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33 results about "Physiological significance" patented technology

Physiological Significance of the Membrane Potential In the previous section, we learned that cells expend energy to maintain the intracellular concentrations of K + and Na + (through the activity of the Na +/K + ATPase) in order to ensure the maintenance of the resting membrane potential.

Methods for microdispensing patterened layers

An efficient method for the microfabrication of electronic devices which have been adapted for the analyses of biologically significant analyte species is described. The techniques of the present invention allow for close control over the dimensional features of the various components and layers established on a suitable substrate. Such control extends to those parts of the devices which incorporate the biological components which enable these devices to function as biological sensors. The materials and methods disclosed herein thus provide an effective means for the mass production of uniform wholly microfabricated biosensors. Various embodiments of the devices themselves are described herein which are especially suited for real time analyses of biological samples in a clinical setting. In particular, the present invention describes assays which can be performed using certain ligand / ligand receptor-based biosensor embodiments. The present invention also discloses a novel method for the electrochemical detection of particular analyte species of biological and physiological significance using an substrate / label signal generating pair which produces a change in the concentration of electroactive species selected from the group consisting of dioxygen and hydrogen peroxide.
Owner:I STAT CORP

System and method of microdispensing and arrays of biolayers provided by same

An efficient method for the microfabrication of electronic devices which have been adapted for the analyses of biologically significant analyte species is described. The techniques of the present invention allow for close control over the dimensional features of the various components and layers established on a suitable substrate. Such control extends to those parts of the devices which incorporate the biological components which enable these devices to function as biological sensors. The materials and methods disclosed herein thus provide an effective means for the mass production of uniform wholly microfabricated biosensors. Various embodiments of the devices themselves are described herein which are especially suited for real time analyses of biological samples in a clinical setting. In particular, the present invention describes assays which can be performed using certain ligand / ligand receptor-based biosensor embodiments. The present invention also discloses a novel method for the electrochemical detection of particular analyte species of biological and physiological significance using an substrate / label signal generating pair which produces a change in the concentration of electroactive species selected from the group consisting of dioxygen and hydrogen peroxide.
Owner:ABBOTT POINT CARE

Method and system for non-contact sleep monitoring

The invention provides a method and a system for non-contact sleep monitoring. The method comprises the following steps: using an infrared monitoring camera to acquire video images of a head region and abdomen and thorax regions of a human body, and using a somatosensory device to acquire attitude information of the human body; acquiring sleep information of the human body; and comparing the sleep information of the human body with preset standard sleep information, and analyzing health degree of human body sleep quality. The method is based on an image processing technology, and acquires sleep signals of a human body by a non-contact method. The method maintains natural sleep state of a user to the greatest extent, and sleep state information with physiological significance is extracted through a video image processing technology. The system is low in device cost, and provides convenience for daily use of a family.
Owner:TSINGHUA UNIV

Ultrasound contrast perfusion parameter imaging method based on respiratory motion compensation

The invention provides an ultrasound contrast perfusion parameter imaging method based on respiratory motion compensation. Tracking sequences are built for respiratory phase subsequences at the last stages of exhalation and inhalation by combining a respiratory motion curve obtained through nonnegative matrix decomposition and two respiratory motion compensation schemes based on frame selection and respiratory phase segmentation, block matching respiratory motion displacement vector tracking calculation based on coarse-to-fine three-step search is performed, targeted characteristic compensation is performed on TIC of subsequence images corresponding to all respiratory phases, and finally, a perfusion parameter image after respiratory motion compensation is obtained. Compared with other perfusion parameter motion compensation methods, the method avoids complex manual frame selection and can well adapt to the organs in the abdomen, and the motion curve obtained through nonnegative matrix decomposition has good physiological significance.
Owner:XI AN JIAOTONG UNIV +1

Method for automatically removing movement artifacts of near-infrared spectral signals

The invention discloses a method for automatically removing movement artifacts of near-infrared spectral signals. The method includes steps of firstly, computing movement standard deviation of the near-infrared spectral signals, automatically selecting threshold values and marking movement artifact regions of original signals; secondly, decomposing empirical modes of the near-infrared spectral signals to obtain intrinsic mode functions with clear physiological significances; thirdly, computing suspected movement artifact regions of each intrinsic mode function, combining the suspected movement artifact regions with the movement artifact regions, which are obtained in the first step, of the original signals, processing the different intrinsic mode functions and removing the movement artifacts; fourthly, reconstructing the signals. The method has the advantages that the threshold values are automatically selected according to probability distribution features of the near-infrared spectral signals, and intervals containing the movement artifacts are automatically detected according to the probability distribution features of the near-infrared spectral signals; the empirical modes of the near-infrared spectral signals are decomposed, accordingly, the intrinsic mode functions with the clear physiological significances can be obtained, obviously abnormal intrinsic mode functions can be processed, and the movement artifacts can be removed while physiological information in the NIRS (near-infrared spectral) signals can be effectively reserved.
Owner:XI AN JIAOTONG UNIV

