612 results about "Lung" patented technology

Systems and methods of the invention generally relate to prolonging viability of bodily tissue, especially an organ such as a lung, by adjusting pressure as needed to maintain a constant pressure within the organ even during external pressure fluctuations due, for example, to transportation of the organ in an airplane. Gas passing into and out of the organ may be conditioned to prolong tissue viability.

Systems and methods of the invention generally relate to prolonging viability of bodily tissue, especially an organ such as a lung, by adjusting pressure as needed to maintain a constant pressure within the organ even during external pressure fluctuations due, for example, to transportation of the organ in an airplane. Gas passing into and out of the organ may be conditioned to prolong tissue viability.

The invention relates to the technical field of radiotherapy, in particular to a space-time compensation method and system for radiotherapy of pancreas respiratory movement variability, and the method comprises the steps: setting an infrared reflective mark point on the body surface of a patient, and obtaining a body surface three-dimensional CT image and an infrared camera real-time image under respiratory movement; establishing a pancreas three-dimensional model, a CTV target region model and a respiratory movement model; predicting body surface mark point displacement by adopting a long-short-term memory network algorithm and generating a respiration curve; determining a pancreas three-dimensional coordinate motion state; predicting lung motion by using optical flow motion estimation, and reversely solving a pancreas motion trail; determining the opening and closing states of the blades of the multi-blade collimator; according to the method, the mapping relation between lung movement and pancreatic movement is established through reverse mapping, an improved optical flow movement estimation algorithm and an LSTM network are adopted to predict respiratory movement, and the CTV leakage volume can be remarkably reduced to 0.4 cm from 2.1 cm of a traditional gating technology.

The invention belongs to the technical field of medical imaging and digital twinning, and discloses a thoracic cavity whole organ system level lung four-dimensional EIT detection digital motif and a library building method, and the method comprises the following steps: S1) segmenting multiple organs such as double lungs, heart, sternum, rib and thoracic vertebra central axis skeleton, main bronchus and esophagus based on an individual CT image, and building a three-dimensional geometric model integrated with an EIT electrode array; s2) simulating breathing dynamic deformation by using a solid mechanical model; s3) establishing a coupling relationship between deformation and conductivity, and generating dynamic three-dimensional conductivity distribution; s4) solving an electromagnetic field positive problem, and generating a virtual EIT voltage database synchronous with respiration; the invention also covers pathological model integration and data enhancement strategies. According to the method, a high-fidelity, large-scale and diversified EIT virtual data set can be generated, core data support is provided for training and verifying an AI intelligent reconstruction algorithm, and a model foundation is laid for developing a lung function dynamic digital twinning system.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

The invention belongs to the technical field of intelligent rehabilitation equipment control, and relates to a multi-parameter feedback regulation and control method for postoperative lung function rehabilitation training, which comprises the following steps: acquiring an electrocardiosignal, a respiration signal and a limb movement signal of a patient; identifying a heart rate fluctuation form of the electrocardiosignal to generate an abnormal fluctuation time period, and analyzing a time difference between an inspiration phase and an expiration phase of the respiratory signal to generate a starting point of respiratory rhythm disorder; judging a cardiopulmonary risk level; the exercise intensity of rehabilitation training equipment is automatically adjusted based on the cardiopulmonary risk level, and meanwhile a regulation and control mode is dynamically selected according to the proportion change of the chest fluctuation amplitude and the abdomen fluctuation amplitude; when the heart rate recovery rate is lower than a preset reference and the respiratory rhythm stabilization time exceeds a critical value, gradually improving the exercise intensity; calculating a motion intensity correction coefficient and triggering a motion posture correction instruction; and generating a rating report containing the cardiopulmonary function fitness. According to the invention, the problem of lack of comprehensive quantitative evaluation of rehabilitation efficiency in the prior art is solved.

The invention discloses a respiration monitoring system based on a flexible strain sensor and a monitoring analysis method, and belongs to the technical field of sensors and respiration monitoring equipment. The respiration monitoring system comprises a flexible strain sensor, a connecting line, a data acquisition card and an upper computer; the flexible strain sensor is a band-aid type flexible strain sensor and can be directly adhered to the skin surface of a human body, and the deformation of muscles related to respiration is monitored and converted into the change of a resistance signal. And the flexible strain sensor is connected with the data acquisition card through a connecting line. And the data acquisition card is connected with the upper computer and is used for transmitting the acquired resistance signals to the upper computer. The quantitative breathing mode judgment standard is provided through dynamic measurement of the respiratory muscle group, and the defect that judgment is mainly conducted through naked eyes of doctors for a long time can be overcome; the relation between the respiratory muscle group deformation and the lung function parameters is associated, and the problem that the actual respiration condition of part of patients does not conform to the detection condition in conventional lung function detection can be solved.

