80 results about "Biomechanical model" patented technology

A system is provided for capturing motion of a moving object via a plurality of motion sensor modules placed on various body segments. The sensor modules capture both 3D position and 3D orientation data relating to their respective body segments, thereby gathering motion data having six degrees of freedom with respect to a coordinate system not fixed to the body. Each body sensor collects 3D inertial sensor data and, optionally, magnetic field data. In embodiments, either DSP circuitry within the sensor modules or an external computing device, processes the sensor data to arrive at orientation and position estimates by using an estimation algorithm, such as a Kalman filter or a particle filter. The processing includes biomechanical model constraints that allow flexibility in the joints and provide characteristics for various joint types. To improve estimation accuracy, the system may be integrated with various types of aiding sensors.

The present invention relates to a light-weight, small and portable ambulatory sensor for measuring and monitoring a person's physical activity. Based on these measurements and computations, the invented system quantifies the subject's physical activity, quantifies the subject's gait, determines his or her risk of falling, and automatically detects falls. The invention combines the features of portability, high autonomy, and real-time computational capacity. High autonomy is achieved by using only accelerometers, which have low power consumption rates as compared with gyroscope-based systems. Accelerometer measurements, however, contain significant amounts of noise, which must be removed before further analysis. The invention therefore uses novel time-frequency filters to denoise the measurements, and in conjunction with biomechanical models of human movement, perform the requisite computations, which may also be done in real time.

Action data for the animation of characters is generated in a computer animation system. Body part positions for a selected character are positioned in response to body part positions captured from performance data. The positions and orientations of body parts are identified for a generic actor in response to a performance in combination with a bio-mechanical model. As a separate stage of processing, positions and orientations of body parts for a character are identified in response to the position and orientation of body parts for the generic actor in combination with a bio-mechanical model. Registration data for the performance associates body parts of the performance and body parts of the generic actor. Similar registration data for the character associates body parts in the generic actor with body parts of the character. In this way, using the generic actor model, it is possible to combine any performance data that has been registered to the generic actor with any character definitions that have been associated to a similar generic actor.

A method and system for registering pre-operative images and intra-operative images using biomechanical simulations is disclosed. A pre-operative image is initially registered to an intra-operative image by estimating deformations of one or more segmented anatomical structures in the pre-operative image, such as the liver, surrounding tissue, and the abdominal wall, using biomechanical gas insufflation model constrained. The initially registered pre-operative image is then refined using diffeomorphic non-rigid refinement.

Method and system for computation of advanced heart measurements from medical images and data; and therapy planning using a patient-specific multi-physics fluid-solid heart model is disclosed. A patient-specific anatomical model of the left and right ventricles is generated from medical image patient data. A patient-specific computational heart model is generated based on the patient-specific anatomical model of the left and right ventricles and patient-specific clinical data. The computational model includes biomechanics, electrophysiology and hemodynamics. To generate the patient-specific computational heart model, initial patient-specific parameters of an electrophysiology model, initial patient-specific parameters of a biomechanics model, and initial patient-specific computational fluid dynamics (CFD) boundary conditions are marginally estimated. A coupled fluid-structure interaction (FSI) simulation is performed using the initial patient-specific parameters, and the initial patient-specific parameters are refined based on the coupled FSI simulation. The estimated model parameters then constitute new advanced measurements that can be used for decision making.

An in vitro biomechanical model used to applied hemodynamic (i.e., blood flow) patterns modeled after the human circulation to human / animal cells in culture. This model replicates hemodynamic flow patterns that are measured directly from the human circulation using non-invasive magnetic resonance imaging and translated to the motor that controls the rotation of the cone. The cone is submerged in fluid (i.e., cell culture media) and brought into close proximity to the surface of the cells that are grown on the plate surface. The rotation of the cone transduces momentum on the fluid and creates time-varying shear stresses on the plate or cellular surface. This model most closely mimics the physiological hemodynamic forces imparted on endothelial cells (cell lining blood vessels) in vivo and overcomes previous flow devices limited in applying more simplified nonphysiological flow patterns. Another aspect of this invention is directed to incorporate a transwell co-cultured dish. This permits two to three or more different cell types to be physically separated within the culture dish environment, while the inner cellular surface is exposed to the simulated hemodynamic flow patterns. Other significant modifications include custom in-flow and out-flow tubing to supply media, drugs, etc. separately and independently to both the inner and outer chambers of the coculture model. External components are used to control for physiological temperature and gas concentration. The physical separation of adherent cells by the artificial transwell membrane and the bottom of the Petri dish permits each cell layer, or surface to be separately isolated for an array of biological analyses (i.e., protein, gene, etc.).

The invention relates to a skeletal muscle mechanical behavior multiscale modeling method and aims at solving the problem in the prior art that a complete process from cell electrophysiologic action potential activation to skeletal muscle mechanical output cannot be simulated. The method comprises the steps of S1, determining positions and attitudes of muscle fibers; S2, establishing a skeletal muscle macroscopic geometric model and a skeletal muscle microcosmic geometric model according to the S1; S3, carrying out grid division on the geometric models established in the S2; S4, carrying out skeletal muscle electrophysiologic property modeling according to the S3; S5, carrying out multiscale calculation between cells and muscle tissues according to the S3 and S4; S6, establishing a skeletal muscle multiscale biomechanics model according to the S5; and S7, predicting muscular force according to the S6. The method is applied to the field of biomedical engineering.

