10 results about "Respiratory Process" patented technology

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.

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 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 application relates to the technical field of medical operations, in particular to a contact force guided breath gating system, which solves the problem that the existing breath gating technology in the prior art depends on external equipment such as a depth camera or a breathing machine, which not only increases the complexity of the operation process, but also may introduce the problem of additional uncertainty. The contact force guided breath gating system comprises a contact force sensor for monitoring the contact force between a treatment tool and a patient in real time; a data processing unit for processing the contact force data and judging a breath cycle; and a display interface for displaying key data in the breath process and recommended operation timing. The application can accurately judge the breath cycle of the patient and automatically recommend the best operation timing by monitoring and analyzing the contact force between the treatment tool and the patient in real time.

A method for determining a scaled respiratory flow rate and volume during respiration of a patient includes a) successively determining a plurality of values for a difference between a pressure in at least a first location in an upper respiratory tract of the patient and a reference pressure, b) deriving the scaled respiratory flow rate from the plurality of values for the pressure difference by using a first relationship, c) deriving the scaled respiratory volume from the plurality of values for the pressure difference by using a second relationship, and d) displaying the scaled respiratory flow rate derived in step b) and the scaled respiratory volume derived in step c) or a further variable derived from the scaled respiratory flow rate and volume in a graphical representation. Step a) is performed during tidal breathing of the patient. A system for performing the aforementioned method.

Method for acquiring magnetic resonance data of a target area of ​​a patient moving during respiration using a magnetic resonance device (1), wherein an optical camera (5) arranged in a patient recording of the magnetic resonance device (1) and directed towards the patient is used, wherein image data of the patient acquired by the camera (5) before and / or during the acquisition of the magnetic resonance data are evaluated to obtain respiratory information describing the respiratory state, characterized in that the respiratory information is used to trigger and / or correct movement and / or assess a breath-holding process of a patient, wherein a message is issued to an operator when an interrupted breath-holding process is detected during the acquisition of magnetic resonance data.

The application discloses a chest-abdomen synergic regulation intelligent breathing auxiliary waistband and a synergic control method, which comprises a waistband body, an intelligent sensing and control unit, a thoracic dynamic auxiliary module, a diaphragm activation and abdominal pressure regulation module and a multi-modal physiological signal sensing module; the sensing module is used for acquiring breathing phase signals, diaphragm electromyogram signals and airbag pressure signals; the control unit identifies an inspiration trigger state based on the signals and performs scheduling control with time sequence constraints: first, an electric stimulation signal is output to induce diaphragm contraction, then a support rib support framework is driven to expand and an abdominal pressure regulating airbag is controlled to reduce pressure, so that the thoracic expansion and diaphragm movement are synergically matched; in the expiration stage, a zonal airbag is used to apply a circumferential pressure to assist the thoracic retraction. The application improves the coordination and ventilation efficiency in the breathing process by constructing a chest-abdomen synergic multi-modal intervention mechanism.

The present disclosure relates to a lung ventilation, air retention determination method and device, electronic equipment and storage medium, and relates to the technical field of DR image processing. The lung ventilation determination method comprises: acquiring left lung images and right lung images corresponding to a plurality of DR lung images in a breathing process, a plurality of registration transformation matrices in the breathing process, and a preset air threshold interval; using the plurality of registration transformation matrices in the breathing process, performing registration operations on the left lung images and the right lung images corresponding to the plurality of DR lung images respectively to obtain left lung registration images and right lung registration images corresponding to the plurality of DR lung images; and determining lung ventilation regions corresponding to the plurality of DR lung images at multiple moments in the breathing process based on the preset air threshold interval and the left lung registration images and the right lung registration images corresponding to the plurality of DR lung images respectively. The present disclosure can determine lung ventilation.

The present disclosure relates to a dynamic lung image intelligent detection method and device, a program product and a medical equipment, and relates to the technical field of detection. The method comprises: acquiring corresponding dynamic right lung and left lung diaphragm sequences in a breathing process; determining a right lung reference diaphragm length as the shortest length in a first length sequence corresponding to the dynamic right lung diaphragm sequence; determining other right lung diaphragms as normal or abnormal right diaphragms based on the right lung reference diaphragm length, first lengths in the first length sequence except the right lung reference diaphragm length, and a first preset length difference; determining a left lung reference diaphragm length as the shortest length in a second length sequence corresponding to the dynamic left lung diaphragm sequence; and determining other left lung diaphragms as normal or abnormal left diaphragms based on the left lung reference diaphragm length, second lengths in the second length sequence except the left lung reference diaphragm length, and a second preset length difference.