61 results about "Respiratory Process" patented technology

The invention discloses a point cloud-driven thoracic cavity whole organ dynamic reconstruction and respiration monitoring method and system, and the method comprises the steps: constructing a three-dimensional geometric model corresponding to each target structure in a thoracic cavity based on the thoracic medical image data of a target object, and converting the three-dimensional geometric model into static point cloud data; driving the static point cloud data to perform dynamic deformation simulation in a respiratory cycle based on a respiratory movement rule of the target object to obtain dynamic point cloud data synchronized with a respiratory time phase; performing time-space synchronization association on the dynamic point cloud data and the electrical characteristic parameters, and constructing a digital twin thoracic cavity model; deploying a virtual sensing assembly which dynamically deforms along with the thoracic cavity in the digital twin thoracic cavity model, simulating and monitoring the dynamic breathing process of the target object, and generating a virtual physiological signal; and performing signal processing on the virtual physiological signal to obtain a dynamic reconstruction image reflecting respiratory movement. Continuous simulation of the full-breathing movement process is achieved, and the temporal-spatial resolution and diversity of a virtual database are improved.

The embodiment of the invention relates to a lung function detection system which comprises a trolley used for bearing all functional modules of the detection system; the ventilation module comprises a valve body and a valve element, and the valve element is switched to be connected or disconnected with a valve body channel through actions so as to form different ventilation paths; the airway resistance module is configured to detect airway resistance parameters in the breathing process; the digital handle comprises a flow velocity tube provided with a total pressure channel, a static pressure channel and a sampling channel, the digital handle is configured to be selectively installed on the ventilation module or the airway resistance module, the breathing pressure is obtained through the total pressure channel and the static pressure channel in the breathing test process, and a corresponding gas sample is collected through the sampling channel; wherein the ventilation module is installed on the trolley through the first mechanical arm, the air channel resistance module is installed on the trolley through the second mechanical arm, and the digital handle is detachably connected to the trolley, the ventilation module or the air channel resistance module.

The present disclosure relates to a lung image registration, lesion positioning method and device, electronic equipment and storage medium, and relates to the technical field of DR image processing. Wherein, the method comprises: acquiring multiple left lung images and / or multiple right lung images at multiple moments in the breathing process; registering the left lung images at adjacent moments in the multiple left lung images respectively to obtain a plurality of first registration images corresponding thereto; registering the right lung images at adjacent moments in the multiple right lung images respectively to obtain a plurality of second registration images corresponding thereto; determining a first fixed image and a second fixed image in the multiple left lung images and the multiple right lung images respectively; registering any other first registration image except the first registration image corresponding to the first fixed image to the first fixed image respectively, and registering any other second registration image except the second registration image corresponding to the second fixed image to the second fixed image respectively. Lung image registration and lesion positioning can be achieved.

The application discloses a simulation-based respiratory displacement prediction method and device, a surgical robot, and an electronic device. The method comprises the following steps: obtaining a first three-dimensional model of a first object, wherein the first three-dimensional model comprises a first tissue model, and the first tissue model is a model of a first tissue in the first object; determining a first relationship of the first tissue model based on stress characteristics of the first tissue, wherein the first relationship is a relationship between a force received by the first tissue model and a deformation of the first tissue model; obtaining a first simulation force, wherein the first simulation force is used to simulate a respiratory force on the first tissue; and determining a first respiratory displacement of the first tissue based on the first three-dimensional model, the first relationship and the first simulation force, wherein the first respiratory displacement is a displacement generated by respiration of the first object. According to the method provided in the application, the first respiratory displacement of the first tissue can be determined by simulating the movement of the first tissue in the respiration process of the first object, and thus the accuracy of the first respiratory displacement can be improved.