The invention relates to the technical field of intelligent monitoring, and particularly discloses a lung function evaluation method and device, electronic equipment and a storage medium, and the method comprises the following steps: obtaining a universal dynamic threshold range of respiratory rate and respiratory amplitude; continuously collecting breathing data output by the MEMS breathing sensor, and obtaining and updating the moving average value and the moving standard deviation of the breathing frequency and the breathing amplitude in real time so as to calculate the change rate of the breathing frequency and the breathing amplitude in real time; according to the updated moving average value and the moving standard deviation, dynamically adjusting the dynamic threshold range of the breathing frequency and the breathing amplitude; comprehensively considering the adjusted dynamic threshold range and the change rate to carry out breathing abnormity judgment so as to carry out lung function evaluation; according to the method, finally, the adjusted dynamic threshold range and the breathing parameter change rate are comprehensively considered, breathing abnormity judgment is conducted, the lung function evaluation result is generated, breathing abnormity can be recognized more accurately, and the accuracy and reliability of lung function evaluation are improved.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib monotherapy as the main component to a subject in need thereof, as well as diagnostic criteria and markers establishing the progress of therapy.

The invention relates to the technical field of atomization rate control, in particular to an intelligent atomization compliance monitoring method and system for children. The method comprises the following steps: firstly, acquiring expiration flow velocity, inspiration flow velocity and multi-direction motion acceleration time sequence data of a child in a historical monitoring period, and reflecting breathing and behavior action conditions; dynamically analyzing the numerical characteristics of the expiration flow velocity and the inspiration flow velocity to divide a respiratory cycle, and analyzing the cycle length, the inspiration flow velocity cumulant and the like to construct a respiratory characteristic vector; screening a target monitoring period based on the breathing feature vector and the period number similarity; further analyzing the motion acceleration change and accumulation characteristics in the target monitoring period, and quantifying the behavior compliance expression degree; the behavior compliance expression degree and the breathing feature vector are deeply fused, a'breathing state-behavior cooperation 'joint evaluation model is established, the breathing and behavior states of children are dynamically recognized, the medicine atomization rate is accurately adjusted, and effective deposition of lung medicine is improved.

The utility model relates to the technical field of equipment testing, in particular to a passive following type respirator testing device and system.The device comprises a respiration simulation assembly provided with a passive following type respirator; the muscle simulation assembly is connected with the respiration simulation assembly and used for driving the respiration simulation assembly to move and simulating the expiration and inspiration exchange process of the human body based on the movement of the respiration simulation assembly; and the upper computer is communicated with the muscle simulation assembly and is used for inputting a test instruction to enable the muscle simulation assembly to move and outputting a test result of the passive following type respirator according to the test data of the passive following type respirator. Therefore, the problem that the test accuracy is low due to the fact that the simulated lung lacks a power source and the spontaneous respiration state of human muscles cannot be simulated in the prior art is solved.

The invention provides a lung function compensation mechanism dynamic quantitative analysis method combining partition impedance measurement and a machine learning algorithm, and the method comprises the steps: obtaining a corresponding relation between a ventilation dynamic sequence and a blood flow characteristic value, and enabling the ventilation dynamic sequence and the blood flow characteristic value to be aligned in a time dimension through a multi-dimensional data fusion technology, constructing a joint feature matrix reflecting the breathing process change and the blood flow state to obtain a time-space synchronization feature set; expanding the three-dimensional dynamic model according to a time axis by adopting a data visualization technology through a compensation state quantification result, extracting a key frame from linkage change of a ventilation state value and a blood flow characteristic value, and generating a dynamic representation sequence reflecting a lung function compensation process; and obtaining a dynamic representation sequence, carrying out grouping analysis on individual differences in the sequence by utilizing a clustering algorithm, extracting a characteristic mode related to disease dynamics from a grouping result, and obtaining final lung function compensation quantitative representation data.

