33 results about "Physiological motion" patented technology

The invention discloses a personalized physical training load intelligent regulation and control system based on multi-modal physiological data fusion, and relates to the technical field of intelligent physical training and health monitoring. The system comprises a multi-modal data acquisition module, an intelligent fusion analysis module, a personalized decision module and a real-time regulation and control module. The method comprises the following steps: acquiring physiological, motion and environmental parameters of a user, and performing multi-modal data fusion by using a time sequence-causal attention mechanism to generate a comprehensive physiological state feature vector; a dynamic personalized baseline is established based on a meta-learning framework, a load adjustment decision is generated by adopting a hierarchical reinforcement learning algorithm, and regulation and control safety is ensured through causal reasoning verification; and finally, load adjustment is executed through the real-time regulation and control module to form closed-loop control. According to the method, the problems that in the prior art, training load regulation depends on a single physiological parameter, the individuation degree is insufficient, and decision making is lack of scientificity are solved, and accurate, self-adaptive and safe individualized physical training management is achieved.

The invention relates to the technical field of audio signal processing, in particular to an audio equalization adjustment method and device and a storage medium. The audio equalization adjustment method comprises the following steps: acquiring a physiological movement signal and an environment audio signal of a user; respectively processing the physiological motion signal and the environment audio signal to obtain physiological motion features and environment noise features; performing fusion decision based on the physiological motion features and the environmental noise features to generate a target equilibrium parameter set; and based on the target equalization parameter set, performing equalization adjustment on the audio output signal of the near-to-eye display device. According to the method, the auditory experience of the near-to-eye display equipment in the motion scene can be intelligently optimized.

The application discloses an interventional surgery instrument operation track intelligent planning dynamic navigation control method and system, and belongs to the technical field of minimally invasive interventional surgery intelligent navigation. A patient's preoperative three-dimensional medical image and intraoperative two-dimensional perspective image are acquired, and a digital twin model of a surgery region containing anatomical structures and physical properties is constructed; an initial optimal operation track is generated through a rapidly expanding random tree and convex optimization, and an anatomical structure displacement caused by physiological motion is compensated by adopting nonlinear elastic registration based on feature points; dynamic resistance feedback is calculated in combination with an instrument mechanical response model, track correction instructions and feedback signals are output, and a closed-loop navigation is realized by driving an executing mechanism and a main operating handle. The system contains five modules of image processing, track planning, registration compensation, control calculation and executing feedback, can effectively improve operation precision and safety in a complex blood vessel environment, solves problems of interventional surgery hand feeling loss, dynamic adaptation difference and navigation precision deficiency, and is suitable for various blood vessel interventional minimally invasive treatments.

Methods and devices provide physiological movement detection with active sound generation. In some versions, a processor may detect breathing and / or gross body motion. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the sound signal from the user. The processor may process the reflected sound, such as by a demodulation technique. The processor may detect breathing from the processed reflected sound signal. The sound signal may be produced as a series of tone pairs in a frame of slots or as a phase-continuous repeated waveform having changing frequencies (e.g., triangular or ramp sawtooth). Evaluation of detected movement information may determine sleep states or scoring, fatigue indications, subject recognition, chronic disease monitoring / prediction, and other output parameters.

The invention belongs to the technical field of nuclear medicine imaging, and discloses a radioactive tracer agent distribution quantification optimization method and related equipment, and the method comprises the steps: obtaining scanning bed deformation information, moving track information and physiological motion dynamic information of a patient, and obtaining a radioactive tracer agent distribution quantification optimization result based on the scanning bed deformation information, the moving track information and the physiological motion dynamic information; the method comprises the steps of constructing a multi-source error integrated influence model, performing radioactive tracer distribution reconstruction on original detection data through an OSEM algorithm based on the multi-source error integrated influence model to obtain real distribution information of a radioactive tracer, and performing calculation according to the real distribution information to obtain a standardized uptake value. By means of the method, the accuracy of the radioactive tracer agent distribution quantification result is improved.

