79 results about "Respiratory phase" patented technology

The invention relates to the technical field of bio-electricity signal acquisition, and particularly discloses a multi-channel bio-electricity signal acquisition system and a multi-channel bio-electricity signal acquisition method.The multi-channel bio-electricity signal acquisition system comprises a bio-electricity signal acquisition unit and a data processing unit; the data processing unit is used for compensating the original electrophysiological signals according to the real-time impedance value transmitted by the analog-to-digital conversion unit, performing primary screening on the original bio-electricity signals through the lowest quality threshold value, and performing primary compensation on the original bio-electricity signals according to the real-time impedance value, the standard impedance value and the breathing phase; according to the method, more flexible quality requirement setting is realized, the quality threshold setting difficulty is reduced, secondary screening is performed on the corrected bio-electricity signals through the highest quality threshold, and secondary compensation is performed on the corrected bio-electricity signals by adopting the LSTM network, so that the influence of bio-impedance fluctuation on the bio-electricity signals is reduced, and the quality of the bio-electricity signals is improved. And the acquisition quality and stability of the bio-electricity signals are improved.

The invention discloses a tumor respiratory movement trajectory prediction method and system based on spatio-temporal feature separation LSTM, and the method comprises the following steps: collecting a four-dimensional CT respiratory cycle image, extracting a tumor centroid coordinate, and generating a standardized tumor centroid coordinate sequence through sliding window standardization; the method comprises the following steps: inputting bidirectional LSTM to calculate Euclidean distance screening features and weighting to generate a weighted spatial feature vector sequence, extracting time recursion feature weighted fusion through one-dimensional convolution and unidirectional LSTM, predicting a tumor motion trajectory through autoregression, and comparing real-time coordinate correction to generate an adaptive correction trajectory prediction result. A four-dimensional image sequence is extracted and standardized through registration, a two-way network is combined to calculate two-way distance features to recognize breathing phase changes, spatial-temporal features are fused to establish a nonlinear recursive relation to capture tumor motion differences, real-time correction optimization is achieved through deviation statistics and weight self-adjustment, and prediction stability and trajectory fitting precision are improved.

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.

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 high-frequency full-chest oscillation sputum excretion method and system based on clinical data self-adaptive regulation and control, and the method comprises the steps: building an individualized propagation model of thorax and lung tissues through collecting individualized clinical data of a patient and chest multipoint acoustic and mechanical short-range response; the current body position of a patient is input into the model, a chest drainage path is obtained, oscillation control parameters are generated under the constraint of the path, and the oscillation control parameters are used for driving equipment to synthesize pressure traveling waves which are directionally propagated in multiple areas of the chest wall. In the execution process, safety gating control is conducted in combination with electrocardio and breathing phases, meanwhile, aerosol echoes and high-frequency impedance disturbance are collected to serve as feedback signals, and feedback data are formed after the feedback signals are aligned with an execution time sequence and used for dynamically updating the individualized propagation model and oscillation control parameters. According to the invention, accurate regulation and control can be carried out according to individual differences and real-time physiological statuses of different patients, the sputum drainage effect is effectively enhanced, the safety and comfort of treatment are improved, and the clinical application value is high.

The invention relates to the technical field of respiratory function monitoring, and discloses a pulmonary ventilation blood flow distribution real-time monitoring method and evaluation system based on a sensor. The method comprises the following steps: acquiring multi-modal data such as a blood oxygen saturation waveform, an airflow rate waveform and a thoracic pressure waveform of a lung area; performing time synchronization processing on the data to generate a time alignment sequence; dividing the data into an inspiration phase, an expiration phase and a transition phase according to a preset rule; extracting time-frequency domain features from each phase segment, and constructing a multi-dimensional respiration feature matrix; identifying an abnormal breathing mode and marking an abnormal section through breathing phase switching frequency analysis; decomposing the normal segment feature matrix by using a lung pathological feature library to generate a pathological feature vector; a pathological feature vector is optimized through a ventilation and blood flow coupling model; and carrying out abnormal region positioning based on the lung pathology propagation network, and generating a lung partition function evaluation result. The method realizes non-invasive and real-time monitoring, and is suitable for scenes such as clinical monitoring and rehabilitation evaluation.

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.