This invention provides a non-contact method, device, equipment, and storage medium for measuring trunk respiratory parameters. It synchronously acquires three-dimensional motion data of optical reflective markers during respiration, with these markers positioned at multiple pre-defined anatomical landmark locations on the subject's trunk. Based on the three-dimensional motion data, it determines the volume change of the spatial envelope formed by the optical reflective markers. According to a pre-established mapping relationship between the volume change and tidal volume, it converts the volume change into tidal volume. Based on the signal of the volume change over time, it extracts the respiratory rate. Finally, it calculates the total respiratory volume based on the tidal volume and the respiratory rate. By combining optical motion capture with spatial geometric modeling, it achieves non-contact, continuous, and high-precision measurement of trunk respiratory motion, effectively overcoming the shortcomings of traditional methods, such as reliance on patient cooperation, invasiveness, expensive equipment, and complex operation.

This disclosure relates to a method, system, and dynamic X-ray camera for intelligent identification of chronic obstructive pulmonary disease (COPD), belonging to the field of intelligent COPD identification technology. The intelligent COPD identification method includes: acquiring one or more of the following dynamic X-ray quantitative parameters from a sequence of left lung field area parameters, right lung field area parameters, left diaphragm parameters, right diaphragm parameters, and cardiothoracic ratio parameters corresponding to multiple dynamic two-dimensional chest X-ray images during respiration; and performing intelligent COPD identification based on one or more of the dynamic X-ray quantitative parameters from the left lung field area parameters, right lung field area parameters, left diaphragm parameters, right diaphragm parameters, and cardiothoracic ratio parameters, using a preset intelligent COPD identification model. The embodiments of this disclosure can achieve intelligent identification of chronic obstructive pulmonary disease.

The invention provides a breathing mode classification method and system based on a CNN-LSTM neural network, and the method comprises the steps: collecting body surface point cloud data in a non-shielding state and an arm shielding state in a human body breathing process, and extracting a breathing motion feature on the basis of extracting the breathing motion feature; the invention provides an optimization method for abnormal respiratory movement characteristics of a significant respiratory movement area, solves the interference of environmental noise and newborn clinical characteristics on respiratory signals, and comprises the following steps of: firstly, partitioning a thoracic and abdominal voxel model, and extracting the respiratory movement characteristics of the significant area based on KPCA (Kernel Principal Component Analysis); motion artifacts are removed through a Savitzky-Golay filter, body motion interference is inhibited by using a method of fusing a peak threshold method and a local variance threshold, and baseline drift is removed by using a grey wolf optimization algorithm. According to the method, a CNN-LSTM neural network is constructed to classify four breathing modes of normal, rapid, slow and pause, model parameters and evaluation indexes are determined, effective classification and recognition of the breathing modes are achieved, and the monitoring precision and clinical application value are improved.

The present application relates to a kind of fusion lung ventilation spatiotemporal feature acquisition method, on the basis of establishing three-dimensional electrical impedance image, carry out the visualization research of lung dynamic ventilation condition, fusion evaluation lung ventilation time and spatial heterogeneity, for dynamic respiratory process, the activity of each three-dimensional electrical impedance image will be obtained in time sequence arrangement and obtain three-dimensional electrical impedance activity curve, extract fusion lung ventilation spatiotemporal feature from three-dimensional electrical impedance activity curve for lung function assessment.Can realize long-term continuous dynamic monitoring;First use three-dimensional EIT to carry out lung function research, can be dynamically observed to whole lung ventilation, fusion evaluation lung ventilation time and spatial heterogeneity, convert into three-dimensional electrical impedance activity curve, it is beneficial to clinical auxiliary diagnosis and local lung function characterization.

The application discloses a point cloud driven thoracic cavity whole organ dynamic reconstruction and respiratory monitoring method and system, and the method implementation comprises the following steps: based on the thoracic medical image data of a target object, constructing three-dimensional geometric models corresponding to each target structure in the thoracic cavity, and converting the three-dimensional geometric models into static point cloud data; based on the respiratory motion law of the target object, driving the static point cloud data to perform dynamic deformation simulation in a respiratory cycle, and obtaining dynamic point cloud data synchronized with the respiratory phase; synchronously associating the dynamic point cloud data with electrical characteristic parameters in time and space, and constructing a digital twin thoracic cavity model; deploying a virtual sensor assembly that dynamically deforms with the thoracic cavity in the digital twin thoracic cavity model, and simulating and monitoring the dynamic respiratory process of the target object, and generating a virtual physiological signal; and through signal processing on the virtual physiological signal, a dynamic reconstruction image reflecting the respiratory motion is obtained. The continuous simulation of the whole respiratory motion process is realized, and the time and space resolution and diversity of the virtual database are improved.

