132 results about "RESPIRATORY MOVEMENTS" 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 invention relates to the technical field of medical image information processing, discloses an ICG fluorescence image and MRCP three-dimensional model registration fusion display method and system, effectively solves the problems of deep biliary tract structure blurring and form distortion caused by liver tissue scattering effect in intraoperative fluorescence imaging, uses a preoperative model as anatomical prior, and improves the accuracy of the intraoperative fluorescence imaging. A viewpoint correlation optical path depth field is constructed through reverse ray tracing, a spatial variation point spread function is generated accordingly, physical reverse recovery of scattering halo in a fluorescence image is achieved, non-specific background noise such as vascular leakage is effectively inhibited in combination with topological gravitational constraint of a central skeleton, and the detection accuracy is improved. The real pipe diameter and the center line position of the deep bile duct are accurately recovered, non-rigid registration correction is performed on the three-dimensional model based on the recovered high-fidelity image, and projection errors caused by respiratory movement and soft tissue deformation are eliminated.

The invention provides a thoracic surgery respiratory training system and method, and the method comprises the steps: constructing a respiratory-physiological feature tensor through the time sequence change of a respiratory airflow parameter during respiratory training in combination with the fluctuation feature of blood oxygen saturation in the respiratory training process, and carrying out the space-time convolution fusion of the respiratory-physiological feature tensor and a chest respiratory movement track, obtaining a respiratory efficiency index; constructing a taboo risk vector based on the risk relationship map of the thoracic surgery postoperative complications and the electronic medical record of the target user, and generating a complication risk entropy of the target user under the current respiratory training according to the taboo risk vector in combination with the pain tolerance physiological data; and according to the respiratory efficiency index and the complication risk entropy, determining a dynamic adaptation margin of the target user to current respiratory training, and based on the dynamic adaptation margin, dynamically adjusting the training resistance of the self-adaptive resistance adjustment respiratory training device. By the adoption of the scheme, a multi-dimensional respiratory training feedback mechanism can be constructed to conduct self-adaptive adjustment on the training resistance.

A respiratory motion plane alignment system and method based on ultrasound images is disclosed. The system acquires three-dimensional ultrasound images of respiratory organs at at least two different respiratory phases, calculates the motion direction of the respiratory organs based on the three-dimensional ultrasound images, controls and adjusts an ultrasound direction adjustment mechanism to align the scanning plane of the ultrasound probe with the motion direction of the respiratory organs, acquires a three-dimensional model image of the respiratory organs and multiple frames of real-time two-dimensional ultrasound images, performs registration between the multiple frames of real-time two-dimensional ultrasound images of the respiratory organs, and / or registers the three-dimensional model image and the multiple frames of real-time two-dimensional ultrasound images, acquires three-dimensional position data of a target point during respiratory motion, determines the tracking path of the ultrasound probe based on the three-dimensional position data of the target point during respiratory motion, and controls the ultrasound probe to move along the tracking path, thereby achieving long-term stable observation or tracking of target points in the respiratory organs.

The invention discloses a three-dimensional in-vivo radiotherapy dose monitoring method and system, and the method comprises the steps: collecting an image sequence {In} containing time dimensions at a theta t time interval through CBCT scanning equipment in a radiotherapy process; calculating target area displacement of adjacent frames of images in the image sequence {In} by using a bidirectional optical flow estimation method; state estimation and prediction are carried out on the displacement data based on an adaptive Kalman filtering algorithm, a dynamic displacement rule of the target area in the respiratory cycle is generated, and a respiratory movement prediction result is output; acquiring radiotherapy plan parameters from a radiotherapy plan system, and calculating planned dose distribution without considering respiratory movement; dynamically adjusting a ray transmission path and energy deposition according to a respiratory movement prediction result, and calculating real-time dose distribution of each respiratory time phase; mapping the dose distribution of each time phase to a reference time phase coordinate system to generate accumulated dose distribution; and comparing and verifying the accumulated dose distribution and the planned dose distribution.

