6 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.

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 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.