This invention belongs to the field of image processing technology and specifically discloses a method and system for extracting respiratory motion features of the body surface based on dynamic region updating. The method includes: collecting temporal point cloud data of the chest and abdomen of a subject during respiration; determining an initial region of interest based on the three-dimensional point cloud and dividing it into multiple pseudo-voxel blocks; calculating the geometric center of the midpoint of each pseudo-voxel block to obtain a region update score characterizing the activity level of the pseudo-voxel block; when the region update score of a pseudo-voxel block is higher than a preset threshold in multiple consecutive time windows, it is included in an active pseudo-voxel set; determining a cross-window stability score based on the salience of the active pseudo-voxel blocks in each time window, thereby selecting stable and salient regions from the active pseudo-voxels; extracting the phase propagation features and cross-window stability scores of the stable and salient regions to obtain the respiratory motion features of the body surface. This invention can achieve stable and accurate extraction of respiratory motion features based on temporal body surface point clouds.

The utility model relates to the technical field of medical instruments, and discloses an oxygen tube nose clip for clinical respiration, which comprises an oxygen tube, two nasal ventilation tubes are fixedly connected to the middle of the oxygen tube, a plurality of air outlets are arranged outside the nasal ventilation tubes, a fixing ring is fixedly connected to the top of each nasal ventilation tube, and the oxygen tube is fixed to the fixing ring. The inner wall of the fixing ring is fixedly connected with a connecting assembly used for being connected with a follow-up mechanism, the other end of the connecting assembly is fixedly connected with a piston, the inner wall of the stuffy nose tube is slidably connected with a foam light ring, and the outer wall of the fixing ring is fixedly connected with a fixing assembly used for fixing the nasal splint to the nasal cavity opening of a patient. The fixing assembly comprises a plurality of springs, and the close ends of the springs are fixedly connected to the outer wall of the fixing ring. According to the oxygen supply device, the breathing process and the exhaling process are separated, oxygen and exhaled air are prevented from being mixed during secondary breathing, the purity of oxygen inhaled by a patient is guaranteed, and the oxygen supply effect and the treatment effect are improved.

The invention relates to the field of suffocation risk early warning, in particular to a breathing monitoring and suffocation early warning system for bedridden patients based on a flexible electrode array. The system divides a plurality of breathing cycles according to changes of global impedance values of electrical impedance images in the breathing process of a patient in time sequence, obtains the interference degree of each breathing cycle, and obtains the interference degree of each breathing cycle according to distribution of impedance values of the same pixel point positions of all the electrical impedance images in the breathing cycles. The method comprises the following steps: acquiring the respiratory efficiency of each respiratory cycle at each pixel point position, clustering the respiratory cycles, obtaining the respiratory efficiency difference degree of a cluster at each pixel point position, analyzing the change of the respiratory efficiency difference degree of each pixel point position in the same direction, and combining the interference degree of the respiratory cycles to obtain the respiratory efficiency of each pixel point position. And obtaining the suffocation risk weight at each pixel point position in each respiratory cycle, and adjusting the impedance value of each pixel point in the electrical impedance image to realize suffocation risk early warning. The accuracy of patient suffocation risk early warning can be improved.

The invention discloses a breathing demisting method, a breathing demister and a breathing demisting system for a normal-pressure container, and belongs to the technical field of industrial waste gas treatment. According to the method, a hydrophobic membrane filter element type demister is arranged at a breathing opening of a container, so that bidirectional gas-liquid separation is realized: when the container exhausts gas, acid-containing entrainment is intercepted, and clean emission is realized; when the container sucks air, moisture in the air is removed, and equipment corrosion is prevented. The breathing demister comprises a shell and a hydrophobic membrane filter element arranged in the shell, and the shell is provided with an air inlet / outlet, a breathing opening and a liquid outlet. According to the system, a breathing demister is connected with a normal-pressure container to form a complete treatment loop. By utilizing the efficient gas-liquid separation characteristic of the hydrophobic membrane, the two problems of unorganized emission pollution and equipment corrosion in the breathing process of the normal-pressure container are solved at one stroke, and the device has the advantages of being compact in structure, free of maintenance, safe and environmentally friendly.