The invention relates to a respiration guiding system for image examination, which is applied to the technical field of image examination and comprises a respiration monitoring module, a patient feedback module, a control processing module and a physician interaction terminal, a plurality of different target breathing waveforms are pre-stored in the doctor interaction terminal, the control processing module generates real-time breathing waveforms based on breathing waveform signals, time synchronization is conducted on the target breathing waveforms and the real-time breathing waveforms, then the patient feedback module and the doctor interaction terminal are controlled to be displayed in a parallel comparison mode, and a patient is guided to adjust breathing. According to the invention, through ''physician-system-patient'' three-element closed-loop interaction, respiratory training and pre-judgment before scanning and continuous guidance and stable maintenance during scanning are realized, so that the success rate of first scanning is improved, the number of times of repeated scanning is reduced, and the radiation dose risk and medical cost of a patient are reduced.

A wearable device (100) for monitoring cardiac function during apnoeic episode. Wearable device including ballistocardiography (BCG) sensor (102A) to measure mechanical forces generated by heart and respiratory movement; electrocardiography (ECG) sensor (102B) to measure electrical activity of heart; and processor (102C) operatively connected to BCG sensor and ECG sensor to generate BCG data from measured mechanical forces and ECG data from measured electrical activity, respectively. Processor configured to: filter respiratory signals and heart signals from BCG data; detect apnoeic episode based on low respiratory signals or absence of respiratory signals for predetermined time period in filtered BCG data; determine compensatory mechanical output of heart using at least one of filtered BCG data or ECG data for apnoeic episode, and predict risk of cardiac condition based on compensatory mechanical output during apnoeic episode. Also a system (300) and method thereof.

The invention relates to the technical field of hydrops quantitative evaluation, and discloses an ultrasound-based pleural hydrops quantitative evaluation system, which comprises an image acquisition module, a boundary division module, a trajectory analysis module, a feature judgment module, a mode classification module and a quantitative evaluation determination module, the positioning module is used for positioning an area which deforms along with breathing movement in the ultrasonic image sequence, and dividing a suspected effusion cavity boundary based on the consistency of a deformation mode; the trajectory analysis module is used for analyzing moving trajectories of the suspected effusion cavity boundary at different breathing phases and extracting regularity features and amplitude change features of the moving trajectories; the feature judgment module is used for judging the mechanical coupling state of the suspected effusion cavity and the surrounding lung tissue according to the combination of the regularity feature and the amplitude change feature; according to the method, the comprehensiveness and accuracy of quantitative evaluation of the pleural effusion are remarkably improved, and a more valuable decision basis is provided for clinical diagnosis and treatment.

To perform synchronous reconfiguration to the periodic movement of a subject without using an external device.SOLUTION: A nuclear medicine diagnosis device analyzes a respiratory movement from list mode data of scanning in which the respiratory movement and heart beats occur, divides the list mode data for every respiratory phase to create first images, analyzes the heart beats for every respiratory phase, creates second images from data obtained by dividing the list mode data for every respiratory phase and data obtained by the division for every heart beat phase, acquires at least one of a first motion vector between the respiratory phases and a second motion vector between the heart beat phases, and applies the first motion vector to the second images and adds up the images, for every group of the second images different in the respiratory phase from each other and common in the heart beat phase, to create a first single phase image corresponding to a specific phase, or applies the motion vector to the second images and adds up the images, for every group of the second images different in the heart beat phase from each other and common in the respiratory phase, to create a second single phase image corresponding to the specific phase.SELECTED DRAWING: Figure 9

The application discloses an old person free breathing coronary artery scanning image lesion analysis system and relates to the technical field of scanning image lesion analysis. In order to solve the problem that the accurate condition of a patient cannot be obtained according to a scanning image. The application adopts a diameter method, an area method and a contrast agent filling condition to judge the stenosis degree and the hemodynamic change, analyzes the lesion from the morphological and functional double angles, provides comprehensive information for clinical decision-making, identifies the R wave peak value and divides the cardiac phase, matches the respiratory signal and the projection data in time, can accurately capture the characteristics of the heart in different motion states and the respiratory stage, effectively avoids the interference of the artifacts caused by the heart beat and the respiratory motion, makes the reconstructed image clearer and more accurate, sets the CT and the injector parameters in sequence from the scanning type confirmation, each link is closely related and the target is clear, improves the work efficiency, and is convenient for quality control and process management.