The invention discloses a nasopharyngeal laryngoscope focus accurate positioning and image recognition system, which comprises a shape sensing subsystem, an absolute positioning subsystem and a data processing module, and is characterized in that the shape sensing subsystem senses deformation in real time through a strain sensor array in a hose, and the absolute positioning subsystem establishes a fixed reference coordinate system through a reference mark; the data processing module fuses the two kinds of data, establishes a dynamically maintained patient coordinate system and achieves accurate positioning and mapping of the laryngoscope tail end position, the system generates a lesion stereoscopic model through multi-view image collection and three-dimensional reconstruction, intelligent matching analysis is conducted in combination with a lesion database, and an evaluation result is provided. Meanwhile, dynamic compensation and self-checking functions are realized based on physiological movement signals, so that the problem of positioning drift caused by movement and physiological movement of a patient in traditional laryngoscopy is effectively solved, and accurate space positioning, three-dimensional visual representation and intelligent diagnosis assistance of a focus are realized; the diagnosis and treatment accuracy and the operation safety of the diseases of the nose and throat department are obviously improved.

The invention relates to the technical field of medical image processing, and provides an image sequence registration method, which comprises the following steps of: firstly, calculating relative displacement of adjacent frames, accumulating to obtain absolute displacement, decomposing the absolute displacement, and extracting trend components representing physiological movement and high-frequency residual errors representing random disturbance; meanwhile, a current frame and a reference frame are input into a displacement fine-tuning network to obtain a displacement fine-tuning amount, then the high-frequency residual error is negated and then weighted with the displacement fine-tuning amount to synthesize compensation displacement, and spatial transformation is carried out on the image. According to the method, motion components are separated, the physiological motion trend is reserved while random jitter is compensated, over-correction caused by integral accumulation errors or end-to-end learning is avoided, and high-precision image sequence registration is achieved.

The invention relates to the field of medical image processing, and discloses a medical image virtual simulation method and system based on digital twinning. The method comprises the following steps: acquiring original physiological data and carrying out sliding window time sequence sampling to obtain a preliminary physiological movement sequence; extracting position deviation characteristics from the preliminary physiological movement sequence to obtain a dynamic interference distribution matrix; abnormal fluctuation in the dynamic interference distribution matrix is detected, nonlinear supplementary interference samples are generated and fused, and an enhanced interference data field is obtained; performing superposition operation on standard nuclear magnetic imaging data by using the enhanced interference data field to obtain a preliminary simulation image sequence; extracting time dynamic features of the preliminary simulation image sequence and a real clinical artifact image, and comparing the time dynamic features to generate a feature difference chart; and according to the feature difference image, calculating an adaptive fusion weight and performing residual feature completion to obtain a final medical image simulation result. According to the method, high-fidelity reproduction and closed-loop optimization of the dynamic artifacts of the medical image are realized.

A battery-less, wirelessly powered localization system is described. In an embodiment, a wirelessly powered localization system, includes an external Tx antenna that generates a radio frequency (RF) signal that wirelessly powers a set of one or more localizers, an external Rx antenna that receives an output from the localizers, a localizer including: an Rx antenna that receives a radio frequency (RF) signal from an external Tx antenna, a passive four-stage full-wave CMOS rectifier that generates a DC voltage using the received RF signal, a low-dropout regulator that generates a stable DC voltage based on the rectifier-generated voltage, a frequency divider circuit to divide the frequency of received RF signal, and a Tx antenna that outputs an RF signal at the divided frequency to the external Rx antenna.

This application relates to the field of medical image processing technology, and discloses a method and system for lesion analysis of SPECT and spectral CT fusion images. The method includes acquiring SPECT and spectral CT images; identifying at least one anatomical feature point in the spectral CT image and identifying a functional feature point corresponding to the anatomical feature point in the SPECT image; calculating the first spatial coordinates of the anatomical feature point in the spectral CT image and the second spatial coordinates of the functional feature point in the SPECT image; determining the deformation parameters of a local region in the SPECT image based on the difference between the first and second spatial coordinates; and performing spatial transformation processing on the functional distribution features of the local region in the SPECT image to spatially align the processed functional distribution features with the anatomical features in the spectral CT image, actively eliminating image misalignment caused by physiological motion and other factors, and achieving alignment of functional information with anatomical structures.

The invention relates to the technical field of medical data compression, and discloses a lossless compression method for medical image data, which comprises the following steps of: 1, acquiring three-dimensional medical image data and ray beam path data in a radiotherapy plan, and segmenting the three-dimensional medical image data into a plurality of voxel blocks; and performing clinical importance grade labeling on the voxel blocks according to ray beam path data. According to the technical scheme, physiological motion signals of a patient are obtained to generate a displacement time table, motion compensation is executed based on the displacement time table to generate a prediction image, and finally reversible differential storage is conducted on a real image and the prediction image, so that the purposes of fully utilizing time sequence redundancy of three-dimensional medical image data, remarkably improving the compression ratio and improving the image quality are achieved. And compared with the technical scheme that compression is adopted piece by piece and time relevance is not utilized in the prior art, the problems that the compression efficiency is low and excessive storage resources are occupied are solved.