The present disclosure provides a tumor motion model determination method and an electronic device. The method includes acquiring a scanning image of a target object during a positioning stage, and a respiratory signal of the target object; and determining a tumor motion model based on a planning image of the target object, a position of a tumor of the target object in the scanning image, and the respiratory signal. Herein, the tumor motion model is used to characterize an orientation change situation of the tumor of the target object during a respiratory process of the target object.

The invention discloses wearable breathing monitoring equipment with a leakage compensation function and a breathing system, and relates to the technical field of medical instruments. The oxygen concentration sensor, the carbon dioxide concentration sensor and the gas flow sensor are used for detecting the carbon dioxide concentration, the oxygen concentration and the gas flow in the breathing process in real time, and the detection results of the oxygen concentration sensor, the carbon dioxide concentration sensor and the gas flow sensor are compensated based on leakage coefficients. And the reliability of a detection result is ensured.

Devices and methods for generating synthetic cardio-respiratory signals from one or more ballistocardiogram (BCG) sensors. A method for determining item specific parameters includes obtaining ballistocardiogram (BCG) data from one or more sensors, where the one or more sensors capture BCG data for one or more subjects in relation to a substrate. For each subject, the captured BCG data is pre-processed to obtain cardio-respiratory BCG data. The cardio-respiratory BCG data is sub-sampled to generate the cardio-respiratory BCG data at a cardio-respiratory sampling rate conducive to cardio-respiratory signal generation. The sub-sampled cardio-respiratory BCG data is cardio-respiratory processed to generate a cardio-respiratory parameter set. A synthetic cardio-respiratory signal is generated from at least the cardio-respiratory parameter set and a cardio-respiratory event morphology template. A condition of the subject is determined based on the synthetic cardio-respiratory signal.

The application provides an insertion part and an endoscope, and relates to the technical field of endoscopes, and solves the problem of large displacement of the insertion part relative to a target lesion caused by breathing movement in the prior art. The endoscope is provided with an insertion part, a working channel, a first fluid channel and a second fluid channel which are independently arranged in the front end assembly of the insertion part and extend from the proximal end to the distal end; the outer peripheral wall of the insertion part has a to-be-fixed region which is adjacent to the front end assembly as a whole; the first fluid channel delivers a hydrogel to an outlet located in the to-be-fixed region for discharge; the second fluid channel delivers a hydrogel degrading agent to an outlet located in the to-be-fixed region for discharge; and the outlet of the working channel is located on the distal end face of the insertion part for passing out of an instrument and negative pressure suction. The application can fill the insertion part with a hydrogel between the insertion part and the bronchus through the first fluid channel to temporarily fix the insertion part at the position adjacent to the lesion in the bronchus, so that the displacement degree between the insertion part and the lesion can be reduced during the breathing process of the patient.

The invention discloses a transmission device for assisting a small animal to autonomously breathe hyperpolarized gas, which is characterized in that a sealed breathing mask is used for replacing a trachea cannula, and stable pressure of atmospheric pressure at the breathing mask is used for replacing periodic pressure change under high-pressure forced ventilation at the cannula; the animal spontaneous respiration gas amount is used for replacing the manually set fixed gas amount, and the state of inhaled gas is controlled under spontaneous respiration to replace fully controlled mechanical ventilation in the respiration process; the invention further discloses a method for assisting the small animal in autonomously breathing the hyperpolarized gas, the device can supply the gas amount required by autonomously breathing to the experimental animal according to the self-breathing state of the experimental animal, and the gas amount inhaled by the experimental animal each time is determined by the self-breathing state, so that the experimental animal can autonomously breathe in a free state; lung expansion in an abnormal breathing state can be avoided, so that a more accurate ventilation function and qi-blood exchange function evaluation result is obtained.

