9 results about "Abdominal surface" patented technology

The invention discloses a uterine contraction detection method based on multi-modal signal fusion reconstruction, which comprises the following steps of: 1, synchronously acquiring an abdominal surface uterine electromyographic signal in real time through a high-density electrode array, acquiring a uterine contraction pressure signal in cooperation with a fundus pressure sensor, synchronizing a triaxial accelerometer signal to acquire a maternal motion signal, and preprocessing; 2, performing time sequence alignment and resampling on the data, and constructing a quality mask to form a multi-mode uterine contraction signal data set; 3, constructing a reconstruction network based on multi-modal feature fusion; 4, constructing a total loss function of the multi-modal feature fusion reconstruction network; and 5, training a reconstruction network of multi-modal feature fusion, wherein the reconstruction network is used for fusion reconstruction of the multi-modal uterine contraction data. According to the invention, through multi-modal signal fusion and deep feature correlation analysis, accurate monitoring and prediction of uterine contraction and premature delivery risks in the pregnant and birth period can be realized.

The present application provides a method and system for fusing heterogeneous respiratory motion models based on fuzzy evaluation, the method comprising the following steps: establishing a surface-tumor respiratory motion association model based on a chest and abdominal surface voxel model; obtaining a respiratory motion model by fitting parameters using a genetic algorithm; constructing a fuzzy weight evaluation matrix for the association model and the respiratory motion model based on a fuzzy evaluation method, the evaluation matrix being used to characterize the magnitude of the correlation between the two sets of models and tumor motion at different stages of a single-cycle respiration; and obtaining the weight distribution of the two sets of models at the same moment through the evaluation matrix and performing weighted averaging to obtain the fusion value at that moment. Compared with existing methods, the method proposed in the present application can effectively reduce the impact of respiratory disturbances on patients at the beginning and end of respiration, improve the correlation accuracy of the association model at the beginning and end of respiration, and contribute to improving the correlation accuracy of the surface-in-vivo respiratory motion association model.

This invention relates to the field of intelligent medical monitoring and health data analysis technology, specifically disclosing a method and system for analyzing digestive tract health data. It involves real-time acquisition of differential frequency and sound intensity data generated by intestinal peristalsis using a multi-source sensor array deployed on the abdominal surface. Empirical mode decomposition and Hilbert transform are combined to extract intestinal motility rhythm stability features. Normalization and Haar wavelet decomposition methods are used to calculate the variation features of bowel sound intensity, constructing an intestinal functional state feature vector. This feature vector is input into a health assessment model trained based on a random forest algorithm, outputting individualized digestive tract health scores and health level indicators, and triggering multiple types of abnormal warning signals. This constructs a closed-loop management system from data acquisition and intelligent analysis to risk warning, improving the intelligent level of early identification and health management of digestive tract diseases.

The present application belongs to the technical field of holographic breath analysis, and discloses a non-contact respiratory mechanics reverse reconstruction system based on 4D holographic field perception, which comprises the following steps: receiving the echo sequence of a millimeter wave sparse aperture array to the chest and abdominal area, generating a 4D point cloud sequence of the time-varying shape of the chest and abdominal surface according to frames, and constructing a respiratory observation sequence of the chest and abdominal surface; by analyzing the correlation between the length change attribute of the geodesic line and the energy change attribute of the curvature tensor evolution sequence, a respiratory driving feature is generated; according to the time change of the chest and abdominal area in the respiratory driving feature, an observation confidence is obtained; the respiratory driving feature is input into a reverse reconstruction network containing a nonlinear viscoelastic respiratory dynamics constraint, and a mechanical parameter set of airway resistance and pleural cavity pressure change is output. The present application converts 4D morphological observation into structured boundary excitation, and uses observation confidence to weight the constraint inversion process, enhances the complete expression of inhalation and exhalation driving, and improves the stability and reliability of the mechanical parameter output.