The invention provides a joint reconstruction and dynamic registration method and device, equipment and a medium, and relates to the technical field of image processing. The method comprises the following steps: obtaining a fused feature map through feature extraction operation and feature fusion operation, and carrying out dynamic deformation registration operation on a preprocessed SPECT basic image and a target CT image by using the fused feature map to obtain a registered CT image, a registered SPECT image and a dynamic displacement field for compensating physiological movement. And performing reconstruction operation on the registered SPECT image by using a reconstruction constraint condition, the registered CT image and the dynamic displacement field to obtain a reconstructed SPECT image. According to the method, a joint optimization framework is constructed by deeply embedding dynamic deformation registration into a reconstruction process, so that the SPECT reconstruction can fully utilize CT anatomy prior and displacement field constraint, a traditional serial error chain is broken, and the reconstruction precision and function-anatomy alignment degree are remarkably improved.

The application discloses a kind of military physical action standard identification methods based on multi-modal fusion, to solve the problem that traditional military training relies on subjective evaluation, existing automated method is poor in robustness and cannot quantitatively evaluate action quality.The method first synchronously collects visible light video, infrared video and wearable sensor data when soldier trains;Second, by space-time alignment, construct the semantic vector sequence that fuses human key point coordinates, regional infrared temperature, motion statistical characteristics and heart rate data;Then, use heterogeneous double-channel deep neural network to extract space-time visual features and physiological motion features, and perform deep fusion through cross-attention mechanism.The application realizes the quantitative evaluation of the automation, precision and interpretability of military physical action standard, and improves the recognition robustness and guidance value of evaluation results in complex environment.

Embodiments of the present disclosure provide a method and system for positioning a robot and adjusting a posture. The method may include obtaining a first image and a second image of a target object. The first image may be captured using an image capturing apparatus, and the second image may be captured using a medical imaging device. The method may also include determining at least one target region corresponding to at least one target portion of the target object from the first image. The at least one target portion may be less affected by physiological motions than other portions. The method may further include determining positioning information of the robot based on the at least one target region and the second image.

The application relates to the technical field of medical image processing, and provides a registration method of an image sequence. The method first calculates relative displacement of adjacent frames, accumulates the absolute displacement, decomposes the absolute displacement, extracts a trend component representing physiological motion and a high-frequency residual representing random disturbance, simultaneously inputs a current frame and a reference frame into a displacement fine-tuning network to obtain a displacement fine-tuning amount, adds the high-frequency residual after inversion to the displacement fine-tuning amount to obtain a compensation displacement, and performs spatial transformation on the image. The method separates motion components, compensates for random jitter while retaining the physiological motion trend, avoids overcorrection caused by integral accumulation error or end-to-end learning, and realizes high-precision image sequence registration.

The anesthesia puncture visual navigation system combining augmented reality with three-dimensional reconstruction belongs to the technical field of anesthesia puncture visual navigation, and comprises a physiological motion monitoring unit, which is used for simultaneously collecting respiratory motion cycle data and soft tissue elastic deformation information, and generating a comprehensive motion state data packet by calculating the correlation coefficient of the respiratory amplitude and the tissue elastic modulus change rate, so that the spatial deviation caused by the respiratory motion and the soft tissue deformation of the patient to the puncture navigation can be effectively compensated, the puncture precision is significantly improved compared with the traditional static navigation system under the normal respiratory state of the patient, the puncture failure rate and the complication risk are effectively reduced, the problem of further precision deterioration caused by the blind application of correction parameters of the traditional system when the registration quality deteriorates is avoided, the dependence on the personal experience of the doctor is reduced, and the problem of complete system failure caused by a single correction mode is avoided.

The present specification relates to an image sequence motion correction method and device based on intensity correction optical flow registration. The method comprises: determining a reference image of each deformed image in a deformed image sequence, performing motion correction on the deformed image by adjusting the weight of the mechanical regularization term of the reference image and the deformed image to obtain the displacement field of the deformed image relative to the reference image; based on the displacement field and the intensity correction value of the finite element node, intensity correction is performed on the reference image; adjusting the weight of the mechanical regularization term, performing motion correction on the deformed image, intensity correction is performed on the first corrected reference image based on the optimized displacement field, and the execution is repeated until the image residual function converges, the deformed image is determined to be corrected, the optimal solution of the weight value of the mechanical regularization term of the deformed image is recorded; and determining the true displacement of the deformed image according to the optimal solution of the weight value. The present specification integrates the mechanical model behind physiological motion and intensity correction technology into the image registration algorithm to reduce image noise and improve algorithm accuracy.