The invention discloses a wearable monitoring system for real-time acquisition of respiration, electrocardio and myoelectricity, and relates to the technical field of medical equipment, the wearable monitoring system comprises a monitoring terminal, a data processing center and an equipment management platform, the monitoring terminal comprises a respiration monitoring module, an electrocardio monitoring module, a myoelectricity monitoring module and a blood oxygen and heart rate monitoring module; the monitoring terminal is composed of a flexible sensing jumpsuit and adopts an ergonomic wearable design; the flexible sensing jumpsuit is made of flexible conductive fiber fabric and has the characteristic of variable tensile resistance, conductive fibers deform along with expansion and contraction of the thorax in the breathing process, the resistance value changes accordingly, and the breathing volume and the myoelectricity change are accurately measured through a breathing monitoring module; the electrocardio monitoring module integrates a textile electrode at the position, corresponding to the heart area, of the inner side of the jumpsuit. Synchronous high-quality collection of three important physiological signals of respiration, electrocardio and myoelectricity can be achieved, and electrocardio monitoring meets the national detection standard.

The application discloses a kind of simulation human thoracic lung respiratory tumor model and its manufacturing method, belong to medical instrument field, using multiple shell mold assembly formation is provided with cavity lung shell mold, using flexible material forms hollow respiratory cavity structure, according to the location of tumor, liquid flexible material is injected into cavity, after flexible material solidification, metal ball of simulating tumor is placed, respiratory cavity structure is placed in cavity, according to the number of tumor and the location continues to inject liquid flexible material and place metal ball until cavity is filled to form the lung model containing tumor model, rib model is sleeved into lung model, multiple split mold is closed to lung model and forms chest mold, liquid flexible material is injected into chest mold, and solidification demolding obtains thoracic lung respiratory tumor model, the simulation human thoracic lung respiratory tumor model made simulates human respiration by inflation or deflation, accurately determines displacement change caused by tumor with respiration in the process of respiration.

Systems and methods for exercising the human respiratory system using inhalation restrictive devices with regular daily exercise protocols are provided. The exemplary system provides a set of progressively restrictive, Mini Inhaler mouth pipes, organized and presented in a special case in a manner that allows the easy selection and use by the individual to carry out a daily routine of breathing exercises. The Mini Inhalers are organized in a case that positions each in numerical order and therefore in the order of inhalation restriction (ease of breathing). The methods focus on selecting an optimal inhalation restriction device that forces an improvement in the breathing process over time. The methods include initially selecting an optimal Mini Inhaler and using that selected Mini Inhaler repeatedly each day to improve respiratory function.

A delivery device capable of being mounted or attached outside the nose to a nasal device, wherein said delivery device is adapted to deliver, spread or emit inhalable compositions or substances such as inhalable fumes from said delivery device to the nasal passages of the nose so as to be inhaled by the user, such as during respiration, when in use. Nasal devices such as nasal dilator devices comprising same, and cases for storing and housing same.

A method for determining a scaled respiratory flow rate and volume during respiration of a patient includes a) successively determining a plurality of values for a difference between a pressure in at least a first location in an upper respiratory tract of the patient and a reference pressure, b) deriving the scaled respiratory flow rate from the plurality of values for the pressure difference by using a first relationship, c) deriving the scaled respiratory volume from the plurality of values for the pressure difference by using a second relationship, and d) displaying the scaled respiratory flow rate derived in step b) and the scaled respiratory volume derived in step c) or a further variable derived from the scaled respiratory flow rate and volume in a graphical representation. Step a) is performed during tidal breathing of the patient. A system for performing the aforementioned method.

The disclosure relates to a diaphragm movement display method and device, electronic equipment and storage medium, and relates to the technical field of DR image processing. The diaphragm movement display method comprises the following steps: acquiring a plurality of left lung movement apices and a plurality of right lung movement apices corresponding to DR left lung images and DR right lung images at multiple moments in a breathing process, and a plurality of left lung diaphragm movement point sequences and a plurality of right lung diaphragm movement point sequences corresponding to the DR left lung images and the DR right lung images at multiple moments in the breathing process; and displaying the plurality of left lung movement apices and the plurality of right lung movement apices by using first color lines, and displaying the plurality of left lung diaphragm movement point sequences and the plurality of right lung diaphragm movement point sequences by using second color lines. The embodiment of the disclosure can realize visual display of diaphragm movement.