This invention provides a four-dimensional CT reconstruction method based on real-time kV image-driven reconstruction, including data preprocessing and four-dimensional CT reconstruction. Data preprocessing includes respiratory phase synchronization, spatial resampling, and geometric consistency registration and clipping. Four-dimensional CT reconstruction is implemented using a deep learning model based on a three-dimensional U-Net architecture. The model training adopts a supervised learning paradigm, using normalized prior three-dimensional CT volume data and corresponding two-dimensional kV projection images as joint inputs. Through multi-scale feature encoding and decoding structures, the model learns the mapping relationship between the two-dimensional projection images and the three-dimensional volume data, thereby predicting and outputting the three-dimensional CT volume data under the current respiratory phase. This application achieves an end-to-end closed loop from two-dimensional projection to four-dimensional CT to dose assessment, reducing the radiation dose required for image reconstruction, improving reconstruction speed, and ensuring spatial accuracy and temporal continuity, possessing feasibility and practical value for clinical application.

This application relates to a continuous positive airway pressure (CPAP) device and a method for controlling ventilation pressure. The minimum operating pressure is determined by acquiring a preset treatment pressure and a target pressure drop. The device monitors the patient's respiratory phase transitions in real time and employs different pressure regulation strategies for the inspiratory and expiratory phases. During the inspiratory phase, the ventilation pressure is smoothly adjusted from the preset treatment pressure to the minimum operating pressure and maintained to reduce inspiratory effort. During the expiratory phase, the ventilation pressure is gradually increased from the minimum operating pressure to ensure that the ventilation pressure returns to the preset treatment pressure at the end of the expiratory phase, maintaining airway support and avoiding the risks of airway closure and central apnea. This application improves patient comfort during CPAP therapy, enhances treatment compliance, and simultaneously ensures airway support while reducing the risks of airway closure and central apnea.

Systems, methods, and media are provided for image correction of magnetic resonance images (MRIs). Operations include capturing image data using a medical imaging system, and identifying respiratory principal components and cardiac principal components from the image data. The operations also include classifying the cardiac principal components based on whether the cardiac principal components are associated with expiration events or inspiration events of the respiratory principal components, and generating corrected cardiac images using the classified cardiac principal components.

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.

Disclosed in the present invention are a motion management method and system, and a related device, which relate to the technical field of radiotherapy. The system comprises: a real-time imaging module used for acquiring a body surface contour of a patient in real time and acquiring a respiratory curve of the patient according to the body surface contour, the body surface contour being used for auxiliary positioning of the patient; and a 4D acquisition module used for sending a time signal to a sliding gantry CT according to the respiratory curve of the patient to establish a respiratory phase synchronization timing sequence, wherein when a treatment couch is at a scanning position of the sliding gantry CT, according to a real-time respiratory signal of the patient, 4DCT images or breath-hold images of the patient in different respiratory phases are acquired using the sliding gantry CT. The 4DCT images or the breath-hold images are used for registration with a positioned 4DCT image, thereby overcoming the drawbacks that previously only tumor images at a certain respiratory phase are obtainable and the images are prone to motion artifacts, resulting in errors in registration. As a result, the registration accuracy of a tumor that is greatly affected by respiratory motion is improved, and the clinical efficiency is enhanced.

The application discloses an X-ray scanning imaging method based on an X-ray flat panel array, relates to the technical field of scanning imaging, and breaks through the traditional dose constraint by simulating high dose noise characteristics in a projection domain based on virtual dose enhancement; based on dynamic registration of bone probability weighting, the method eliminates the blurred edge of a vertebral body caused by respiratory displacement without the need of external sensors or patient cooperation; by means of an iterative weight shrinkage mechanism, a weighted total variation model can inhibit soft tissue noise while preserving micron-level features such as bone trabeculae, and over-smoothing distortion is avoided; frame frequency control in a respiratory phase is self-adaptive, compatible with existing flat hardware, and can directly upgrade existing equipment, thereby reducing hospital procurement costs.

Described herein are a system and a method for automatically guiding and evaluating a user's performance during structured breathing exercise sessions. The system retrieves predetermined breathing patterns, including sequences of inhales, exhales, and breath-holds across one or more rounds. Each round includes at least two stages: a breath-hold stage and a first full breath stage immediately following the breath-hold. The system provides real-time guidance through sensory cues, receives user-initiated or automatic signals marking stage transitions, records the duration of each stage, and determines ideal or target durations. A longer first full breath duration indicates improved breath-hold performance and reduced stress. The system generates a final score for each round by combining breath-hold and first full breath durations, reflecting performance, relaxation, lung function, tolerance metrics, and the like. Aggregate session scores are computed across rounds, offering insights into exercise suitability, session effectiveness, and physiological adaptation over time.