The invention belongs to the technical field of lung function nursing, and discloses a nursing device for improving lung function after thoracic surgery, comprising: a back plate, two sides of the lower end of the back plate are respectively provided with an air filter box and a waste liquid inbox; an outlet of the air filter box is connected with a breathing mask through a hose; a mouthpiece is fixedly arranged on the breathing mask; a suction pump is arranged on the waste liquid inbox, the input end of the suction pump is communicated with a sputum suction pipe, and the sputum suction pipe is in sliding connection with the breathing mask; elastic ropes are fixedly arranged on the two sides of the lower end of the back plate, handles are fixedly arranged at the outer ends of the elastic ropes, and a monitoring mechanism is fixedly arranged on the back plate. The device can be conveniently used when a patient lies in bed, the device can be fixed to the back through the shoulder buckle belt and the waist buckle belt, the patient can hold the handles with two hands to stretch the elastic rope to conduct chest expanding training, the comprehensive evaluation module comprehensively evaluates the physical condition and the lung function condition of the patient, the drainage monitoring module monitors the drainage condition, and the risk prediction module conducts risk prediction.

The invention relates to the technical field of medical data mining, in particular to a postoperative pulmonary infection prediction method and system.The postoperative pulmonary infection prediction method comprises the following steps that a continuous data set is formed by collecting breathing parameters and conducting alignment completion, tidal volume and blood oxygen response delay characteristics are extracted through sliding analysis, and a functional abnormal pulmonary segment is located through local anomaly recognition; and fusing physiological and anatomical features to establish a spatial probability map, extracting a respiratory variation coefficient and a risk feature regression analysis confidence index, and outputting an infection risk early warning list with anatomical positioning. According to the method, data faults are eliminated through timestamp alignment to improve the reliability of time sequence association, the breathing compensation capability is quantified through multi-scale window analysis dynamic coupling, lesion avoidance feature masking is accurately positioned through local anomaly detection, and the result interpretability is enhanced through combination of multi-modal feature fusion and space mapping. The three-stage progressive mechanism improves the prediction precision and timeliness, and provides a decision basis with both time sensitivity and anatomical orientation for clinic.

The invention relates to the technical field of rehabilitation assistance, in particular to an intelligent breathing assistance system for lung rehabilitation, comprising: a breathing part, the breathing part comprising a breathing cylinder, the breathing cylinder comprising a fixed cylinder and a folding cylinder, the fixed cylinder being internally provided with an auxiliary assembly; the wearing part comprises a chest cover and an abdomen cover, a connecting channel and a vibration channel are formed in the chest cover, an air bag is embedded in the abdomen cover, and a vibration phlegm eliminating assembly is arranged in the vibration channel; the thoracico-abdominal movement mode recognition unit is used for detecting a breathing mode of a user; the lung function detection unit is used for calculating and detecting the tidal volume of a user; the personalized training control unit is used for adjusting breathing resistance according to the tidal volume and breathing modes, according to different breathing modes of users, the breathing assisting force is adjusted through kinetic energy of gas exhaled by the users, key parameters such as the tidal volume and the recovery condition are monitored in real time, the lung rehabilitation effect is further improved, and the lung rehabilitation effect is improved. And more accurate and effective breathing adjuvant therapy is realized.

The subject of the invention is a method of electroacoustic heart-lung dynamics that includes the steps of: A) recording a three-dimensional ECG; B) recording three-dimensional impedance rheometry of the chest; C) recording of chest sounds resulting from internal organs in the frequency range up to 20 kHz; D) recording ultrasound from the chest resulting from the movement of internal organs in the frequency range above 20 kHz; E) determination of characteristic events in the data from steps A), B), C), and D) associated with a given organ in particular detection of the breathing phase, breathing rhythm, and breathing rate, and in particular detection of the heart contraction phase using the data from steps A) and B), and detection of sounds from the lungs; F) determining the temporal and / or phase correlation of events in the data from steps A), B), C) and D); G) comparing the temporal and / or phase correlation of events from steps A), B), C), and D) with the benchmark data; H) determination of the relationship between the determined temporal and / or phase correlation of events and the benchmark temporal and / or phase correlation of events. The object of the invention is also a device for implementing this method. (15 claims)

The application belongs to the technical field of animal models for basic scientific research, and particularly relates to a method for establishing an acute lung injury animal model, which comprises the following steps: sending a podophyllotoxin or a podophyllotoxin reagent into a rat body through oral administration or intragastric perfusion to obtain the acute lung injury animal model. The method for establishing the acute lung injury animal model provided by the application uses the podophyllotoxin as an inducer for establishing a mouse acute lung injury model, and the mouse can orally take or intragastrically perfuse the podophyllotoxin to achieve the method, without needing a special medicine injection device, so that the method is simple in medicine taking, few in experimental steps, and does not need complex surgical operations.

