimensional collapse lung model is finely adjusted after image features are extracted, so that the three-dimensional collapse lung model is accurately matched with an actual lung tissue form in the operation. By means of the artificial intelligence multi-mode image fusion technology, the endoscope image and the three-dimensional model are deeply fused, and the lung three-dimensional structure and the accurate pulmonary nodule position under the endoscope view field are presented in real time. By integrating artificial intelligence, computer vision, a collapse algorithm and a multi-modal image fusion technology, a doctor is assisted to clearly identify lung tissue and nodule positions in an operation, the accuracy of the operation is effectively improved, the operation time is shortened, and the operation is safely completed with high quality.

The present application relates to the technical field of medical data processing, in particular to a kind of lung nodule preoperative virtual positioning system assisted by augmented reality glasses, including memory and processor, the processor executes the computer program stored in the memory, to realize: the construction of lung lobe tubular structure lung lobe tubular structure chart;According to the distance distribution between nodes and blood vessel attribute information, the basic attribute parameter of each edge is obtained, the current surface gripping point and lesion center point are acquired;Obtain transverse attenuation factor and axial projection factor, determine the deformation resistance weight of each edge in combination with basic attribute parameter;According to the deformation resistance weight of the edge accumulated between the nodes corresponding to the current surface gripping point and lesion center point, the deep displacement transmission degree is obtained;According to deep displacement transmission degree and the pulling direction of surgical instrument, the lesion center point position is corrected to obtain the corrected lesion position.The present application ensures that the virtual nodule rendered in AR glasses is accurately matched with the position of deep real lesion.

The utility model relates to a medical auxiliary instrument. The utility model aims to provide a 3D printing type lung model for doctor-patient communication. The 3D printing type lung model comprises a lung model main body formed through 3D printing according to lung data of a patient; the lung model main body comprises a hollow lung lobe body formed by splicing two mold flaps, a trachea body formed on the lung lobe body in a heterochromatic 3D printing manner, and a focus body formed on the lung lobe body and / or the trachea body in a heterochromatic 3D printing manner; the lung lobe body is further provided with at least one hollow observation opening used for observing a focus body. According to the utility model, actual lung data 3D printing forming of a patient is adopted, the lung focus space structure of the patient can be fully and visually displayed, and accurate communication between a doctor and the patient is facilitated; 3D printing is conducted on the lung lobe body, the trachea body and the focus body through different colors, and the whole lung and the structure of the lung of the patient can be displayed in a layered mode more clearly.

The invention relates to the technical field of medical instruments, and discloses a household inflatable high-frequency chest wall oscillation sputum excretion vest which comprises an air pulse main machine and a vest body, an adjusting assembly is arranged between the air pulse main machine and the vest body, and a locking buckle belt is fixedly installed on one side of the front face of the vest body. The adjusting assembly comprises an outer annular cylinder and an inner annular cylinder which are fixedly installed on one side of the air pulse main machine, the inner annular cylinder is located on the inner ring of the outer annular cylinder, by arranging the adjusting assembly, inflated air can sequentially enter all the inflation grooves through the inflation cavity, exhausted air can return to the inner communication groove through the deflation groove and the deflation cavity, and the air pulse main machine can be adjusted. According to the device, the air bag parts are inflated and deflated in sequence, so that the air bags are locally inflated and vibrated in sequence according to the trend of the bronchus lung section of an operator and the lobe of the lung, and the vibration sputum excretion effect on the operator is improved.

1. The name of the design product: lung lobe magnetic shielding flip auxiliary tool. 2. The use of the design product: used for the assembly of transformer parts. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: combined state reference drawing. 5. Other components that need to be explained: component 1: tray part; component 2: cover plate part; combined state reference drawing: combined state of the tray part and the cover plate part.

The invention belongs to the technical field of medical rehabilitation instruments, and particularly relates to an intelligent control method and system based on a full-chest vibration sputum excretion machine, and the control method comprises the steps: obtaining a respiratory airflow signal and chest wall impedance of a patient; the current breathing phase of the patient is judged according to the continuous breathing airflow signals, and a vibration head of a corresponding lung lobe area is controlled to be activated to vibrate within a set frequency range; calculating a sputum fluidity index according to the chest wall impedance of different chest wall areas, wherein the sputum fluidity index is in positive correlation with the variable quantity and the vibration frequency of the chest wall impedance; the vibration parameters of the vibration head at the corresponding position are adjusted according to the size of the sputum fluidity index. According to the scheme, the targeting, efficiency and safety of sputum excretion are remarkably improved, and personalized and refined intelligent sputum excretion treatment is achieved.