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.

FIELD: cardiology.SUBSTANCE: used as a component of the first stage of cardiac rehabilitation in patients with chronic heart failure (CHF), as well as an auxiliary component at all stages of cardiac rehabilitation. Warm-up exercises are performed – stretching exercises and movements in the joints of the upper body, followed by a basic set of breathing exercises lasting from 15 to 30 minutes, at least once a day, at least 5 days a week, for at least 8 weeks. At the first stage, the main set of exercises includes four exercises performed in sequence: abdominal breathing, chest breathing, breathing involving the shoulder muscles, breathing slowing. The first three exercises are performed for 5–10 breathing cycles with an interval between exercises of at least 1 minute, the fourth exercise contains 5–15 cycles, where each cycle includes an inhalation through the first nostril, followed by an exhalation and inhalation through the second nostril, then an exhalation through the first nostril . In the second and subsequent stages, the main set of exercises includes two exercises performed sequentially: an exercise for full breathing and an exercise for slowing down breathing. The full breathing exercise involves sequentially performing abdominal breathing, chest breathing, and breathing with the involvement of the shoulder muscles throughout one inhalation. The exhalation is performed in reverse order. The number of cycles of the full breathing exercise at the second stage is 15–20. The duration of each stage is at least 2 weeks, where at each subsequent stage, starting from the second one, the duration of the exercises performed in the main complex is increased by increasing the number of exercise cycles. Also the duration of inhalation and exhalation is increased when performing exercises to slow down breathing. The method improves the biomechanics of breathing: increases the depth of breathing, reduces the frequency of respiratory movements, increases the efficiency of breathing and reduces the activity of the inspiratory metaboreflex.EFFECT: exercise tolerance in patients with CHF improves.3 cl, 6 dwg, 3 ex

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.

The invention discloses an ultrasonic self-adaptive scanning method and system for EIT dynamic path planning, and belongs to the technical field of medical imaging. Reconstructing an impedance distribution image in real time based on EIT and detecting an abnormal region; the coordinates of the abnormal area are mapped to an ultrasonic coordinate system, and breathing phase compensation is carried out; planning an ultrasonic beam scanning path according to clinical constraint conditions; controlling the ultrasonic beam to scan along the planned path; performing image analysis on the scanning area; and updating system parameters according to an analysis result. According to the method, abnormal coordinates detected by EIT are accurately converted into an ultrasonic beam deflection angle, clinical constraint path planning of a high-cost area of a rib shielding area and breathing phase dynamic compensation taking end expiratory as a benchmark are combined, so that the system realizes full-closed-loop control from abnormal sensing, path planning to beam execution, and the accuracy of the system is improved. The problems of scanning failure caused by rib shielding and coordinate drifting caused by respiratory movement in clinic are effectively solved, and the reliability of dynamic monitoring of the thoracic cavity is remarkably improved.

The invention provides a respiratory-gating-free free-breathing liver glycogen quantitative magnetic resonance imaging method and system, and the method comprises the steps: applying a chemical exchange saturation transfer imaging sequence to a liver region of a subject, and the imaging sequence comprises saturation pulses of a plurality of saturation frequency deviation points; a radial blade type k-space acquisition strategy is adopted to acquire magnetic resonance signal data, the radial blade type k-space acquisition strategy comprises a plurality of blades, each blade is composed of a group of parallel k-space lines, and different blades are rotationally distributed by taking the k-space center as a rotating shaft; performing image reconstruction on the acquired k space data to obtain magnetic resonance images under different saturation frequency deviations; and performing fitting analysis on the magnetic resonance image by adopting a multi-pool Lorentz model to obtain quantitative information of the liver glycogen. According to the method, the interference of respiratory movement on the CESTMRI data acquisition process can be eliminated, so that the accurate quantification of the liver glycogen in the free respiration state is realized.