The invention relates to the technical field of medical image processing, in particular to an artificial intelligence assisted self-service cruise three-dimensional C-arm imaging system, which comprises an autonomous cruise module used for autonomously moving and positioning in an operating room and comprising a multi-modal sensing unit, a navigation control unit used for generating a navigation path and a Mecanum wheel omnidirectional moving chassis; the intelligent scanning decision module is used for optimizing scanning parameters and synchronizing with physiological movement of the patient and comprises a patient feature analysis unit, a scanning parameter optimization module unit and a respiratory movement synchronization unit, and the scanning parameter optimization module unit performs optimization decision on an analysis result based on a decision tree and a random forest ensemble learning algorithm; the cloud cooperative control architecture is used for cooperatively completing scanning and reconstruction and comprises an end-side execution unit and a cloud-side reconstruction engine; and the operation process self-learning module is used for optimizing an operation navigation path. The problems that traditional equipment is clumsy in movement, scanning decision depends on experience, and organ motion artifacts are serious are solved.

The embodiment of the invention is suitable for the technical field of medicine, and provides a physiological gating signal generation method and system.The method comprises the steps that a signal probe is controlled to scan a target area, and echo signals fed back by the target area are received; wherein the echo signal can reflect physiological motion information of target tissue in the target area; generating a motion image of the target tissue according to the echo signal, and displaying the motion image; determining a physiological gating signal of the target tissue based on the motion image; the physiological gating signal is used for controlling the medical equipment to perform imaging scanning on the target tissue. By adopting the method, high-quality physiological gating signals can be conveniently acquired, so that artifacts during target tissue imaging are reduced.

The invention discloses a real-time adaptive radiotherapy management system, and relates to the field of medical science and technology. The system comprises a real-time data processing unit used for acquiring real-time data of a target object in a radiotherapy process; the self-adaptive decision-making unit is used for determining a target radiotherapy plan matched with the current state of the target object from multiple alternative radiotherapy plans of the target object based on the real-time data, and the multiple alternative radiotherapy plans are associated with different physiological motion phases or anatomical states of the target object; the plan execution sequence splitting unit is used for analyzing and splitting each alternative radiotherapy plan into one or more hardware execution sequences; and the execution scheduling unit is used for issuing the at least one hardware execution sequence corresponding to the target radiotherapy plan to a control system of the radiotherapy equipment. The technical problem that an existing adaptive radiotherapy system cannot realize high-real-time dynamic plan switching in the treatment process due to framework stiffness and single decision mode is solved.

The invention discloses a self-adaptive path tracking and disturbance suppression control method and system for flexible needle puncture. The method comprises the steps that a system dynamics model of flexible needle puncture is established; acquiring position measurement information of a needle tip, reconstructing an attitude angle and an equivalent curvature of a needle body on line based on a high-order sliding mode observer and a system dynamics model, and switching to a model-based prediction mode when intermittent loss of the position measurement information is detected; on the basis of the needle point position observation error and the nominal target trajectory, the disturbance speed caused by physiological movement is estimated online through a disturbance observer; based on the reconstructed system state and the disturbance speed, a control instruction is obtained through a self-adaptive backstepping control algorithm integrated with a parameter self-adaptive law, and estimation of lumped unknown parameters is synchronously updated online; and outputting a control instruction to a puncture execution mechanism to drive the flexible needle to track an expected path. According to the invention, high-precision and high-robustness puncture trajectory tracking is realized.

This invention discloses a puncture actuator integrating force feedback and active rotation functions, including a puncture needle assembly, a force feedback unit, a rotation drive unit, a control module, and a path planning unit. The force feedback unit is used to detect the contact force between the puncture needle and soft tissue in real time. The rotation drive unit is used to actively drive the puncture needle to rotate during puncture. The control module dynamically adjusts the puncture speed and rotation speed based on the force feedback information. The path planning unit dynamically corrects the puncture path by combining tissue characteristics and physiological motion information. This invention enables real-time perception and adaptive control of the tissue's mechanical state during puncture, effectively reducing errors caused by tissue deformation, needle tip deviation, and target displacement, significantly improving puncture accuracy and efficiency, while enhancing operational safety, and has high clinical application value.