Reduction responsiveness nanoscale graphene oxide coated medicine carrying mesoporous silicon dioxide nano particle and preparation method thereof

The invention relates to a reduction responsiveness nanoscale graphene oxide coated medicine carrying mesoporous silicon dioxide nano particle and a preparation method thereof. The reduction responsiveness nanoscale graphene oxide coated medicine carrying mesoporous silicon dioxide nano particle consists of mesoporous silicon dioxide nano particles and nanoscale graphene oxide, wherein the mesoporous silicon dioxide nano particles are modified by a compound which simultaneously contains a disulfide bond, an amino group and carboxyl and can load medicines, and the nanoscale graphene oxide coats the mesoporous silicon dioxide nano particles. The preparation method comprises the following steps: adding the mesoporous silicon dioxide nano particles which are modified by the compound which simultaneously contains the disulfide bond, the amino group and the carboxyl and can load medicines into carboxyl activated nanoscale graphene oxide aqueous solution, stirring at room temperature to generate amidation reaction, carrying out centrifugal washing, and carrying out freeze drying to obtain a medicine controlled release material which is modified by the nanoscale graphene oxide and has reduction responsiveness. The carrier material of the invention has good biocompatibility and high medicine loading capacity, and the controlled release of the medicine can be realized by the reduction responsiveness of the disulfide bond, the medicine hardly releases around normal cells but quickly releases under the microenvironment of tumor cell reduction, and the nano particle has important physiological significance and research value.
Owner:JILIN UNIV

Method for constructing physiological toxicokinetic model of nonylphenol in rat

The invention provides a method for constructing a physiological toxicokinetic model of nonylphenol in a rat, the method mainly comprises the following steps: (1) establishing a model structure; (2) establishing a model differential equation; (3) establishing and collecting model parameters; (4) performing model optimization; (5) performing model verification; and (6) performing model effect evaluation. The physiological toxicokinetic model of the nonylphenol established by the method disclosed by the invention has the characteristic of species extrapolation, so that the method has a special value in toxicant toxicity and risk evaluation. Compared with a classical compartmental model, the compartments and most parameters of the model have the physiological significance, the exposure leveland the metabolic change condition of toxicants in blood and other tissue organs can be predicted, and the model can assist in the research of the substance toxicology mechanism and improve the risk degree evaluation process.
Owner:SOUTHEAST UNIV

Physiological signal detection system based on multi-channel flexible integration

The invention provides a physiological signal detection system based on multi-channel flexible integration. The physiological signal detection system is characterized by comprising n physiological signal detection channels, each physiological signal detection channel is provided with a single-channel feature extraction module, the output end of each physiological signal detection channel is connected with a soft-decision evidence generating module, the soft-decision evidence generating modules of the n channels are all connected in a multi-channel information integration module, and the output end of the multi-channel information integration module is connected with a diagnosis decision-making module. The physiological signal detection system has the advantages that the conflicting information integration problem existing during multi-channel binary detection is solved, robust detection of weak electrophysiological feature signals is achieved, the physiological significance of the channels are retained completely in the feature extraction process, the system conforms to the interpretation habit of a doctor, experience threshold values summarized for a long term can be clinically and normally used in the soft-decision process, and the system has very good universality for multi-channel detection of weak electrophysiological signals.
Owner:CHONGQING TELECOMMUNICATION INSTITUTE

Method and device for constructing brain disease classification model and intelligent terminal

The invention provides a method and device for constructing a brain disease classification model, and an intelligent terminal. The brain disease classification model construction method comprises the steps of obtaining Rs-fMRI image data from multiple brain disease data sets; based on a plurality of preset brain templates, preprocessing the Rs-fMRI image data to obtain an average time sequence; constructing a functional connection network corresponding to each brain disease data set and the brain template according to the average time sequence, and extracting features from the functional connection network to obtain a feature matrix; constructing a plurality of initialized brain disease classification models corresponding to each brain disease data set according to a preset sparse learning model, a regularization item and a feature matrix; and performing integrated learning on the plurality of initialized brain disease classification models, and determining a target brain disease classification model corresponding to each brain disease data set. According to the method, the constructed brain function connection network has more physiological significance, the problem of high heterogeneity in data can be effectively solved, and the universality of a brain disease classification model is improved.
Owner:SHENZHEN UNIV

Dynamic PET (Positron Emission Tomography) image reconstruction and tracing kinetic parameter estimation method based on image segmentation

ActiveCN107146218AImprove uniformityAccurate Joint Reconstruction ResultsImage analysisPattern recognitionImage segmentation
The invention provides a dynamic PET (Positron Emission Tomography) image reconstruction and tracing kinetic parameter estimation method based on image segmentation. A statistics reconstruction model is combined with a model with physiological significance can be combined to more accurately combine a reconstruction result. When reconstruction and segmentation are coupled to one a combined or concurrent solving frame, for a segmentation task, the information of a noise model for carrying out modeling on original projection data can be obtained, and a segmentation-based result can enhance homogeneity in each area so as to realize a reconstruction result which more conforms to a true situation. Compared with other algorithms which singly reconstruct PET images or estimation kinetic parameters, the method can obtain a good reconstruction result. Through the combination of the performance of the method in simulated data experiments and true data experiments, compared with other algorithms which singly reconstruct PET images, the estimation kinetic parameters and image segmentation, the method disclosed by the invention can obtain a good reconstruction result.
Owner:ZHEJIANG UNIV