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 embodiment of the application provides a cascade anti-interference circuit suitable for an electrocardio monitoring device, which comprises a sliding mean filter module, a notch filter module, a lifting wavelet decomposition module, a threshold calculation module, a threshold processing module and a lifting wavelet reconstruction module; while ensuring a small circuit scale, the ECG signal collected by the wearable electrocardio monitoring device is subjected to hierarchical noise reduction processing, and high signal-to-noise ratio ECG signal output is realized; for the ECG signal collected by the wearable electrocardio monitoring device, first, sliding mean filtering is performed to filter out baseline drift noise caused by human respiratory movement and other activities; the power frequency interference caused by the wired and wireless connection of the electromagnetic environment around the device is suppressed by using the notch filter module; finally, wavelet noise reduction is realized by using the lifting wavelet decomposition and reconstruction and threshold noise reduction method, the electromyographic interference caused by the autonomous or unconscious movement of the wearer is suppressed, and high signal-to-noise ratio ECG signal is output, which is used for physiological parameter extraction and electrocardio diagnosis.

The embodiment of the invention provides a video pig respiration monitoring method and device based on time-frequency domain fusion, and the method comprises the steps: locking a respiration-related region at the chest and abdomen of a pig through a target detection model, building a respiration time sequence signal based on an enhanced respiration movement signal after the weak movement signal related to the respiration in a detection frame is enhanced, and carrying out the detection of the respiration time sequence signal. Secondly, analyzing the respiratory signals in a time domain, obtaining respiratory frequency through peak detection, analyzing the respiratory signals in a frequency domain, and extracting respiratory dominant frequency through Fourier transform; and performing fusion analysis on time domain and frequency domain results to obtain an accurate respiratory rate, further judging whether the respiration of the pig is abnormal according to the respiratory rate, and triggering an alarm under an abnormal condition. According to the method, the problems that single time domain analysis is easily interfered by burrs and single frequency domain analysis is insensitive to local changes can be solved, the accuracy and robustness of pig respiration monitoring are remarkably improved, and the method is suitable for non-contact health monitoring and management in large-scale farms.

The invention discloses a scrotum breathable bracket wrapping dressing, and relates to the technical field of medical instruments, the scrotum breathable bracket comprises a positioning part, a follow-up part and an action part, the positioning part comprises an upper ring, the follow-up part is arranged on the upper side of the upper ring, and the action part is arranged on the lower side of the upper ring; the breathing movement of the bedridden patient is used as a power source; by means of a top ring, pleated cloth, air bins and a push-pull assembly in the follow-up part, the undulating motion of the abdomen is converted into the blowing and sucking effect for driving air to flow, air inlet and air outlet are conducted through the upper air bin and the lower air bin which are different in function, air continuously and actively flows through the acting part attached to the scrotum, and static material air permeability is not depended on. The scrotum mask has the advantages that moisture is evaporated from seepage on the scrotum surface, local metabolism heat is taken away through flowing gas, scrotum skin is kept dry, eczema, ulcer and other complications are prevented and improved, and a dry healing environment is provided compared with static ventilation.

The invention provides a CT imaging control method and a CT imaging control system, and relates to the technical field of medical imaging. By introducing the double X-ray sources and the two flat panel detectors and combining with the 3D optical camera to obtain breathing signals of a patient, CT imaging of the patient in a free breathing state is achieved. In the scanning process, based on real-time breathing signals, the two X-ray sources are triggered in sequence at different rotation angles for exposure, and the double-angle projection data obtained by the corresponding flat panel detectors are read. And reconstructing an organ mask image sequence from the double-angle projection data by using a pre-trained deep neural network, further analyzing the sequence to quantify the amplitude and phase of respiratory movement, distributing respiratory phase values for the projection data with different rotation angles, and classifying the respiratory phase values as gating data frames. And performing image reconstruction on each gating data frame to obtain four-dimensional CT images of different breathing phases. The problem of motion artifacts of the CT image in the free breathing state is solved, so that the image quality and the diagnosis accuracy are improved.

