43 results about "Lung volumes" patented technology

The invention provides a method and system for determining the volume of the end-expiratory lung and a breathing machine, and relates to the technical field of breathing detection.The method comprises the steps that the volume-impedance relation of the lung of a target object is obtained; and determining the end-expiratory lung volume of the target object based on the absolute impedance of the lung of the target object at the end-expiratory moment and the volume-impedance relationship. According to the method and system for determining the end-expiratory lung volume and the breathing machine, the end-expiratory lung volume can be determined, lung function evaluation, mechanical ventilation strategy guidance, prognosis improvement and the like are facilitated, and the practicability is high. And meanwhile, the device also has the advantages of no radiation, no invasion, low cost, convenience in operation, less time consumption, no requirement on special working environment, low matching requirement on patients, bedside operation, suitability for critical patients and the like.

The application provides a radiotherapy breathing control threshold adaptive adjustment method based on image feedback, which comprises the following steps: before any fraction treatment, guiding a patient to perform deep inhalation breath holding, and acquiring chest three-dimensional image data of the patient through an image acquisition device; determining whether a breathing control threshold optimization condition is met based on the chest three-dimensional image data; when the breathing control threshold optimization condition is met, optimizing the breathing control threshold, and determining a new breathing control threshold for triggering radiotherapy beam output. The application uses the real lung volume calculated by three-dimensional image as a feedback variable to adaptively correct the control threshold based on inhaled gas volume in the traditional ABC system, so as to establish a closed-loop breathing control mechanism based on internal anatomical state.

The invention provides an intelligent evaluation system for lung collapse under a thoracoscope, and the system comprises a data collection unit which is used for collecting a lung image through a thoracoscope probe; the double-task lung collapse evaluation unit is used for respectively carrying out lung space and lung color feature extraction and region segmentation on the lung image based on a lung volume attention mechanism and a lung color attention mechanism; obtaining a lung volume task evaluation result and a lung color task evaluation result based on a feature extraction result and a region segmentation result; and the double-task fusion unit is used for fusing the lung volume task evaluation result and the lung color task evaluation result to obtain a final lung collapse evaluation result. The problems that in the prior art, lung collapse evaluation mainly depends on subjective experience judgment of an intraoperative doctor, artificial intelligence assistance is lacked, the scoring result difference is large, and misjudgment is likely to be caused are solved.

An endobronchial valve designed for placement in an airway to modify lung volume to a portion of the lung. The valve comprises a frame with a collapsible and expandable configuration, and a valve member made of a flexible material attached to the frame. The valve member includes a distal valve member with a conical shape and nested within a proximal valve member with a frusto-conical shape. The distal valve member features a cavity communicating with an opening at the base, while the proximal valve member has openings of varying diameters. The base of the distal valve member is positioned through the opening of the proximal valve member, allowing for effective modification of lung volume. The valve systems further include a swellable material for changing a fluid flow rate over time to gradually modify lung volume and mitigate complications such as pneumothorax.

Active auscultation can be used to determine the characteristics of a user's organs (e.g., lungs or heart). An acoustic or piezoelectric signal (e.g., pulses, tones, and / or broadband pulses) can be projected onto the body or chest of an animal (typically a human). The signal interacts with the body or lungs and, in some cases, may cause resonance within the body / lungs. The resulting signal can be emitted from the body and analyzed to determine, for example, the resonant frequency of the lungs and / or how the sound is absorbed, reflected, or modified by the body. This information can indicate lung characteristics such as lung capacity, the amount of air trapped in the lungs, and / or the presence of COPD.