A virtual reality display system that generates display images in two phases: the first phase renders images based on a predicted pose at the time the display will be updated; the second phase re-predicts the pose using recent sensor data, and corrects the images based on changes since the initial prediction. The second phase may be delayed so that it occurs just in time for a display update cycle, to ensure that sensor data is as accurate as possible for the revised pose prediction. Pose prediction may extrapolate sensor data by integrating differential equations of motion. It may incorporate biomechanical models of the user, which may be learned by prompting the user to perform specific movements. Pose prediction may take into account a user's tendency to look towards regions of interest. Multiple parallel pose predictions may be made to reflect uncertainty in the user's movement.

The disclosure relates to a robotic device for performing a medical intervention on a patient using a medical instrument, comprising:a robot arm having several degrees of freedom and having an end suitable for receiving the medical instrument,an image capture system suitable for capturing position information concerning the anatomy of the patient,a storage medium having a biomechanical model of the human body,a processing circuit configured to determine a position setpoint and an orientation setpoint for said medical instrument on the basis of the biomechanical model, on the basis of the position information and on the basis of a trajectory to be followed by the medical instrument in order to perform the medical intervention, anda control circuit configured to control the robot arm in order to place the medical instrument in the position setpoint and the orientation setpoint.

A method and system for prediction of respiratory motion from 3D thoracic images is disclosed. A patient-specific anatomical model of the respiratory system is generated from 3D thoracic images of a patient. The patient-specific anatomical model of the respiratory system is deformed using a biomechanical model. The biomechanical model is personalized for the patient by estimating a patient-specific thoracic pressure force field to drive the biomechanical model. Respiratory motion of the patient is predicted using the personalized biomechanical model driven by the patient-specific thoracic pressure force field.

The invention discloses an estimation method for a biological tissue two-dimensional displacement field in ultrasonic elastography. The estimation method comprises the following steps of: (1) acquiring an ultrasonic image and estimating a longitudinal displacement component; (2) establishing a system discrete equation through a biological tissue mechanical model; and (3) estimating the biological tissue two-dimensional displacement field through H-infinity filtering. The estimation method for the two-dimensional displacement field disclosed by the invention obtains the optimal estimation for the displacement field by using a conventionally obtained longitudinal displacement measured value through an H-infinity filtering algorithm under the restriction of the biological mechanical model, so that the estimation method restores a high-quality lateral displacement component simultaneously when effectively filtering out the noise inside and outside the system, and is used for strain calculation and the reconstruction of elastic parameters; and compared with conventional methods, the estimation method disclosed by the invention can play a very effective role in the estimation for lateral displacement in the ultrasonic elastography.

The invention relates to a design method of a personalized condylar prosthesis with a topological optimized fixing unit and a porous condylar head unit. The method comprises the following steps: 1) reconstructing a condylar prosthesis and constructing a mandible biomechanical model; 2) performing topological optimization design on a fixing unit based on biomechanics; 3) designing the porous structure of the condylar head; 4) carrying out 3D printing on the personalized condylar prosthesis; and 5) carrying out post-treatment on the printed personalized condylar prosthesis to obtain the personalized condylar prosthesis which is applied to clinic and has the topological optimized fixing unit and the porous condylar head. The invention provides the design method of the personalized condylar prosthesis with the topological optimized fixing unit and the porous condylar head unit, and the personalized condylar prosthesis. The method effectively reduces the average maximum stress of the prosthesis, so that the prosthesis has better stability and is not easy to fall off.

A system and method for monitoring the running technique of a user undertaking a physical activity is described. The system comprises: a garment worn by the user incorporating a sensor for the detection of a parameter relating to the movement of the pelvis of the user; a processing unit configured to receive information about the parameter from the sensor, to compare the parameter with an aspect of a biomechanical model, and to determine if a feedback response is required; and means for providing the feedback response to the user. The method comprises the steps of: measuring a parameter relating to the movement of the pelvis of the individual; comparing the parameter with a biomechanical model to determine whether a feedback response is required and providing a feedback response if required.

A fracture heal dynamic process simulation method based on a biological mechanism aims solve the problems that an existing fracture heal dynamic process model cannot integrally simulate complex relations between dynamic changes, mechanics environment changes and biology environment changes of a callus shape in a fracture healing process; the novel method comprises the following steps: 1, building a three dimensional geometry model; 2, dividing grids; 3, building a bone and callus biomechanics model; 4, determining simulation initial parameters and application loads, and boundary conditions; 5, deciding a normal blood supply unit and an non-normal blood supply unit, executing step6 for a normal blood supply zone, and executing step7 for a non-normal blood supply zone; 6, building a normal blood supply zone determinacy mathematics model; 7, building a non-normal blood supply zone fuzzy mathematics model; 8, building a bone fracture healing simulation process according to steps 6 and 7. The fracture heal dynamic process simulation method is applied to the biomedical engineering field.