A 4D-CT image reconstruction method. A respiratory curve is obtained from three-dimensional image body surface data acquired by a 3D scanning device, eliminating the need for an additional device to collect respiratory motion information. This makes the operation simpler and prevents patients from experiencing discomfort caused by wearing an additional respiratory device, thereby improving the patient experience, simplifying the doctor's workflow, and to some extent reducing operational errors. Moreover, for thoracic and abdominal radiotherapy, in the process of collecting respiratory data, collection can be performed according to the position where the patient requires radiotherapy. The selected region of interest (ROI) is directly placed in the radiotherapy region, such that the obtained respiratory phase information can more closely conform to the undulating motion of the region to be treated with radiotherapy, and the delineation of the target region can be more precise. This helps reduce the margins around the target region, increase the radiation dose delivered to the target region, and decrease toxic and side effects on normal tissues, thereby improving the precision of radiotherapy.

The utility model discloses a lung tumor puncture positioner which comprises a support, first adjusting positioners are arranged at the two ends of the support respectively, and the first adjusting positioners drive the support to move in the first direction. The breathing suppressor is connected to the support through the first connector, and a third adjusting positioner is further arranged to adjust movement of the breathing suppressor; the support comprises a first support body, a second support body and a third support body, the second adjusting positioner adjusts the joint length of the first support body and the second support body and adjusts the joint length of the second support body and the third support body, the guide rod is connected with a protractor and a puncture needle fixing device, and the fourth adjusting positioner adjusts movement of the protractor. The fifth adjusting positioner adjusts the movement of the puncture needle fixer to limit the respiratory movement of the patient; and the needle inserting point and the needle inserting depth can be found clinically. The puncture accuracy is improved, the operation time of a puncture doctor is shortened, and radiation borne by a patient is reduced.

The application discloses a kind of based on acoustic wave FMCW's respiratory frequency detection method, belong to acoustic wave signal processing technical field;Method is: utilize mobile phone loudspeaker to generate a segment frequency continuous change acoustic wave signal, form continuous acoustic wave detection sequence;Mobile phone microphone receives the acoustic wave signal that is reflected back synchronously;To the acoustic wave signal that is reflected back received filtering processing;With reflected signal, the distance change curve of thoracic cavity with breathing movement is generated by autocorrelation operation to transmission signal;Distance change curve is carried out smoothing processing;The main frequency frequency is obtained by fast fourier transform, and respiratory frequency is calculated.The present application effectively suppresses environmental noise interference by using the advantages of FMCW technology, analyzes the autocorrelation coefficient of reflected signal, accurately extracts the thoracic movement information related to respiration, and realizes the accurate detection of human respiratory frequency;Using autocorrelation function is easier to find peak, more easily tracked nature, greatly increase the convenience of user.

Analog breathing biofeedback device The invention relates to an analog respiratory biofeedback device for visualizing the respiratory rate or breathing movement of a person. characterized by the fact that The breathing movement of the user is detected by a sensor (5) lying on the stomach and lightly attached with a Velcro strap (6). A strain gauge built into the sensor (5) detects the person's breathing movement and transmits the signal to a control unit (7), which amplifies the signal proportionally and passes it on analogously to an LED display (4).

The present application aims to improve the data acquisition efficiency in the imaging using both ECG synchronization and respiratory motion synchronization. During the imaging, the respiratory motion is monitored to detect the start of the respiratory stable period (exhalation). After detecting the R wave, it is confirmed that the respiratory motion immediately before the R wave has transitioned to the respiratory stable period, and the formal measurement is performed at the time when the cardiac phase and the respiratory phase of the subject coincide, and the image data is acquired. The cardiac phase at which the image data is acquired is fixed, and the slice position for the formal measurement is adjusted using the respiratory motion displacement acquired immediately before. Thus, it is possible to acquire image data of two heart rate quantities within the respiratory cycle after entering the stable period while suppressing the influence of motion.

An apparatus and method to mitigate cardiac motion and respiratory motion on geometric measurements of cardiac electrodes. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor configured to receive the at least a position signal comprising a first, second, and third spatial coordinate, and compensate, using a cardiac compensator and respiratory compensator, for respiratory motion, wherein compensating for the respiratory motion comprises calculating at least a velocity signal, using the at least a position signal, extracting, using the cardiac compensator, cardiac motion from the at least a position signal as a function of the at least a position signal and the at least a velocity signal, determining, using the respiratory compensator, a respiratory phase, and extracting the respiratory motion as a function of the respiratory phase.