The invention relates to an adaptive breathing phase estimation method, which comprises the following steps of: firstly, acquiring data through a breathing flow sensor, preprocessing a breathing signal by adopting a Kalman filter, removing noise interference in the breathing signal, and ensuring that the acquired breathing data is accurate and reliable; further, the extreme value of the lung volume curve is calculated, then potential phase conversion points are recognized, and division of breathing phases is achieved; then, through a real-time anomaly detection mechanism, non-rhythm respiration data is quickly rejected, and only rhythm respiration data is reserved for estimating a respiration phase. According to the algorithm, the safety of the breathing assisting system in the breathing training process can be ensured, and human body confrontation caused by control logic confusion is avoided; and finally, estimating the respiratory rhythm change of the human body based on a prediction algorithm of physiological features, and completing the accurate recognition of the respiratory phase. The method provided by the invention can effectively adapt to human respiratory rhythm changes, and can provide powerful support for real-time control and stable operation of a respiratory assist system.

Systems, devices, and methods for determining a user's lung capacity may employ a sound-producing breathing device and a recording device such as a microphone included in a user electronic device (e.g., smart phone or tablet computer). A user may inhale or exhale through the sound-producing breathing device, thereby producing a sound that is received by the microphone and communicated to a processor. The processor may analyze the received sound recording to determine one or more sound intensity values over, for example, the duration of the received sound and / or points in time within the sound recording. The sound intensity values may then be used to determine the user's lung capacity.

The invention provides an instrument device which is used for lung volume reduction and relates to the technical field of medical instruments, the instrument device comprises a core wire and an elastic implant, and the core wire is movably arranged in the elastic implant in a penetrating mode; the far end of the core wire comprises a far-end rigid section and a far-end flexible section, and the far-end rigid section is farther away from the near end of the core wire than the far-end flexible section; when the core wire moves in the elastic implant body, when the far-end rigid section is subjected to the acting force of the elastic implant body, the far-end flexible section adjusts the position of the far-end rigid section in the elastic implant body through deformation, so that the elastic implant body is formed. The core wire is arranged in the elastic implant, so that the axis of the core wire in the elastic implant is close to the axis of the elastic implant. Through the instrument provided by the invention, the problems that the core wire is difficult to penetrate into the elastic implant and is easy to penetrate out of the cutting groove of the elastic implant are solved.

The invention relates to the technical field of image analysis, in particular to a dynamic image registration method for pulmonary atelectasis focus volume change monitoring. Firstly, a CT image sequence of a respiratory cycle of a patient is collected; determining a breathing gray level change value based on the gray level difference of the pixel points between the images; dividing a local area according to the position of a pixel point and gray scale information; in a respiratory cycle, gas exchange in a pulmonary atelectasis area is limited, expansion capacity during inspiration is limited, a dynamic mode different from a normal lung tissue is formed, a first abnormal factor is determined by analyzing gray level change relation of pixel points in a local area and a global area and combining a respiratory gray level change value, and an abnormal area is screened out; due to pulmonary atelectasis, lung blood vessel displacement and gathering and lung volume reduction are caused, pixel point number difference characteristics are analyzed, and a second abnormal factor is determined by integrating local region blood vessels, a distribution relation and a breathing gray level change value; and finally, acquiring an adaptive enhancement factor based on the two, and performing adaptive sharpening enhancement on the image to improve the subsequent registration precision.

This application relates to a method, apparatus, device, medium, and program product for quantifying CT features of idiopathic pulmonary fibrosis. The method includes: acquiring a medical image of the lung to be processed; segmenting the lung parenchyma in the medical image to obtain bilateral lung regions and total lung volume; segmenting the bilateral lung regions to obtain multiple imaging features related to idiopathic pulmonary fibrosis, and determining the volume percentage corresponding to each of the multiple imaging features related to idiopathic pulmonary fibrosis and the total lung volume; and determining the predicted functional impairment value corresponding to the volume percentage of the multiple imaging features related to idiopathic pulmonary fibrosis based on a pre-generated linear regression model, wherein the linear regression model represents the correlation between the volume percentage of the multiple imaging features related to idiopathic pulmonary fibrosis and various lung function indicators. This method can improve processing efficiency.