The utility model discloses a respiratory nursing lung function rehabilitation training device, and relates to the technical field of medical equipment. The device comprises a base, a connecting cylinder is fixedly connected to the upper surface of the base, a connecting plate is fixedly connected to the top end of the connecting cylinder, a connecting block is fixedly connected to the top of the connecting plate, a ventilation groove is formed in the connecting block, a breathing hose is fixedly connected to the position, close to the bottom, of the outer surface of the connecting cylinder, and a bottom plate is placed in the connecting cylinder; a top plate is arranged on the upper surface of the bottom plate, and two ends of a spring are fixedly connected between the bottom plate and the top plate. According to the breathing training device, through the installed air filter element, when a patient exhales into the training device, air can be blown into the connecting cylinder from one side of the spring, then enters the air filter element from one circle of the edge to be filtered, and then comes out of the middle of the air filter element to flow into the ventilation groove, so that the exhaled air is filtered; furthermore, the quantity of germs in exhaled air is greatly reduced, and the sanitary condition of the device in use is optimized.

The disclosure provides systems and methods for treating obstructive sleep apnea using an acoustic sensor configured to detect acoustic sounds generated by the heart and lungs. Sensory data from the acoustic sensor is used by an implanted stimulation system to determine when to deliver electrical stimulation to a nerve which innervates an upper airway muscle, such as the hypoglossal nerve, to treat sleep apnea.

A lung exercise measurement device and method that utilizes one or more lift timers, rest timers and / or set counters to accurately display valuable metrics and goals for tracking and improving respiratory development using a lung trainer breathing technique device, with particular advantages for instructive, competitive, self-learning, and group training environments.

The invention provides a lung expiration training system for nursing a patient outside a chest, which relates to the technical field of medical rehabilitation training and comprises a respiratory signal acquisition module, a main control and signal processing module, a feedback and excitation module and a data management and scheme customization module, the respiratory signal acquisition module is used for acquiring an instantaneous pressure difference signal in the expiration process of a patient in real time by utilizing a differential pressure type flow sensor; the main control and signal processing module converts the pressure difference signal into instantaneous flow, obtains an expiration flow-time curve, a primary expiration amount and expiration efficiency based on discrete sampling, smooth operation and integral calculation, and calculates an error sum of squares and a curve goodness of fit to form a comprehensive control amount; the feedback and excitation module provides visual, auditory or tactile feedback according to the comprehensive control quantity, and can present a gamification interface to guide the patient to adjust the breathing rhythm; the data management and scheme customization module is used for setting a personalized training scheme and recording training data, and the trend analysis unit generates a rehabilitation trend report based on historical indexes.

The present invention provides, among other things, apparatus and methods of use for treating a subject in need of assistance with breathing. In some embodiments the subject suffers from airflow obstruction. In some embodiments, the subject suffers from chronic obstructive pulmonary disease.

The invention relates to an apparatus for determining an indicator, which is representative for a physiological parameter of a patient like a fluid responsiveness parameter, based on a pulse signal. The apparatus determines a) a respiratory pulse variation signal (r0) corresponding to pulse variations caused by ventilation or respiration induced heart-lung interaction based on the pulse signal and b) a systolic part of the respiratory pulse variation signal, which corresponds to a time period in which an increasing or decreasing applied pressure passed the systolic arterial pressure of the patient and which therefore is prone to comprising an artifact. Moreover, the respiratory pulse variation signal is modified such that the determined systolic part of the respiratory pulse variation signal is corrected, wherein the indicator is determined based on the measured pulse signal and the modified respiratory pulse variation signal. This procedure allows for a more accurate determination of the indicator.