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 relates to the field of intelligent physical training and man-machine interaction, and discloses an interactive martial art immersive teaching system, which obtains macroscopic body movement and microscopic skin vibration signals of a user through a multi-mode acquisition module, and extracts real-time breathing phases in a non-contact manner by using an Euler video enhancement technology and Hilbert transform. On the basis, the system establishes a dynamic coupling mechanism of the breathing phase and the impedance characteristic of the virtual rigid body model, and the dynamic physiological stiffness is used as a physical constraint condition to execute inverse dynamic solution, so that the effective internal stiffness modulated by breathing is quantified. And finally, the immersive feedback module generates a dynamic fluid special effect and tactile feedback according to the gas-force coherence index, and adaptively controls teaching stepping. The technical pain points that in traditional martial art teaching, 'internal strength 'cannot be quantified, and breathing and actions are difficult to cooperate are effectively solved, and digital immersive guiding with shape and gas integration is achieved.

This invention provides a method and system for risk warning of dysphagia based on multi-signal analysis. The method includes: acquiring surface electromyography (EMG) signals, bioimpedance signals, laryngeal vibration signals, and neck microenvironment temperature and humidity signals from the wearer's neck using a flexible wearable sensing unit; using the respiratory phase determined by the neck microenvironment temperature and humidity signals as a time reference, performing time alignment and preprocessing on the multimodal physiological signals to obtain multi-channel time-series data; extracting and fusing features from the multi-channel time-series data to generate a discriminative fusion feature vector; inputting the vector into a pre-trained classification model for real-time inference to identify swallowing function states, including effective swallowing, ineffective swallowing, and suspected aspiration; and generating a graded risk warning signal in response to the identified abnormal states. This invention solves the problems of motion artifact interference and time alignment through multimodal signal fusion and respiratory rhythm calibration, achieving accurate and continuous monitoring of dysphagia risk.

The application relates to the technical field of image processing, and provides a preoperative image registration processing method, device, system and storage medium, which can provide navigation information for intraoperative navigation in the scene of preoperative image guided puncture and lack of intraoperative real-time scanning image. According to each group in the respiratory phase sequence from the respiratory phase change of the preoperative image to the intraoperative respiratory phase, the image statistical shape model and the deformation field statistical shape model are determined according to the two respiratory phases of the group; the image weight of the group is obtained according to the image statistical shape model of the group and the image corresponding to the preceding respiratory phase; the weight proportion coefficient target value of the group is obtained based on the joint of the image statistical shape model and the deformation field statistical shape model of the group, and then the deformation field weight of the group is obtained in combination with the image weight; the deformation field of the group is obtained according to the deformation field weight and the deformation field statistical shape model of the group; and the preoperative image is registered and deformed according to the deformation fields of the groups.

The invention discloses an electronic control method of a medical laser positioning system, which comprises the following steps: a signal acquisition and conversion step: acquiring an optical signal reflected by positioning laser on the body surface of a patient and modulated by respiratory movement, and converting the optical signal into a corresponding sensing electric signal; phase identification: processing the sensing electric signal to identify whether the current respiratory cycle is in a preset stable phase or not; a laser gating step of controlling the output mode of the positioning laser according to the identification result of S2; when the positioning laser is identified to be in the preset stable phase, the positioning laser is controlled to work in a first output mode, and the laser positioning system is upgraded from a passive projection tool to an active system with the physiological signal sensing capacity. By extracting the breathing phase in real time and accurately controlling the laser output mode according to the breathing phase, the system can automatically provide a clear positioning mark at the most stable moment in the breathing cycle.

The invention discloses an intelligent control method and system for a noninvasive respirator, and relates to the technical field of intelligent control of respirators. According to the method, airway flow and pulse wave signals are obtained through signal collection and respiratory phase recognition, the end-expiratory pause time period is positioned, a time-frequency image is constructed and preprocessed to obtain a high-resolution enhanced time-frequency energy image, and cardiac oscillation components are recognized and separated to obtain pure respiratory flow signals. The autonomous inspiration effort is judged through double triggering conditions, and air supply control is achieved; verifying parameters are evaluated and adaptively updated based on the respiratory cycle, and personalized configuration parameters are locked; the problems of false triggering and leakage triggering air supply caused by cardiac airway flow oscillation interference generated by cardiac pulsation in the ventilation process of the noninvasive breathing machine are effectively solved, and the accuracy and reliability of air supply triggering of the breathing machine are remarkably improved.