The invention provides a dazzle light technology-based living body detection method and apparatus, and an electronic device, and belongs to the technical field of video identification. The method comprises the following steps: acquiring a face video in real time; extracting coordinates of face key parts based on the first frame and the current frame of images of the face video, and correcting the face area based on the coordinates of the face key parts; performing multi-color space inter-frame difference calculation based on the corrected first frame image and the current frame image to obtain YCrCb and RGB color space frame difference images; carrying out feature extraction on the YCrCb and RGB color space frame difference image to obtain a channel feature image; and carrying out fusion processing on the channel feature map by adopting a dual-channel attention fusion method to obtain a dual-channel attention feature map, and inputting the dual-channel attention feature map into an image classification model for classification processing to obtain a light color classification result. According to the method, non-rigid motion interference caused by face posture change can be eliminated, the feature expression ability in a complex illumination scene is improved, and the recognition precision of face fine physiological motion is improved.

Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and / or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.

The invention discloses a motion monitoring and imaging optimization system and method. The system comprises a radar hardware system and a data processing system which are in electric signal connection, and the radar hardware system transmits a continuous wave signal to a monitored object, receives an echo signal and transmits the echo signal to the data processing system; after the data processing system obtains scanning data, the scanning data are aligned with echo signal time, feature data are obtained through preprocessing and feature extraction, physiological motion data are obtained through target detection and dynamic tracking, a mapping model of body surface displacement and in-vivo motion is constructed, and motion compensation parameters are generated; meanwhile, physiological parameters are extracted, and abnormal events and risk scoring results are evaluated. Non-contact high-precision motion monitoring is achieved, the problems that a traditional means is large in synchronization error, uncomfortable in monitored object and the like are solved, imaging artifacts are effectively eliminated, the imaging quality is improved, comprehensive data support is provided for medical diagnosis, and the method is suitable for medical scanning complex scenes.

The present application relates to medical image processing and data analysis technical field, disclose a kind of integrated analysis method of gastrointestinal endoscopy data, including by digital video frame sequence and pressure signal sequence comprising gastrointestinal endoscopy data is synchronously collected using synchronous trigger circuit;Central processing unit uses exposure starting time stamp and air flow transmission delay model to construct synchronous dataset;Discrete fourier transform is executed to pressure signal sequence, and aerodynamic modulation characteristic frequency is identified and synthesized reference signal;Subpixel level morphing tracking is executed to digital video frame sequence, and global motion component is obtained by stripping local motion component.The present application executes frequency domain synchronous decoupling to local motion component by using reference signal, eliminates physiological motion interference and extracts synchronous deformation component modulated by pressure pulsation;According to synchronous deformation component and pressure pulsation amplitude, determine compliance coefficient and map physical characteristic heat map superimposed to digital video frame, generate augmented reality fusion image output.

The invention relates to the technical field of medical images, and discloses a laparoscopic surgical instrument-tissue interaction force estimation method based on mask guided optical flow, which comprises the following steps: step 1, acquiring continuous video clips including but not limited to target tissues and surgical instruments; step 2, extracting appearance features and motion features in parallel from the video clip; 3, based on the appearance features, generating a space attention mask used for focusing the potential interaction area of the instrument and the tissue; and step 4, using the spatial attention mask to carry out spatial weighting on the motion features so as to strengthen a motion mode related to interaction force and obtain weighted motion features. According to the invention, the idea of single dependence on easily interfered RGB appearance characteristics is abandoned, optical flow is introduced as core motion representation, a space positioning module and a mechanical attention gating mechanism are designed, the system is accurately focused on an instrument-tissue interaction area, and unrelated physiological motion noise such as respiration, heartbeat and lens motion is filtered out.

This invention discloses a motion state detection and evaluation method and system based on machine vision, belonging to the field of computer vision technology. The method includes: real-time capture of motion video streams to obtain illumination entropy values ​​and illumination thresholds; defining infrared and visible spectra based on the illumination thresholds to obtain joint coordinate data and facial orientation angles; extracting physiological parameters based on the facial orientation angles and simultaneously obtaining motion intensity data by combining the rate of change of joint coordinates; constructing a physiological-motion coupling model and outputting a physiological state matrix based on the physiological parameters and motion intensity data; predicting a motion risk index and assessing the motion risk level based on the physiological state matrix, generating personalized suggestions; and pushing a motion state report to the user terminal in real time based on the motion risk level and personalized suggestions, and recording feedback commands. This invention forms a closed-loop exercise health monitoring system by dynamically optimizing exercise safety and training scientificity, achieving personalized exercise risk management.