87 results about "Respiratory Process" patented technology

The utility model provides a tracheal stent structure and an artificial trachea. The tracheal stent structure comprises a main body, the main body comprises a plurality of supporting units which are linearly arranged at intervals; each supporting unit is of a C-shaped structure with an opening, a connecting unit is arranged between every two adjacent supporting units, and each connecting unit is of a structure with a hole. According to the tracheal stent assembly, the bionic tubular structure similar to the tracheal structure of the human body is formed by arranging the structure, so that the contraction and expansion functions can be achieved in the breathing process, and the physiological function requirements are met.

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 invention discloses a thoracoscope-assisted intelligent navigation system and method for thoracic surgery, and the method comprises the steps: recording the respiratory capacity of a patient and shooting a focus image in a breathing state, precisely calculating the position change amplitude and range of a focus in a breathing process, and drawing a dynamic graph for visual presentation; selecting an electromagnetic navigation system positioning method and performing preoperative planning according to lesion characteristics and positions, and adopting a transbronchial or transthoracic navigation positioning technology; wherein different anatomical regions of a human body are divided according to the focus position and the anatomical structure, a navigation path algorithm is planned for each anatomical region, parameters of the electromagnetic navigation system are adjusted according to the characteristics of tissues passed by the navigation path, and final positioning is confirmed; the television is combined with the thoracoscope to assist the thoracoscope, so that the focus is accurately marked and cut off; according to the method, the safety and success rate of the operation are improved, operation wounds are reduced, better treatment effect and experience are brought to patients, and the method conforms to the development trend of precision and intelligence of the medical technology.

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 invention relates to a dynamic lung image intelligent detection method and device, a program product and medical equipment, and relates to the technical field of detection. The method comprises the following steps: acquiring corresponding dynamic diaphragm sequences of a right lung and a left lung in a breathing process; determining a right lung reference diaphragm length according to the shortest length in a first length sequence corresponding to the dynamic right lung diaphragm sequence; on the basis of the right lung reference diaphragm length, a first length except the right lung reference diaphragm length in the first length sequence and a first preset length difference value, determining that other right lung diaphragms are normal or abnormal right diaphragms; determining a left lung reference diaphragm length according to the shortest length in a second length sequence corresponding to the dynamic left lung diaphragm sequence; and on the basis of the left lung reference diaphragm length, a second length except the left lung reference diaphragm length in the second length sequence and a second preset length difference value, determining the other left lung diaphragms as normal or abnormal left diaphragms respectively.

The invention provides a dynamic liver puncture training model under respiratory movement. The dynamic liver puncture training model comprises a liver puncture training model and a respiratory movement training model, the liver puncture training model comprises a simulated thoracic cavity structure, a simulated organ, a liver movement device and a bottom plate, the simulated thoracic cavity structure is arranged on the bottom plate, the simulated organ is arranged on the simulated thoracic cavity structure, and the liver movement device is arranged at one end of the simulated thoracic cavity structure, is connected with the simulated organ and is fixed on the bottom plate; the respiratory movement simulation device comprises a respiratory movement mechanism and is connected with the liver puncture training model; the respiratory movement mechanism comprises a motor, and the motor converts rotary movement into reciprocating pneumatic displacement conforming to physiological laws on the basis of a human respiratory movement mathematical model. Through the liver puncture training model and the breathing movement simulation device, the motor is constrained through a human body breathing movement mathematical model, the influence of liver movement on puncture operation in the breathing process is precisely reduced, and a key technical guarantee is provided for simulating a real operation environment.

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 utility model discloses a tracheal stent, and belongs to the technical field of biomedical prostheses. The tracheal stent is of an open tubular structure with a U-shaped axial cross section, end lugs are arranged at two ports of the open tubular structure, supporting rods are arranged in the end lugs in a penetrating mode, small holes are formed in the tube wall of the open tubular structure, and the tracheal stent is similar to a tracheal cartilage ring. The flexible pipe can be folded and unfolded in the breathing process, the physiological function is met, the mechanical strength and deformation recovery of the flexible pipe can be improved through the end lugs and the supporting rods, and meanwhile tissue adhesion growth is facilitated through the small holes in the pipe wall.

Method and system for simulating and evaluating the flow field of a respiratory gas analysis sampling pipeline of the present invention: performing pre-processing on the geometric model of the oxygen concentration detection host; extracting the internal flow field of the geometric model of the oxygen concentration detection host to establish an internal flow field sampling pipeline model; performing mesh division; setting working conditions; selecting a physical model; setting gas physical property parameters; setting boundary conditions and simulation conditions; setting up and initializing the solution; taking the cross-section formed at the vertical middle position of the mesh model as the monitoring surface, and taking the position corresponding to the gas sensor on the monitoring surface as the monitoring point; setting up iterative calculations; simulating the breathing process within a preset time under the calmest and most intense working conditions, respectively performing transient simulation of the internal flow field of the sampling pipeline on the mesh model, solving the selected physical model using a coupling algorithm, sampling the monitoring surface and monitoring points under the two working conditions during the solution process; obtaining and displaying the simulation results, and analyzing the simulation results to evaluate the advantages and disadvantages of the designed oxygen concentration detection host.

The utility model provides a mask filter layer combining a pi film and melt-blown cloth, which relates to the technical field of masks and comprises a non-woven fabric layer. The upper end position of the non-woven fabric layer is in a corrugated design, the upper end position of the non-woven fabric layer is in press fit with the bottom position of the melt-blown fabric layer with the corrugated lower end, the top position of the melt-blown fabric layer is attached to the bottom position of the p film layer, the left side and the right side of the non-woven fabric layer are each connected with a covered edge in a pressing mode, and the upper position of each covered edge is connected with a hanging rope in a pressing mode. The non-woven fabric layer is provided with activated carbon particles and is provided with abundant micropores, so that the air permeability of a user in the wearing process is more convenient, activated carbon can form a filter layer, the filter layer has a strong adsorption function, and dust adsorption in the breathing process is more convenient. The problems that in the wearing process of an existing mask, breathability is not good, the breathing obstruction effect on a wearer is likely to be caused, and bacteria exist outside, and the bacteria filtering performance of the mask is not stable are solved.

The present invention relates to the technical field of medical image processing. More specifically, it relates to a pulmonary vascular perfusion analysis method based on watershed dynamics, including: acquiring a pulmonary artery vascular tree and a pulmonary arterial CT angiogram; extracting the pulmonary artery vascular tree based on the pulmonary artery vascular tree and the pulmonary arterial CT angiogram; calculating the pressure gradient field inside and on the wall of the pulmonary artery vascular tree based on the pulmonary artery vascular tree; extracting the pulmonary vein watershed based on the pressure gradient field; realizing perfusion analysis by combining dynamic hemodynamic simulation based on the pulmonary vein watershed; evaluating the blood supply of lung tissue based on the perfusion analysis results. By adopting the multi-level connected domain detection method, this method can more accurately extract the complex structure of the pulmonary artery vascular tree. The watershed division method based on the pressure gradient field can more truly reflect the actual distribution of blood flow. The introduction of dynamic blood flow simulation enables this method to comprehensively capture the perfusion changes during the breathing process and provide more comprehensive diagnostic information.

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.