The application discloses a spirometer automatic calibrator of a lung function instrument, and belongs to the technical field of lung function determination, which comprises a multi-shaft support, an automatic calibration, a support assembly and a mobile PC platform, the automatic calibration assembly is assembled in the multi-shaft support assembly, the multi-shaft support assembly is assembled in the support assembly, the support assembly can be installed on any plane main body in a working environment, the multi-shaft support assembly can be adjusted in any posture, and the automatic calibration assembly is controlled by the mobile PC platform to perform lung volume calibration work on the lung function instrument; through cooperation of various assemblies, accurate calibration docking and electric control automatic calibration are realized, problems of unstable flow rate and poor precision in traditional manual calibration are solved, calibration efficiency and reliability are improved, and the device has high adaptability and practicability.

The positive expiratory pressure device with flow and oscillation control offers improved control over both airflow and oscillation characteristics. The primary mechanical elements of the device include an oscillation mechanism that creates intermittent airflow occlusion during exhalation. This mechanism is coupled with an adjustment system that allows for precise control over the oscillation frequency. Another significant feature of the invention is an integrated air manifold system. The air manifold provides adjustable control over the airflow through the device. By adjusting the valve within the manifold, a user can modify the overall resistance to exhalation, thereby controlling the amount of back-pressure generated during therapy. This feature allows for a wider range of pressure settings than a static manifold, making a device suitable for use for patients with varying lung capacities and conditions.

A method includes, during a measuring period, generating first sensor data representative of a breathing cycle of a user under a first applied pressure and second sensor data representative of the breathing cycle of the user under a second applied pressure. Based on the first sensor data, the method includes determining a first lung volume of the user during the breathing cycle under the first applied pressure. Based on the second sensor data, the method includes determining a second lung volume of the user during the breathing cycle under the second applied pressure. Based on the determined first lung volume, the first applied pressure, the second determined lung volume and the second applied pressure, the method includes determining a lung compliance (LC) value for the user.

The invention relates to the technical field of medical data processing, and discloses an anatomical structure stability calculation processing method and a system thereof, medical image scanning is carried out on a user in a free breathing state and at different breath-holding moments, and based on all scanned medical images, the stability of the anatomical structure is calculated. Respectively calculating volume data of the left lung and the right lung in each scanning; the volume difference index is calculated according to the volume data of the left lung, the volume difference index is calculated according to the volume data of the right lung, and when the volume difference indexes of the left lung and the right lung meet a second preset condition, it is judged that the stability of the anatomical structure of the user reaches the standard. According to the method, stability evaluation is carried out through objective and quantitative lung volume difference indexes, a mode depending on subjective experience of an operator is replaced, and therefore when the DIBH technology is applied, reliable guarantee is provided for accurate and repeatable positioning of the thoracic cavity anatomical structure.

An integrated system and associated methodology allow performing at-home spirometry tests using smart devices which leverage the built-in millimeter-wave (mmWave) technology. Implementations leverage deep learning with some embodiments including a combination of mmWave signal processing and CNN-LSTM (Convolutional Neural Network-Long Short-Term Memory Network) architecture. Smartphone devices are transformed into reliable at-home spirometers by having a user hold a device in front of their mouth, inhale their full lung volume, and forcibly exhale until the entire volume is expelled, as in typical spirometry tests. Airflow on the device surface creates tiny vibrations which directly affect the phase of the reflected mmWave signal from nearby objects. Stronger airflow yields larger vibration and higher phase change. The technology analyzes tiny vibrations created by airflow on the device surface and combines wireless signal processing with deep learning. The resulting low-cost, contactless method of lung function monitoring is not affected by noise and motion and provides all key spirometry indicators.