The utility model relates to the technical field of medical instruments, in particular to a chest drainage catheter capable of being bent and shaped, which comprises a drainage catheter, a medical proof fabric is arranged on the drainage catheter, the drainage catheter is adhered and fixed on the skin on the surface of the chest wall of a patient through the medical proof fabric, and an opening is arranged between two ribs inside the chest wall of the patient. One end of the drainage catheter is inserted into the thoracic cavity through the opening. According to the thoracic cavity drainage catheter capable of being bent and shaped, the shape of the drainage catheter is kept unchanged through shaping of the shaping strips, the drainage catheter can be shaped at a proper drainage position in an operation, and the drainage catheter in the chest cannot shift along with respiratory movement of the thoracic cavity through fixing of the fixing rope and the medical proof fabric; and the drainage catheter outside the chest can also be shaped to be more attached to the chest wall, so that the compression of the drainage catheter on the insertion opening is reduced, and meanwhile, the condition of unsmooth drainage caused by folding of the drainage catheter is prevented.

The application discloses a new-born umbilical protrusion treatment device and method, relates to the technical field of medical devices, and comprises a ring-shaped fixing seat and a first component, wherein the first component comprises a fan beam for adapting to different protrusion sizes and adjusting the surrounding diameter, and the fan beam is rotationally connected with the ring-shaped fixing seat; through the setting of the first component, the precise adjustment of the surrounding diameter is realized through the cooperation of the fan beam and multiple components such as the engaging body, flexible adjustment and rapid locking, and the device is suitable for different specifications of small to large umbilical protrusion cases; meanwhile, the side wing fixing belt is designed by using elastic cloth and magic tape, the tightness can be flexibly adjusted according to the body type of the new-born, and it is ensured that the ring-shaped fixing seat is always attached to the skin and does not affect the respiratory movement during the treatment process; the multi-dimensional adaptive design solves the problem that the size of the traditional device is fixed and it is difficult to adapt to individual differences, and meets the treatment requirements of different new-born umbilical morphologies and changes in the disease.

The present application provides a kind of respiratory motion compensation method based on manifold clustering and weighted sparse, comprising the following steps: collecting the 4D-CT image of population data set and the 3D-CT image of individual subject expiration-inhalation two phases;Obtain the deformation vector field motion characteristics of population data set and individual subject by image registration;Obtain the sub-population data set similar to individual subject motion characteristics based on manifold clustering;The quantitative relationship between individual and sub-population motion characteristics is established by using weighted sparse method, and individual 4D-CT image is constructed;Obtain the internal deformation vector field and external skin surface motion of individual subject, and construct individualized respiratory motion compensation model to realize real-time prediction of lung image.The present application can reduce the radiation damage of the subject while ensuring accurate prediction of lung movement, and is expected to break through the limitations of existing respiratory motion compensation methods, can real-time image prediction for whole lung, reduce the influence of respiratory motion on lung tissue.

The invention relates to the field of medical equipment, in particular to a respiration sensing device and respiration detection equipment. The breathing sensing device comprises a protective shell and a sensing assembly; at least one end of the bandage is provided with a sensing assembly, and the sensing assembly is installed in the protective shell; the induction assembly comprises an elastic inductance detection device and a signal processing module; the bandage is connected with the elastic inductance detection device; the breathing fluctuation part drives the bandage to pull the elastic inductance detection device to stretch out and draw back so as to change the inductance value of the elastic inductance detection device; the signal processing module is electrically connected with the elastic inductance detection device so as to convert the change of the inductance value of the elastic inductance detection device into an electric signal. The elastic inductance detection device and the signal processing module are separated from the bandage, the length of the elastic inductance detection device is shortened, the detection precision of the respiratory movement signal is improved, the bandage can be made of a material with lower cost and stable performance, the cost and noise are reduced, and the accuracy and reliability of monitoring data are improved.