The invention relates to the technical field of lung function evaluation, in particular to an atomization image analysis method for lung ventilation function evaluation. The method comprises the following steps: firstly, acquiring lung atomization images under various concentrations by changing the concentration of aerosol; based on image block level analysis, the lung is divided into different functional regions (such as lung lobe and airway regions), particle distribution difference characteristics of different image blocks are compared to quantify deposition indexes, and regional ventilation uniformity is reflected; sub-regions are further divided in combination with density clustering, the number change of atomized particles is analyzed across time points, and a metabolic rate index is calculated to represent local metabolic activity; and finally fusing the deposition index and the metabolic rate index to generate a ventilation obstruction evaluation value. According to the method, through space-time sequence multi-parameter coupling, the breathing mode and individual difference interference are effectively reduced, the ventilation function and the metabolism state are synchronously analyzed, a quantitative basis is provided for pulmonary ventilation disorder analysis, and evaluation comprehensiveness and clinical decision accuracy are remarkably improved.

This invention discloses a method for constructing a lung weight index based on chest CT images and its application. The method includes: Step 1, low-dose CT image acquisition and preprocessing; Step 2, automatic segmentation of the lung and lung lobes; Step 3, calculation of the average density of lung lobes and conversion to physical density; Step 4, calculation of lung lobe volume; Step 5, calculation of lung lobe weight and whole lung weight; Step 6, construction of the lung weight index; Step 7, risk assessment based on the lung weight index. This method can be applied to practical scenarios such as lung cancer screening, health checkups, and image-assisted diagnosis. This invention comprehensively reflects the state of lung tissue, blood vessels, and interstitium through the lung weight index, providing a more holistic quantitative description. Furthermore, it does not require nodule detection as a necessary prerequisite, making it suitable for individuals with few nodules, small volume, or those who have not yet formed a definite mass, thus better meeting the practical needs of early lung cancer screening.

The application discloses a magnetic navigation tracheal intubation system based on a visual laryngeal mask, relates to the technical field of tracheal intubation, and comprises a pipe body, wherein a framework is embedded in the pipe body, an alarm is fixedly installed on the pipe body, the framework transmits a signal to the alarm to remind a worker when the pipe body is bent, a cuff is installed on the pipe body, the cuff is connected with a strip-shaped box through a connecting hose, an inflation assembly is installed in the strip-shaped box, a pipeline is arranged in the pipe body, a through hole is formed in the pipe body, a ventilation pipe is slidably connected in the pipeline, the ventilation pipe is used for ventilating another lung lobe, a Murphy hole is formed in the end of the pipe body, and the Murphy hole and the through hole are located below the cuff. The application detects the bending deformation of the pipe body through the built-in framework, triggers an alarm in real time, is convenient for medical staff to make timely adjustment, guarantees that the gas can be normally exchanged after being smoothly inserted into the trachea, and improves the operation safety; and the sliding connection of the pipeline and the ventilation pipe supports selective ventilation of unilateral or bilateral lung lobes, and adapts to the complex airway management requirement.

The present application relates to the field of medical imaging technology, specifically to a COPD early warning method and system based on chest CT parameters, comprising the following steps: based on chest CT image data, extracting pixel data of lung lobe anatomical region, segmenting airway tree structure, identifying bronchial wall boundary, screening gradient change points, and generating airway wall boundary point set. In the present application, by refining the lung lobe anatomical region, segmenting the airway tree structure, accurately positioning the bronchial wall boundary, calculating the airway wall thickness, correcting abnormal fluctuations, improving the stability of the thickness parameter, using the thickness parameter to calculate the airflow passage cross-sectional area, analyzing the lung lobe ventilation volume and ventilation change, quantifying the lung ventilation imbalance degree, screening the ventilation restricted area, analyzing the relationship between the wall thickness and the ventilation change rate, extracting the abnormal growth area, marking the ventilation restriction severity, setting the early warning threshold, calculating the abnormal index mean value, marking the risk area, enhancing the ventilation abnormality recognition hierarchy, and improving the early warning ability of COPD.