The present application relates to a kind of based on respiratory compensation's ultrasonic probe contact pressure self-adaptive control method, comprising: obtaining body surface fluctuation and contact pressure signal and generating displacement and pressure data;Displacement data is input into respiratory mode prediction model, extracts current respiratory phase feature and infers the expected fluctuation amplitude of next cycle;If amplitude is over threshold, then based on the displacement trend function generated by phase feature, calculate probe position and pressure compensation amount;Accordingly, instruction drives mechanical arm to maintain contact pressure in preset range.The present application realizes the initiative synchronous servo of probe by predicting body surface fluctuation trend, overcomes the lag defect of passive feedback, effectively improves ultrasonic imaging stability and examination efficiency.

A laryngeal pacemaker is configured for external placement on skin of a patient to produce respiration stimulation signals. An implantable stimulation electrode delivers the respiration stimulation signals to adjacent target neural tissue for vocal fold abduction during respiration of the recipient patient. A triaxial accelerometer produces a body motion signal reflecting energy expenditure of the recipient patient. A respiration sensor includes a flexible skin-transferrable printed tattoo electrode having a tetrapolar configuration for impedance pneumography measurement to produce a sensed respiration signal for the laryngeal pacemaker. The respiration sensor is configured for transfer and release by guided placement from a sensor applicator to the skin at the angulus sterni of the recipient patient. And the laryngeal pacemaker is configured to interpret the body motion signal and the sensed respiration signal to make a real time determination of respiratory phase and frequency for adaptively adjusting the respiration stimulation signals accordingly.

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.

The utility model provides a rhinobyon assembly, nasal oxygen tube and ventilation treatment equipment, relates to medical instrument technical field, rhinobyon assembly includes rhinobyon main part and a pair of nasal fork tube, the rhinobyon main part is used for being connected with the intake tube, the pair of tubular nasal fork is connected with one side of the rhinobyon main part at interval so as to be communicated with the intake tube through the rhinobyon main part, the nasal plug assembly is characterized in that the nasal plug assembly is used for an open type air path, air resistance pieces are arranged on the two nasal fork tubes, and the air resistance pieces protrude in the radial direction of the nasal fork tubes and are used for blocking overflowing air between the nasal fork tubes and the nostrils of a wearer when the nasal plug assembly is worn. The nasal oxygen cannula comprises the nasal plug assembly. The ventilation treatment equipment comprises the nasal oxygen cannula. The air pressure change in a breathing loop between the expiration stage and the inspiration stage of a patient can be increased, the distinguishing capacity of the equipment for the breathing stage of the patient is improved, more accurate air supply control is achieved, more comfortable high-flow humidifying oxygen therapy experience is provided for the patient, and air is saved to a certain extent.

A cardiorespiratory monitoring device, configured to: receive sensor data comprising cardiac data and respiratory data for a subject; determine a respiratory sinus arrhythmia, RSA, value based on the cardiac data and the respiratory data: determine a cardio-respiratory phase synchronisation, CRPS, value based on the cardiac data and the respiratory data; and output a health indication for the subject based on the RSA value and the CRPS value.

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 invention discloses an AI sleep monitoring intelligent ring based on dynamic breath feedback and a health early warning system, and relates to the technical field of intelligent wearable equipment, and the AI sleep monitoring intelligent ring comprises an acquisition module which is used for acquiring photoelectric volume pulse waves, skin electrical activity and body temperature and body movement signals during sleep; the respiratory phase module extracts and constructs a time alignment frame of respiratory rhythm synchronization based on photoelectric volume pulse waves, the phase segmentation alignment and signal enhancement module performs specific filtering enhancement on multi-mode signals according to respiration, the enhanced signals are guided into the recognition module, a personalized health reference module is established by combining results, the physiological state is monitored in real time, and the recognition module is used for recognizing the physiological state. And when the reference is deviated, the health early warning module is triggered, the personalized respiration guiding module is started according to the abnormal type, the respiration rhythm is adjusted through tactile feedback, the guiding intensity is dynamically adjusted according to the intervention effect, progressive separation is achieved, new data is fed back to the personalized health reference model, and continuous self-adaptive updating is completed.

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.