The invention belongs to the technical field of holographic respiration analysis, and discloses a non-contact respiratory mechanics reverse reconstruction system based on 4D holographic field perception. Comprising the following steps: receiving an echo sequence of a millimeter wave sparse aperture array to a thoracico-abdominal region, generating a 4D point cloud sequence of a time-varying form of the thoracico-abdominal surface according to frames, and constructing a respiration observation sequence of the thoracico-abdominal surface; by analyzing the relevance between the geodesic length change attribute and the curvature tensor evolution sequence energy change attribute, respiration driving characteristics are generated; obtaining an observation confidence coefficient according to the time change of the thoracic and abdominal region in the respiration driving characteristics; and inputting the respiration driving characteristics into a reverse reconstruction network containing nonlinear viscoelastic respiration dynamic constraints, and outputting a mechanical parameter set of airway resistance and pleural cavity pressure change. According to the method, 4D morphological observation is converted into structured boundary excitation, and the inversion process is weighted and constrained by observation confidence, so that the inspiration driving expression integrity is enhanced, and the stability and credibility of mechanical parameter output are improved.

A blood vessel segment discrimination system recognizes a three-dimensional structure of an abdomen of the patient, generates a depth image of the abdomen of the patient from the three-dimensional structure of the abdomen of the patient, generates a training data set used for training of a deep learning model, and discriminates an aortic segment of the patient using a trained deep learning model. A training data set generation unit generates the three-dimensional structure of the abdominal surface for learning from an abdominal CT image or the like of a person different from a patient who is a discrimination target of the aortic segment by the blood vessel segment discrimination device, generates a depth image for training from the three-dimensional structure of the abdominal surface for training, and generates a training data set showing a correspondence relationship between each pixel in the depth image for training and any of an aortic Zone 1, an aortic Zone 2, an aortic Zone 3, and another segment other than those Zones, based on the abdominal CT image.

1. The name of the design product: abdominal muscle repair instrument. 2. The use of the design product: collecting abdominal surface myoelectric signal. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The application relates to the field of acupuncture point positioning, in particular to an acupuncture point positioning method for acupuncture and physiotherapy. The method first acquires a plurality of acupuncture points in an abdominal surface image of a patient to be measured and initial coordinates of each acupuncture point, taking the Shenjue point of the patient to be measured as a coordinate origin, and uses a contour scanner to collect a plurality of contour lines of the abdominal surface of the patient to be measured along a body axis direction, analyzes a proportion between distances in the image and actual distances, obtains a proportion coefficient, screens a target contour line passing through a target acupuncture point according to an initial longitudinal coordinate of the target acupuncture point, a proportion coefficient, a moving speed of the contour scanner and a scanning frequency, analyzes a bending degree of a local part of the target acupuncture point on the target contour line, corrects the initial coordinate of the target acupuncture point according to the obtained bending degree, and obtains an adjusted coordinate of the target acupuncture point. The application can reduce deviation of acupuncture point positioning on the abdominal surface of the patient to be measured and improve the accuracy of the acupuncture point positioning.

The utility model relates to a device for assisting colon peristalsis through inflation and deflation of an air bag, and belongs to the technical field of medical instruments. According to the technical scheme, the peristaltic belt is formed by arranging and fixing a plurality of air bags on the inner side of a positioning and fixing belt, and the shape formed by arranging the air bags is consistent with the shape of the colon of the human body; the power transmission and control unit is attached to the belly of a human body through the positioning and fixing belt and connected with the air bags on the peristaltic belt; the multiple air bags generate peristaltic pressure waves consistent with colon peristaltic contraction waves in direction through inflation and deflation. The device has the advantages that the device is attached to the area, reversely projected on the surface of the abdomen, of the colon of a user, the cavity diameter of the pressed area of the colon is decreased and the internal pressure is increased through inflation and deflation of the air bag, under the pressure effect, the content of the colon is pushed to the low-pressure area, and due to the pressure conduction effect of peristaltic pressure waves, the content of the colon is reduced. And the colon content is continuously moved towards the conduction direction of waves, so that the colon peristalsis assisting effect is achieved, and the problem of retention of the colon content in the background is solved.