The invention discloses a real-time image enhancement and fusion system in thoracic surgery, and belongs to the technical field of medical image processing. The system comprises an image acquisition module, a real-time enhancement unit, a multi-modal fusion unit, a data interaction unit, a display control unit and a storage unit. The image acquisition module is used for acquiring intraoperative endoscope and ultrasonic images and preoperative CT / MRI data; the real-time enhancement unit adopts an attention mechanism improved U-Net model to realize image real-time denoising and enhancement; the multi-modal fusion unit realizes accurate fusion through a dynamic registration algorithm (in combination with respiratory movement data); the data interaction unit guarantees low-delay transmission; the display unit supports three-dimensional image interactive display; the storage unit stores data in real time. The problems of low image definition, inaccurate fusion and poor real-time performance in the existing operation are solved, the key anatomical structure recognition precision can be improved by 30% or above, the operation time is shortened by 10%-15%, the complication occurrence rate is reduced by 50% or above, and the method is suitable for thoracic surgery operations such as lung lobe resection and esophageal cancer radical treatment and has remarkable clinical value.

This invention discloses a collision detection method and system based on hybrid bounding boxes and lung anatomical features. The method includes: constructing bounding boxes for the lung, lung lobes, and lung segments based on a three-dimensional finite element model of the lung; determining intersecting lung segment bounding boxes using a breadth-first traversal algorithm; determining intersecting lung lobule bounding boxes using a depth-first traversal algorithm; and accurately detecting the collision position of a surgical instrument proxy ball using fine intersection detection to obtain the collision detection result. The depth-first traversal order is calculated based on the predicted positions of the lung segment bounding boxes and the surgical instrument proxy ball. This invention avoids the problems of computational redundancy and poor real-time performance in collision detection.

The utility model belongs to the technical field of medical equipment, and particularly relates to a lung model assembly and a human body model, which comprise a main bronchus, a lung lobe bronchus, a left lung sac and a right lung sac, the left lung sac and the right lung sac are respectively positioned on two sides of the main bronchus, and the main bronchus is connected with the lung lobe bronchus. The lung lobe bronchus comprises a left side lung lobe bronchus and a right side lung lobe bronchus, the left side lung lobe bronchus comprises a first connecting part and a first tip part, the first tip part extends into the left lung sac, the part, extending into the left lung sac, of the first tip part is provided with a plurality of left side breathing tips, and the diameters of the left side breathing tips are different; the right lobe bronchus comprises a second connecting part and a second tip part, the second tip part extends into the right pulmonary sac, the part, extending into the right pulmonary sac, of the second tip part is provided with a plurality of right breathing tips, and the diameters of the right breathing tips are different. According to the lung model assembly provided by the embodiment of the utility model, the simulation degree of the lung model assembly is improved.

Disclosed embodiments include apparatuses, systems, and methods for assessing collateral ventilation. An illustrative embodiment includes an occlusion device insertable into a bronchial passageway to selectively seal the bronchial passageway to occlude a lobe of a lung. A flow lumen sealably extends through the occlusion device to a distal end and has a proximal end receptive of a positive pressure flow. A check valve is coupleable with the flow lumen to permit the positive pressure flow to pass to the distal end of the flow lumen and prevent a backflow of pressure from the flow lumen. A flow meter is couplable with the flow lumen to measure the positive pressure flow through the flow lumen. The occlusion device is insertable into the passageway to the isolated lobe. Measurements of the flow meter of the positive pressure flow into the occluded lobe are monitorable to assess collateral ventilation from the occluded lobe.

The invention discloses a system and method for diagnosing pulmonary tuberculosis-pulmonary arterial hypertension through artificial intelligence chest CT imaging, and the system comprises a data acquisition module which is used for collecting a chest CT image of a patient in the supine position full inspiration period, and exporting the CT image in a DICOM format; the data processing module is used for carrying out full-lung automatic segmentation and lung lobe segmentation VTDLT calculation by using an AI algorithm through AI image analysis software; the quantitative analysis module is used for outputting the damage volume and the number and distribution of the affected lung lobes; the risk prediction module is used for combining the VTDLT with clinical parameters to construct a PH risk prediction model; according to the application, the pulmonary arterial hypertension is screened by combining CT imaging with an artificial intelligence algorithm, an original mode of screening through right heart catheter examination is not changed, a noninvasive, early-stage and accurate PH screening tool is provided for TDL patients, the use requirements of RHC are reduced, and the pain and medical burden of the patients are relieved.