A compact, hands-free, oral positive expiratory pressure (PEP) device designed to optimize respiratory mechanics by providing controlled resistance during exhalation. The device slows the respiratory rate, prolongs exhalation, generates positive airway pressure, and thereby reduces breathlessness, enhances oxygenation, and expands functional lung capacity. It is particularly beneficial in conditions such as chronic obstructive pulmonary disease (COPD), tracheobronchomalacia, excessive dynamic airway collapse (EDAC), bronchiectasis, atelectasis, and acute respiratory distress syndromes, while also serving broader functions like stress reduction, cardiovascular support, and respiratory muscle training. The device is lightweight, portable, and lanyard-supported, allowing continuous availability for daily use and physical activity. Structurally, it is conical, features a primary airflow chamber, a mouth opening, and one or more resistance orifices that regulate exhalation pressure. By maintaining consistent PEP levels (ranging approximately 4-15 cm H2O), the device helps prevent airway collapse, promotes alveolar recruitment, and improves the ventilation-perfusion ratio.

This application provides a plethysmography chamber and a method for disinfecting the plethysmography chamber. The plethysmography chamber includes a controller, a chamber body, and a detection module. A disinfection device is installed inside the chamber body. The controller is electrically connected to the detection module and the disinfection device. The detection module is configured to perform lung volume detection under the control of the controller. The controller is configured to: acquire the status information of the plethysmography chamber; determine if the status information of the plethysmography chamber meets preset conditions, and control the disinfection device to perform disinfection. Thus, the plethysmography chamber can automatically acquire its status information and automatically disinfect itself when the status information meets preset conditions, addressing the current disinfection requirements for chambers used in clinical pulmonary function testing.

The invention relates to a method (100) for measuring respiratory parameters of a subject using a range imaging sensor, wherein the method comprises: receiving at least one raw image of at least a portion of the subject's torso from the range imaging sensor (110), wherein each point of the raw image represents a distance between the range imaging sensor and the subject; generating a surface image of at least a portion of the subject's torso surface by surface interpolation of the raw image (120); estimating a respiratory signal over time, which is computed as a spatial average of the difference between the depth values of the surface image at a given time and the depth values of a reference surface image in a given region of interest (ROI) defined on the subject's torso (130); and estimating a lung volume (140).

The present application provides a kind of intelligent evaluation system of thoracoscope under lung collapse, the system includes: data acquisition unit, for acquiring lung image by thoracoscope probe;Dual-task lung collapse evaluation unit, for based on lung volume attention mechanism and lung color attention mechanism, lung image is extracted and region segmentation respectively in lung space and lung color feature;And based on feature extraction result and region segmentation result, lung volume task evaluation result and lung color task evaluation result are obtained;Dual-task fusion unit, for fusing lung volume task evaluation result and lung color task evaluation result, obtain the final lung collapse evaluation result.The present application solves the problem that lung collapse evaluation in the prior art mainly relies on subjective experience of doctors during operation, lacks artificial intelligence assistance, resulting in large differences in scoring results, which can easily cause misjudgment.

Methods and systems for targeting, accessing and diagnosing diseased lung compartments are disclosed. The method comprises introducing a diagnostic catheter with an occluding member at its distal end into a lung segment via an assisted ventilation device; inflating the occluding member to isolate the lung segment; and performing a diagnostic procedure with the catheter while the patient is ventilated. The proximal end of the diagnostic catheter is configured to be attached to a console. The method may also comprise introducing the diagnostic catheter into the lung segment; inflating the occluding member to isolate the lung segment; and monitoring blood oxygen saturation. The method may further comprise introducing the diagnostic catheter into the lung segment; determining tidal flow volume in the lung segment; determining total lung capacity of the patient; and determining a flow rank value based on the tidal flow volume of the lung segment and the total lung capacity.

