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113 results about "Physiological model" patented technology

Iterative probabilistic parameter estimation apparatus and method of use therefor

A probabilistic digital signal processor using data from multiple instruments is described. In one example, a digital signal processor is integrated into a biomedical device. The processor is configured to: use a dynamic state-space model configured with a physiological model of a body system to provide a prior probability distribution function; receive sensor data input from at least two data sources; and iteratively use a probabilistic updater to integrate the sensor data as a fused data set and generate a posterior probability distribution function using all of: (1) the fused data set; (2) an application of Bayesian probability; and (3) the prior probability distribution function. The processor further generates an output of a biomedical state using the posterior probability function.
Owner:VITAL METRIX INC

Method and system for comprehensive patient-specific modeling of the heart

A method and system for patient-specific modeling of the whole heart anatomy, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data is disclosed. The anatomy and dynamics of the heart are determined by estimating patient-specific parameters of a physiological model of the heart from the 4D medical image data for a patient. The patient-specific anatomy and dynamics are used as input to a 3D Navier-Stokes solver that derives realistic hemodynamics, constrained by the local anatomy, along the entire heart cycle. Fluid structure interactions are determined iteratively over the heart cycle by simulating the blood flow at a given time step and calculating the deformation of the heart structure based on the simulated blood flow, such that the deformation of the heart structure is used in the simulation of the blood flow at the next time step. The comprehensive patient-specific model of the heart representing anatomy, dynamics, hemodynamics, and fluid structure interaction can be used for non-invasive assessment and diagnosis of the heart, as well as virtual therapy planning and cardiovascular disease management. Parameters of the comprehensive patient-specific model are changed or perturbed to simulate various conditions or treatment options, and then the patient specific model is recalculated to predict the effect of the conditions or treatment options.
Owner:SIEMENS HEALTHCARE GMBH

Method and system for comprehensive patient-specific modeling of the heart

ActiveCN102346811ADescription of measurement accuracySpecial data processing applicationsTreatment optionsEntire heart
A method and system for patient-specific modeling of the whole heart anatomy, dynamics, hemodynamics, and fluid structure interaction from 4D medical image data is disclosed. The anatomy and dynamics of the heart are determined by estimating patient-specific parameters of a physiological model of the heart from the 4D medical image data for a patient. The patient-specific anatomy and dynamics are used as input to a 3D Navier-Stokes solver that derives realistic hemodynamics, constrained by the local anatomy, along the entire heart cycle. Fluid structure interactions are determined iteratively over the heart cycle by simulating the blood flow at a given time step and calculating the deformation of the heart structure based on the simulated blood flow, such that the deformation of the heart structure is used in the simulation of the blood flow at the next time step. The comprehensive patient-specific model of the heart representing anatomy, dynamics, hemodynamics, and fluid structure interaction can be used for non-invasive assessment and diagnosis of the heart, as well as virtual therapy planning and cardiovascular disease management. Parameters of the comprehensive patient-specific model are changed or perturbed to simulate various conditions or treatment options, and then the patient specific model is recalculated to predict the effect of the conditions or treatment options.
Owner:SIEMENS HEALTHCARE GMBH

Self-adapting testing instrument for heat-moisture comfort performance of fabric and coupled testing method using same

InactiveCN102507641AActual measurement of dynamic heat and moisture transfer characteristicsThe experimental results are accurate and reliableMaterial heat developmentTextile testingHuman bodyPeristaltic pump
The invention relates to a self-adapting testing instrument and a testing method for heat-moisture comfort performance of fabric. The testing instrument comprises a testing main body and a testing accessory body, wherein the testing main body comprises a testing head; the testing head sequentially comprises a heating plate, a copper plate, a simulated skin, a simulated skin and a sample clamp clamped with a sample bottom to top; a temperature and humidity sensor is arranged between the sample and the simulated skin; a membrane couple is attached to the surface of the simulated skin device; multiple sweating micropores connected with a control valve of a peristaltic pump are disposed on the simulated skin device; the testing accessory body comprises a clothed human body heat physiological model module, a control module and a surface heat flow calculation module; the surface heat flow calculation module is used for calculating the surface heat flow according to the sweating amount of the sweating micropores and the temperature of the membrane couple; and the clothed human body heat physiological model module is used for real-time sending signals for controlling the peristaltic pump and the heating plate to the control module by taking the calculated surface heat flow as a boundary condition. The self-adapting testing instrument can simulate human body heat physiological characteristics changing along with the ambient change.
Owner:DONGHUA UNIV