The embodiment of the invention provides a manufacturing method of a human trunk simulation model and the human trunk simulation model. The manufacturing method comprises the following steps: establishing a human trunk digital model according to geometric data of a reference person; respectively manufacturing lung lobe, rib and chest soft tissue according to the human trunk model; filling the lung lobe with a radioactive source; and combining and assembling the lung lobes, the ribs and the chest soft tissues to form the human trunk simulation model. According to the manufacturing method of the human body trunk simulation model, the simulation accuracy of the human body trunk simulation model can be improved.

The application discloses a kind of lung cancer postoperative complication nursing risk integrated machine learning prediction method, specifically related to medical care and health risk prediction field, for solving the problem of lack of effective comprehensive modeling for the risk assessment of existing lung cancer postoperative nursing on complication.The method is by synchronously collecting thoracic drainage pressure waveform and ventilator tidal volume waveform in postoperative nursing cycle, dynamic mutual information change trajectory under multiple time scales is constructed to determine that air leakage activity enters stable platform period;In platform period, trigger controlled negative pressure step excitation test, extract key features reflecting system stability and gas leakage dynamic characteristics;Combined with feature intersection, nursing stage time clipping and the anatomical influence weight of lobectomy position, the risk characteristics are modulated, and input into pre-trained neural network, to realize the dynamic prediction of postoperative complication risk, and provide technical support for fine nursing decision.

The application belongs to the technical field of medical appliances, and is especially a tracheal catheter capable of moving forward and backward, comprising a pipe body, three side openings are arranged around the bottom end of the pipe body, three flaps are arranged around the inside of the bottom end of the pipe body, limiting strips are arranged on both sides of the flaps, a pull line is fixedly connected to the middle position of the upper end of the flaps, an inner air bag is fixedly connected to the outer wall around the bottom end of the pipe body, a plurality of upper connecting strips are fixedly connected to the outer wall around the upper end of the inner air bag, a plurality of lower connecting strips are fixedly connected to the outer wall around the bottom end of the inner air bag, and an outer air bag is arranged around the outside of the inner air bag, the application is provided with three side openings capable of being pulled and controlled to open and close at the front end of the pipe body, and the inner and outer air bags are arranged outside the pipe body, and the pipe body and the inner air bag can move forward and backward relative to the outer air bag, so that the side openings at the front end of the pipe body can be better aligned with the breathing port of the upper lung lobe, and the oxygen supply of the lung lobe is facilitated.

The application discloses a collateral ventilation assessment system and method thereof, the system comprising an inflatable occlusion device, a flow lumen, a connecting tube and an inspection instrument; the inflatable balloon of the application is inflated to expand and occlude the bronchial passage of the lung lobe to be tested, the inspection instrument provides positive pressure gas to enter the occluded lung lobe through the flow lumen, and the distal end of the flow lumen also provides an exhaust passage for the gas from the occluded lung lobe downstream of the occluded bronchial passage, which is exhausted into the expiration channel of the inspection instrument; the inspection instrument determines whether the tested lung lobe has collateral ventilation according to the monitored condition of the gas from the occluded lung lobe downstream of the occluded bronchial passage; and the bronchial passage with collateral ventilation can be excluded to avoid ineffective treatment.

The lung blocking device for the thoracic surgery comprises a barrel, a handle assembly and a connecting rod assembly, the handle assembly is installed at the first end of the barrel, the connecting rod assembly is of a foldable structure, and the connecting rod assembly is arranged at the second end of the barrel and matched with the handle assembly; when lung blocking is carried out, the second end of the barrel is suitable for going deep into the body of a patient through the handle assembly, and the handle assembly is suitable for driving the connecting rod assembly to be unfolded. The device has the beneficial effects that through the foldable connecting rod assembly, the barrel body and the handle assembly, especially when the device enters a miniature wound, the folded connecting rod assembly can be more smoothly inserted into the miniature wound, then the connecting rod is unfolded through the handle assembly, and therefore opened lung lobes are effectively blocked, lung tissue is protected, the operation view is clearly exposed, and the operation efficiency is improved. And the operation of doctors is facilitated.