The invention discloses a cigarette smoking behavior bionic device and a smoke sensing and measuring method thereof, and belongs to the technical field of cigarette measurement. A mainstream smoke channel bionic unit of the device comprises a bionic cavity; the bionic cavity channel comprises an oral cavity, a pharyngeal cavity, a trachea and a nasal cavity of a bionic human body; an oral cavity air inlet valve and a cigarette inserting pipe valve are arranged at the mouth position of the oral cavity; a nostril air check valve is arranged at the nostril position of the nasal cavity; a smoke collecting film and a temperature and pressure drop measuring unit are arranged in the bionic cavity; a gravity check valve is arranged at the pharyngeal cavity; the lung bionic unit comprises a lung capacity adjusting ball and a bionic lung; the bionic lung is communicated with the bionic cavity; the lung capacity adjusting ball is located in the bionic lung; and the bionic lung is also communicated with the smoking machine and the swallowing machine. The smoke flow field state in the real smoking process can be reproduced, the smoke deposition amount of each key part is accurately quantified, and a series of defects that when a current bionic device conducts smoking simulation, compared with the real smoking condition of a human body, obvious deviation still exists are overcome.

This invention relates to the field of medical auxiliary technology, specifically to a system for assisting in the interpretation of pediatric pulmonary function test data. This system, through the cooperation of multiple modules, can achieve the following steps: acquiring target measurement data of the child to be tested and each reference healthy child under different preset factors, and acquiring the lung volume curve corresponding to each reference healthy child; determining the local importance of each preset factor for each pair of reference healthy children; determining the overall interpretation importance corresponding to each preset factor; based on the overall interpretation importance corresponding to different preset factors, and the differences between the target measurement data of the child to be tested and each reference healthy child under the same preset factor, determining the marginal bias of the child to be tested under each preset factor, and evaluating the applicability of using the GLI equation for interpreting pulmonary function test data of the child to be tested, thereby improving the effectiveness of assisting in the interpretation of pediatric pulmonary function test data.

This invention provides a system and method for performing geometrically resolved X-ray imaging. [Solution] A method for imaging a patient's lungs is provided, comprising: positioning the patient in a first orientation relative to an X-ray imaging device; obtaining the patient's respiratory volume measurement; determining the patient's respiratory period based on the patient's respiratory volume measurement while the patient is positioned in the first orientation relative to the X-ray imaging device and while the patient's respiratory volume measurement is being obtained; and, if it is determined that the patient's respiratory period matches a predetermined respiratory period, performing gate control of the X-ray imaging device to generate an X-ray projection image of the patient's lungs.

The present application provides a plethysmography chamber and a disinfection method for the plethysmography chamber. The plethysmography chamber comprises a controller, a chamber body, and a detection module. A disinfection device is disposed inside the chamber body. The controller is electrically connected to the detection module and the disinfection device. The detection module is configured to perform lung volume detection under the control of the controller. The controller is configured to: acquire status information of the plethysmography chamber; and determine whether the status information of the plethysmography chamber meets preset conditions, and control, in the case that the conditions are met, the disinfection device to perform disinfection work. In this way, the plethysmography chamber can automatically acquire the status information of the plethysmography chamber and trigger automatic disinfection via the disinfection device in the case that the preset conditions are met, thus addressing the disinfection requirements of the chamber body during clinical lung function tests.

Provided are a lung volume estimation method and an apparatus therefor. The lung volume estimation apparatus inputs two-dimensional medical image and clinical information of a patient into an artificial intelligence model to determine the patient's lung volume. The artificial intelligence model may include a first neural network that generates an encoded image for the two-dimensional medical image and a second neural network that determines a lung volume from data obtained by concatenating an output value of the first neural network with the clinical information.

