9 results about "Respiratory effect" patented technology

The present invention relates to the technical field of laparoscopic image annotation, and specifically to a laparoscopic real-time identification method for ovarian endometriosis cysts. The present invention first analyzes the possibility of the existence of false boundaries in the suspected cyst area divided by a preset segmentation model in combination with the position and structural characteristics of false boundaries, and determines the boundary correction coefficient of each suspected cyst area in each frame of the image; further, each suspected cyst area in each frame of the image is divided into several local areas, and a detailed analysis of the suspected cyst area is performed in combination with instrument traction and respiratory effects, and the cyst confidence of each local area is evaluated as a microcyst. Finally, the segmentation parameters of the segmentation model are comprehensively adjusted to accurately segment and annotate the real cyst area, thereby improving the recognition effect of ovarian endometriosis cyst lesions.

The present invention relates to the field of image analysis, and more specifically to a method and system for intelligently processing barium meal angiography images of patients in the Department of Gastroenterology. The method first obtains each frame of a scanned image of the digestive tract of a patient taking a barium sulfate suspension, as well as a respiratory signal from the patient's chest area. The respiratory signal is periodically segmented to obtain the exhalation and inhalation periods of each respiratory cycle, and characteristic pixel points on the digestive tract contour line in each frame of the scanned image in the target respiratory cycle are extracted. The respiratory influence of the target respiratory cycle is then obtained. The position of the pixel points of each frame of the scanned image is adjusted based on the changes in respiratory amplitude data in each sub-period, the respiratory influence of the target respiratory cycle, and the sequence number of each frame of the scanned image in each sub-period. All the adjusted scanned images obtained are then integrated into an adjusted scan video. The present invention can reduce the movement of the digestive tract region in the scanned video caused by respiration, facilitating the observation of the digestive tract structure.

Compounds, methods, and pharmaceutical compositions for modulating SMN2RNA and / or protein in a cell or subject are provided. Such compounds, methods, and pharmaceutical compositions are useful for ameliorating at least one symptom of a neurodegenerative disorder. Such symptoms include: reduced muscle strength; a person cannot sit straight, stand and / or walk, or the ability thereof is reduced; neuromuscular activity is reduced; the electrical activity of one or more muscles is reduced; the respiratory action is reduced; without help, no eating, drinking and / or breathing or its ability is reduced; weight loss or weight gain reduction; and / or the survival rate is reduced.

The present application provides a method for training a discriminant model, a method for discriminating a respiratory effect, and a device thereof. The training method includes: obtaining a video set to be trained, and the coding information and classification labels of the video frames in the video set; obtaining a continuous sampling frame group in the video set based on the coding information of all video frames, wherein the coding information of at least one video frame in the continuous sampling frame group is preset coding information; obtaining multi-dimensional features of the continuous sampling frame group; and training a respiratory effect discriminant model based on the continuous sampling frame group and its multi-dimensional features and classification labels. In the above manner, the training method of the present application trains the discriminant model through multi-dimensional respiratory effect influence indicators, so that the discrimination of the respiratory effect is more accurate.

The invention discloses a land ecosystem carbon source sink assimilation prediction method and device based on adaptive moment estimation, equipment and a medium. The method comprises the following steps: collecting a meteorological data set; the meteorological data set is input into the optimized carbon cycle model to predict the carbon flux, the carbon cycle model comprises a photosynthesis model and a respiratory action model, the photosynthesis model is used for obtaining photosynthesis flux, and the respiratory action model is used for obtaining respiratory action flux; wherein the optimization process of the carbon cycle model comprises the following steps: carrying out data assimilation on model parameters of the carbon cycle model by adopting an adaptive moment estimation algorithm, and constraining carbon flux to obtain an initially optimized carbon cycle model; fitting photosynthesis flux and respiratory flux based on the carbon cycle model of the initial optimization model parameters, and automatically constraining flux sum with poor fitting effect according to the fitting effect to obtain a final optimized carbon cycle model.

The invention relates to the field of image analysis, in particular to an intelligent processing method and system for barium meal radiography images of patients in the digestive department. The method comprises the following steps: firstly, acquiring each frame of scanning image of the digestive tract of a patient taking a barium sulfate suspension and a respiratory signal of the thoracic cavity part of the patient, and periodically segmenting the respiratory signal to obtain an expiration time period and an inspiration time period of each respiratory cycle; and extracting feature pixel points on the alimentary canal contour line in each frame of scanning image in the target respiratory cycle so as to obtain the respiratory influence degree of the target respiratory cycle, and according to the change of the respiratory amplitude data of each sub-period, the respiratory influence degree of the target respiratory cycle and the serial number of each frame of scanning image of each sub-period, calculating the respiratory amplitude of the alimentary canal contour line in the target respiratory cycle. And adjusting the positions of the pixel points of each frame of scanning image, and integrating all the obtained adjusted scanning images into an adjusted scanning video. According to the invention, the motion phenomenon of respiratory action on the alimentary canal area in the scanning video can be weakened, and the alimentary canal structure can be observed.

The application discloses a method and device for determining respiratory mechanics parameters of a breathing system, and relates to the technical field of breathing machines. The method comprises the following steps: constructing a mathematical model of a breathing system including an inspiration stage and an expiration stage according to real-time collected airway pressure and airway flow; unknown quantities in the mathematical model of the breathing system include respiratory mechanics parameters and equivalent pressure of active breathing of a patient; the respiratory mechanics parameters include resistance in the inspiration stage, resistance in the expiration stage, elasticity in the inspiration stage and elasticity in the expiration stage; constructing an objective function of the mathematical model of the breathing system; the value of the objective function is the sum of squares of differences between real-time collected airway pressure in a set time period and airway pressure calculated through the unknown quantities; solving the unknown quantities in the objective function based on a set constraint condition to minimize the value of the objective function; the set constraint condition includes setting of a size relationship of the unknown quantities in the inspiration stage and the expiration stage. The application improves the accuracy of respiratory parameter estimation.

A wrist or finger mounted wearable device and method for determining a state or activity level of the autonomic nervous system, such as the respiratory rate or activity of the vagus nerve. The wearable device having at least a pair of electrocardiograms (ECG) measurement electrode pads configured to perform hand-to-hand ECG measurements. The device or method including monitoring of the pair of ECG measurement pads at a first time period to arrive at a first reading of hand-to-hand ECG, and at a second time period to arrive at a second reading of hand-to-hand ECG. The device or method analyzing the first and second readings of ECG to arrive at various indications of the state of a user.

The invention relates to the technical field of heart blood puncture, and particularly discloses a cardiovascular intervention puncture device for medical diagnosis and treatment, which comprises a lower base, the lower base comprises a lower support plate, the bottom of the lower support plate is provided with a lower connecting hole, and the top of the lower support plate is provided with an upper support; the lower base is movably connected with the upper support through a height adjusting rod, an arc-shaped frame and an operation panel are installed between the two lower supporting plates, and an adjusting assembly is installed on the front face of the operation panel. By arranging an arc-shaped frame, when the thoracic cavity floats up and down due to breathing of a patient, the thoracic cavity applies upward acting force to an operation panel, an arc-shaped supporting plate relatively slides downwards in a moving cavity, an ear plate compresses a first spring, and meanwhile a tooth groove in the bottom of the arc-shaped supporting plate drives a first gear to rotate; the protection plate downwards exerts pressure on the two sides of the patient for protection, friction force is increased, and the puncture position in the operation is stabilized by itself through the breathing action of the patient.