The invention relates to the technical field of nuclear medicine imaging, in particular to a pulmonary ventilation function measuring method and device and a medium, and the method comprises the following steps: after a patient inhales technetium gas, acquiring a CT structure image of an inspiration end breath-holding state of the patient and SPECT images of each time phase of a respiratory cycle; a space standardization SPECT image is obtained; carrying out registration on the space standardization SPECT image according to a CT structure image; based on an anatomical marker on the CT structure image, extracting radioactivity counts in a region of interest from the registered SPECT image to obtain a time-varying curve of the radioactivity counts frame by frame on three levels of lung lobe, lung segment and voxel; on the basis of the curve, the peak filling rate of radioactivity counting, the peak reaching time and the average value of the standard uptake values of the radioactive tracers in the double lung tissues in the stable stage are obtained, and the part, range and degree of abnormal pulmonary ventilation are marked on a 3D rendering graph of the double lungs of the patient, so that the pulmonary ventilation function of the patient is objectively and reliably evaluated.

The invention discloses an integrated machine learning prediction method for lung cancer postoperative complication nursing risks, particularly relates to the field of medical nursing and health risk prediction, and is used for solving the problem that existing lung cancer postoperative nursing lacks effective comprehensive modeling for complication risk assessment. According to the method, a chest drainage pressure waveform and a breathing machine tidal volume waveform are synchronously collected in a postoperative care period, and a dynamic mutual information change track under multiple time scales is constructed to judge that an air leakage activity enters a stable plateau stage; triggering a controlled negative pressure step excitation test in a plateau period, and extracting key characteristics reflecting system stability and gas leakage dynamic characteristics; according to the method, feature crossing, nursing stage time cutting and the anatomy influence weight of the lung lobe resection position are combined, risk features are modulated, a pre-trained neural network is input, the postoperative complication risk is dynamically predicted, and technical support is provided for refined nursing decision making.

Disclosed embodiments include apparatuses, systems, and methods for assessing collateral ventilation. An illustrative embodiment includes an occlusion device insertable into a bronchial passageway to selectively seal the bronchial passageway to occlude a lobe of a lung. A flow lumen sealably extends through the occlusion device to a distal end and has a proximal end receptive of a positive pressure flow. A check valve is coupleable with the flow lumen to permit the positive pressure flow to pass to the distal end of the flow lumen and prevent a backflow of pressure from the flow lumen. A flow meter is couplable with the flow lumen to measure the positive pressure flow through the flow lumen. The occlusion device is insertable into the passageway to the isolated lobe. Measurements of the flow meter of the positive pressure flow into the occluded lobe are monitorable to assess collateral ventilation from the occluded lobe.

The invention discloses a self-adaptive vibration adjusting sputum excretion machine, and relates to the technical field of medical instruments, the self-adaptive vibration adjusting sputum excretion machine comprises a seat, the side wall of the seat is rotatably connected with a backrest, the backrest is provided with a vibration assembly, the side wall of the seat is fixedly connected with symmetrically arranged supports, and the self-adaptive vibration adjusting sputum excretion machine further comprises a belt; the belt is wound on the backrest, the vibration assembly is arranged on the belt, and the belt is used for adjusting the position of the vibration assembly; the driving assembly is arranged in the backrest and is used for driving the belt to move; the backup plate is connected to the backrest in a sliding mode, and the backup plate is matched with the vibration assembly; the sputum excretion machine has the advantages that the distance between the two vibration heads can be quickly adjusted according to the age of a patient, for example, the distance for children is reduced to focus on the upper lung lobe, the distance for adults is expanded to cover the whole lung lobe, the sputum excretion machine can adapt to children and adult patients without replacing equipment, the use efficiency of the sputum excretion machine is improved, and the medical cost is reduced.

The present application relates to the technical field of lung function evaluation, in particular to a kind of aerosol image analysis method for lung ventilation function evaluation.First, by changing the concentration of aerosol, obtain lung aerosol image under each concentration;Based on image block level analysis, lung is divided into different functional areas (such as lung lobe, airway partition), and in comparing the particle distribution difference characteristics of different image blocks, quantification deposition index is reflected regional ventilation uniformity;Further combined with density clustering, sub-region is divided, the number change of aerosol particles is analyzed across time points, and metabolic rate index is calculated to represent local metabolic activity;Finally, deposition index and metabolic rate index are fused, and ventilation obstruction evaluation value is generated.This method couples spatial-temporal multi-parameter, effectively reduces the interference of breathing pattern and individual difference, synchronously analyzes ventilation function and metabolic state, provides quantitative basis for lung ventilation disorder analysis, and significantly improves the overall evaluation and clinical decision-making accuracy.