The present application relates to the technical field of image analysis, in particular to a dynamic image registration method for monitoring volume change of atelectasis lesion. First, a CT image sequence of a patient in one respiratory cycle is collected; a respiratory gray level change value is determined based on the gray level difference of the pixels between images; then, local areas are divided according to the position and gray level information of the pixels; in the respiratory cycle, the gas exchange of the atelectasis area is limited, the expansion capacity is limited during inhalation, and a dynamic mode different from normal lung tissue is formed; by analyzing the gray level change relationship of the pixels in local and global areas, and combining the respiratory gray level change value, a first abnormal factor is determined to screen out abnormal areas; because the atelectasis causes the displacement and gathering of pulmonary blood vessels and the reduction of lung volume, the difference characteristics of the number of pixels are analyzed, and the second abnormal factor is determined by comprehensively considering the blood vessels in the local area, the distribution relationship and the respiratory gray level change value; finally, an adaptive enhancement factor is obtained based on the two factors, the image is adaptively sharpened and enhanced, and the subsequent registration accuracy is improved.

The invention relates to the technical field of lung volume training, in particular to a blowing resistance adjusting mechanism and a lung volume training device comprising the same. The multi-stage resistance assembly comprises a plurality of resistance rings arranged on the piston plate, and an adjusting piece used for adjusting the direction of a resistance spring is arranged in an adjusting pipe; and stopping pieces are arranged between the remaining adjacent resistance rings except the resistance ring at the bottommost end, relative sliding of the adjacent resistance rings is limited through the stopping pieces, and when the resistance ring at the bottommost end moves upwards to the highest position of the sliding connection position, limitation of the resistance pieces of the adjacent resistance rings is relieved. A plurality of adjusting pipes are additionally arranged in the training device, a multi-stage resistance assembly is arranged in each adjusting pipe, the resistance in each adjusting pipe can be adjusted through the assembly, the expiration resistance requirements of different patients can be met, meanwhile, an air outlet adjusting assembly is arranged at the air outlet end of the training device and matched with a resistance part to be combined into various kinds of training, and the training effect is improved. And the training flexibility is improved.

To provide apparatuses and methods of use for treating a subject in need of assistance with breathing, where, in some embodiments, the subject suffers from airflow obstruction or the subject suffers from chronic obstructive pulmonary disease.SOLUTION: A method of treating a subject comprising: (a) sensing when a subject is exhaling; and (b) delivering a stimulus to the subject's thorax or abdomen during at least part of the expiratory phase of breathing in response to said sensing, so as to assist the subject with exhalation. The method includes decreasing the subject's end expiratory lung volume (EELV) as compared with the subject's EELV when unassisted.SELECTED DRAWING: Figure 3

The invention relates to the technical field of medical assistance, in particular to a children lung function examination data auxiliary interpretation system which can realize the following steps through mutual cooperation of a plurality of modules: obtaining target measurement data of a to-be-detected child and each reference healthy child under different preset factors, obtaining a lung volume curve corresponding to each reference healthy child; determining the local importance of each preset factor for every two reference healthy children; determining the overall interpretation importance corresponding to each preset factor; determining the edge deviation of the to-be-detected child under each preset factor according to the overall interpretation importance corresponding to different preset factors and the difference between the target measurement data of the to-be-detected child and the target measurement data of each reference healthy child under the same preset factor; and the applicability of using the GLI equation to perform lung function examination interpretation on the to-be-detected child is evaluated, so that the child lung function examination data auxiliary interpretation effect is improved.

The application provides a method and device for constructing a double-task lung collapse evaluation model, which comprises the following steps: obtaining lung images with different lung collapse degrees, and marking the collapsed lung region and the chest cavity background region; extracting the collapsed lung region image and marking the collapsed region and the non-collapsed region label; training a lung volume task segmentation module and a lung color task segmentation module based on the marked image; constructing a fusion evaluation module for obtaining the lung collapse evaluation result based on the segmentation result of the lung volume task segmentation module and the lung color task segmentation module; and obtaining the double-task lung collapse evaluation model based on the fusion evaluation module and the trained lung volume task segmentation module and lung color task segmentation module. The application solves the problem in the prior art that the lung collapse evaluation mainly depends on the subjective experience of doctors during surgery, lacks artificial intelligence assistance, and results in large differences in scoring results, which easily leads to misjudgment.