System and apparatus for the non-invasive measurement of glucose levels in blood

InactiveUS20110230744A1Estimate degradedSensorsBlood characterising devicesD-GlucoseEngineering
A system for estimating the glucose levels in blood is developed in the present invention. Said system establishes a physiological model of the pulse wave and its energy, which are also correlated with the glucose metabolic function, for generating a fixed length vector containing the values of the previous model combined with other variables related to the user such as, for example, age, sex, height, weight, etc. . . . This fixed length vector is used as an excitation of a function estimation system based on “random forests” for the calculation of the interest variable. The main advantage of this parameter estimation system lays in the fact that it does not apply any restriction a priori on the function to be estimated, and that it is robust in front of heterogeneous data, such as in the case of the present invention.
Owner:SABIRMEDICAL

System and apparatus for the non-invasive measurement of blood pressure

The present invention relates to a system for the estimation of the systolic (SBP), diastolic (DBP) and average (MAP) blood pressure. Said system establishes a physiological model of the pulse wave combined with its energy for, afterwards, generating a fixed length vector containing the previous model's values with other variables related to the user like, for example, age, sex, height, weight, etc. . . . This fixed length vector is used as an input of a function estimator system based on “random forests” for the calculation of the three variables of interest. The main advantage of this function estimator lies in that it does not impose any restriction beforehand over the function to be estimated, and it is also very reliable with heterogeneous data, as in the present invention's case.
Owner:SABIRMEDICAL

Virtual resolution enhancement in diagnostic imaging using FEA

A method is described for achieving resolutions beyond the resolution of a diagnostic imaging using multilevel computational analysis. This is accomplished by coupling the diagnostic image with images obtained at higher resolutions or with physiological models constructed at size scales beyond the resolution of the original diagnostic image. Using a discretization function, the image data or models are converted or generated so that they can be processed by a multilevel computational analysis function. The multilevel analysis then mathematically couples the models across two or more length scales generating parameters of interest at each level of analysis. A post-processing function provides the interface for the user to view the parameters of interest in the model derived from the original diagnostic image and / or the image itself and then “zoom-in” to a region by accessing the higher resolution image and / or model associated with it and viewing the parameters of interest.
Owner:PALMER MARK L

Rice plant type quantitative control method integrating crop virtual growth model

Provided is a rice plant type quantitative design method integrating a crop virtual growth model. The crop virtual growth model is constructed, effective correlation and combination of the main plant physiological process, morphological structures and a light environmental model are achieved, and visual virtual growth of crop plants can be achieved; in the crop virtual growth model, morphologies of crops at different growth periods are set up through a structure model, a physiological model is used for realizing dynamic prediction of production, distribution and final yield of crop assimilates, and the light environmental model is used for computing crop canopy light radiation quantity and crop individual fractional interception of photosynthetic active radiation; the crop plant type structure is continuously changed through an optimization algorithm, so that simulation results of different adaption degrees are obtained, and the optimal crop plant type based on different targets can be obtained; the different adaption degrees are used as optimization results of the targets and set as morphological parameters of the virtual growth model, analog operation is carried out, horizontal and longitudinal comparison is carried out, and the optimal plant type data of crops are verified and determined.
Owner:ZHEJIANG UNIV OF TECH
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