The invention belongs to the technical field of medical instruments. In order to solve the problems that an existing lung function detection device is low in detection result accuracy and cannot detect parameters such as the residual gas amount, the device for assisting in detecting the lung function of the chronic obstructive pulmonary disease patient is provided and comprises a detection device, a helium bottle, a sealing mask, a nose clip, an air suction pipe, an air outlet pipe, a sealing unit and a plugging switching mechanism; one end of the air suction pipe is connected with the helium tank, and the other end is connected with the plugging switching mechanism; one end of the air outlet pipe is connected with the detection device, and the other end is connected with the plugging switching mechanism; the nose clip is arranged at the upper end of the sealing mask. According to the embodiment of the invention, a subject cannot inhale external air and cannot exhale in-vivo air from the nasal cavity through the nasal clip, and the plugging switching mechanism can thoroughly open the pipe orifice of the air outlet pipe or the air inlet pipe, so that the subject can inhale or exhale easily, the detection accuracy is high, and the detection efficiency is high. And the method can be combined with a closed helium dilution method to obtain parameters such as residual gas amount.

The present disclosure provides methods of treating pulmonary fibrosis, the methods comprising administering taladegib to a subject in need thereof.

The invention discloses an atomization machine for adjuvant therapy of children cough, and relates to the technical field of atomization therapy, the atomization machine comprises a main machine, an atomization cup, a respiration adjusting assembly and a respiration piece, the atomization cup is provided with a mist outlet pipe, the respiration piece is installed at the tail end of the mist outlet pipe, and the respiration adjusting assembly is installed between the respiration piece and the mist outlet pipe; the breathing adjusting assembly comprises an adjusting and controlling part and a flow guiding part, an airflow sensor used for monitoring the breathing direction and the airflow quantity and a flow guiding blade used for guiding the airflow direction are arranged in the flow guiding part, adjusting and controlling blades used for adjusting and controlling the inspiration resistance are arranged in the adjusting and controlling part, and the adjusting and controlling blades can adjust the shape according to signals fed back by the airflow sensor. Therefore, the breathing resistance is increased or reduced. The breathing state is monitored through the air flow sensor, the resistance is dynamically adjusted through the breathing adjusting assembly, a child is guided to form a slow and deep standard atomization breathing rhythm in cooperation with seeing and hearing of the display screen, turbulent flow is avoided through the flow guide blades, fog particles are pushed to directly reach the lung, and meanwhile expired air is prevented from polluting medicine liquid.

There is disclosed a diaphragm for a lung demand regulator device, the diaphragm comprising: a first face and a second face, the diaphragm being configured to move responsive to a pressure differential between the first and second faces; an opening extending between the first face and second face; and a non-return valve configured to control gas flow through the opening; wherein the non-return valve is biased to prevent all flow through the opening whilst the pressure differential is below a threshold and permit flow from the first face to the second face whilst the pressure differential is above a threshold. Also disclosed is a lung demand regulator device comprising a diaphragm and a breathing apparatus.

The invention relates to the field of intelligent medical treatment, in particular to a percutaneous lung channel acupoint electrical stimulation optimization system based on artificial intelligence, which comprises a multi-source data acquisition module (M1), a dynamic modeling module (M2) and a self-adaptive electrical stimulation module (M3). M1, collecting lung channel acupoint skin impedance, infrared thermal imaging, respiratory rhythm and cough frequency data in real time, and generating multi-source fusion features through space-time alignment; m2, based on a deep learning model, combining with a preset database to dynamically generate an electrical stimulation parameter combination, and ensuring parameter safety through impedance calibration and constraint optimization; and M3, adjusting the stimulation intensity according to the parameters, and setting an impedance threshold to trigger power-off protection. The traditional Chinese medicine meridian theory and the AI algorithm are fused, accurate acupoint positioning, personalized electrical stimulation and dynamic safety regulation are achieved, and the respiratory system disease treatment effect is improved.

The utility model discloses a rehabilitation training device for nursing chronic obstructive pulmonary disease, a pedaling device comprises a mounting frame and a linkage assembly, and the mounting frame is arranged on the other side of a support frame; the linkage assembly is rotatably arranged in the mounting frame; the breathing device comprises a breathing box, a breathing assembly, a hose and a mask, and the breathing box is arranged on one side of the top of the mounting frame; the breathing assembly is arranged in the breathing box, and the breathing assembly is connected with the linkage assembly; one end of the hose is connected with the breathing assembly; the mask is connected with the other end of the hose; the control system comprises a microprocessor, and the microprocessor is arranged in the breathing box and connected with the breathing assembly. Therefore, the device combines pedaling and breathing training, strengthens lower limb strength and improves the breathing function, the linkage assembly ensures synchronization of the pedaling and breathing training, the training effect is improved, the built-in control system monitors breathing in real time, the training intensity is automatically adjusted, safety and comfort are guaranteed, and the training effectiveness and patient compliance are improved.