The invention relates to a method and system for determining and diagnosing the maximum expiratory volume in the first second and a dynamic X-ray camera, and relates to the technical field of determination and diagnosis of the maximum expiratory volume in the first second. The method for determining the first-second expiratory volume of the maximum expiration comprises the following steps: acquiring a plurality of dynamic X-ray two-dimensional chest images in the breathing process, including the maximum deep inspiration and the maximum expiration; determining the maximum deep inspiration X-ray two-dimensional chest image in the dynamic X-ray two-dimensional chest images in the breathing process; according to the maximum deep inspiration X-ray two-dimensional chest image, determining a maximum expiration first-second X-ray two-dimensional chest image in a plurality of dynamic X-ray two-dimensional chest images in the breathing process; based on the ventilation capacity corresponding to the maximum expiration first-second X-ray two-dimensional chest image, the maximum expiration first-second expiration capacity is determined. According to the embodiment of the invention, the maximum expiratory volume in the first second of expiration can be determined and diagnosed.

The utility model discloses an artificial respiration nursing device, and relates to the technical field of medical instruments. Comprising a main body and a first air suction pipe, a storage battery for power supply is fixedly installed on the inner bottom wall of the main body, a cavity for storage is fixedly installed on the inner bottom wall of the main body, an atomizer for treatment is in through connection with the upper surface of the cavity, and a medicine storage bin for storage is in through connection with the top end of the atomizer; the bottom end of the first air suction pipe is in through connection with an inner pipe used for transportation, and a cotton layer used for filtering is fixedly installed on the inner side wall of the inner pipe. The cotton layer, the second air suction pipe and the filter layer are arranged in a matched mode, the cotton layer and the filter layer can absorb water drops generated in the breathing process of a patient, liquid is prevented from entering the body of the patient, and therefore continuity of artificial respiration and sanitation of the breathing environment are kept, and meanwhile the second air suction pipe is arranged, so that the breathing effect is improved. And unnecessary contact can be reduced for a patient, so that transmission of viruses or bacteria is greatly reduced.

The embodiment of the invention provides an anesthesia induction box. The anesthesia induction box comprises a body, a sliding cover, an air inlet connector and an air outlet connector. The color of the main body and the sliding cover is semitransparent red; the slide cover can open and close the anesthesia induction box; the gas inlet connector and the gas outlet connector are arranged on the main body and used for feeding anesthetic gas and discharging waste gas. The colors of the main body and the sliding cover of the anesthesia induction box are semitransparent red, the anesthesia induction box is closed through the sliding cover after an animal is placed in the anesthesia induction box, anesthetic gas is introduced through the gas inlet connector, and the animal inhales the anesthetic gas and exhales the gas in the breathing process, so that the animal is more transparent from the visual sense of the animal; when seen from the inside of the anesthesia induction box to the outside, the anesthesia induction box is black, so that animals can be kept calm as much as possible and enter an anesthesia state quickly.

The invention discloses an ultrasound-based diaphragm movement monitoring system, which belongs to the technical field of medical imaging and respiratory function evaluation, and comprises an ultrasonic imaging module, an image recognition and segmentation module, a movement tracking and parameter extraction module and a data analysis and display module. The system collects a dynamic image sequence of the diaphragm in real time in the breathing process through ultrasonic imaging, extracts the diaphragm contour by using an image segmentation method, and establishes a displacement curve based on the change of the contour along with time; by analyzing the displacement curve, quantitative indexes of the diaphragm in the aspects of motion amplitude, contraction speed, average contraction level, respiratory cycle, bilateral symmetry, coordination degree, energy consumption, functional efficiency and the like can be obtained, and comprehensive evaluation of the diaphragm motion state is realized. The system has the advantages of being noninvasive, safe, repeatable and automatic, standardization can be provided, real-time display and remote transmission are supported, and the system is suitable for intensive care, postoperative rehabilitation, family health management and other scenes.