Baseline identification method for fetal heart rate curve

The invention discloses a baseline identification method for a fetal heart rate curve. A device for implementing the method comprises a signal input detecting module, a baseline identification extracting module, a baseline value parameter calculating module and a baseline value parameter output module. The method comprises the following steps: first, inputting fetal heart rate signals, performing pre-calculation, average optimization and interpolation smoothing in the baseline identification extracting module through pre-treatment and extraction of the effective signals, and calculating a baseline value; then, calculating the baseline proportion in a range and descriptive statistical parameters in a parameter calculating module; finally, outputting the calculating result in the baseline value parameter output module. The baseline value is calculated according to fetal heart rate data of long-term fetal heart rate monitoring and the definition of a fetal heart rate baseline, and has a relatively specific physiological significance; through combination of accelerating, decelerating and variance classifications, counts and duration proportions of the fetal heart rate, more comprehensive information can be obtained from the fetal heart rate signals; through application of the extracted baseline valve, the frequency domain of the fetal heart rate and related entropy information can also be obtained.
Owner:BEIJING UNIV OF TECH +1

Estimating Pharmacokinetic Parameters in Imaging

A method is provided for estimating a parameter of physiological significance. One or more images are provided of a tissue in a subject to whom a dose of a contrast agent (CA) has been administered, using a computer equipped with image processing software, the concentration or relative concentration of the agent in a region or regions of interest in the tissue is determined, thus generating concentration data. The time-based behavior of concentrations of CA within the tissue is determined using a pharmacokinetic model that is based on a set of pharmacokinetic model parameters. Using computer code, the pharmacokinetic model is fit to the concentration data, varying one or more parameters, such that a best fit estimate of a parameter of physiological significance is provided.
Owner:INVICRO

Sleeping state recognition classification method based on electrocardiogram data

The invention relates to a sleeping state recognition classification method based on electrocardiogram data. A dichotomous multilayer neural network is used for performing recognition and classification on SAHS patients and healthy individuals; then, a deep neural network and binary tree decision fusion method is used for decomposing a multi-classification problem into a plurality of dichotomous problems; for each dichotomous model, different optimum feature groups are respectively obtained through feature screening, so that the sleeping states of two groups and the sleeping modes of the SAHSpatients can be better recognized. The time domain of the electrocardiogram waveform and the heart rate variability information are used for performing SAHS screening, breathing mode and sleeping state recognition; the electrocardiogram signal waveform is stable; the physiological significance is clear; meanwhile, the measurement is convenient; the physiological load of patients is greatly reduced; the portable sleeping monitoring can be favorably realized; a wide application range is realized.
Owner:SUN YAT SEN UNIV

A method for obtaining two-dimensional joint regulation target region based on regulation benefit priority

ActiveCN109102420ASolve the basic theoretical problems of efficient regulationPhotosynthetic rate decreasedForecastingCouplingUltimate tensile strength
The invention relates to a two-dimensional combined regulation target area acquisition method based on the priority of regulation benefit, which comprises steps: temperature, carbon dioxide concentration and light intensity are taken as inputs and photosynthetic rate is taken as outputs, and SVR is adopted to construct a photosynthetic rate prediction model; using photosynthetic rate at differenttemperatures as objective function, carbon dioxide is extracted at different temperatures; a Photosynthetic Surface of a Light Intensity and Discrete Curve Cluster of Spatial Response with Physiological Significance is obtained; using a U-string length curvature-mountain climbing method, a suboptimal photosynthetic surface of carbon dioxide light intensity is obtained that maps to the part of theconcentration illumination intensity coordinate plane of carbon dioxide, the part of the is the two-dimensional joint control target region, namely the two-dimensional coupling constraint condition; compared with the traditional method which takes the maximum point of photosynthetic rate as the control target, Photosynthetic rate is decreased only by 10.69%, but average light demand is decreased by 38.24%, average carbon dioxide concentration is decreased by 12.10%, which has guiding significance for the actual two-factor regulation of facilities and environment.
Owner:NORTHWEST A & F UNIV

Direct imaging method for spiral discrete scanning type fluorescent agent pharmacokinetic parameters

InactiveCN105717087AReducing the need for high temporal resolutionLow costDiagnostic signal processingDiagnostics using lightFluorescenceIndirect Method
The invention discloses a direct imaging method for spiral discrete scanning type fluorescent agent pharmacokinetic parameters. The direct imaging method includes the steps that fluorescent agent scanning data is obtained according to a three-dimensional spiral discrete scanning mode, a multi-mesooecium fluorescent agent kinetic model and a pharmacokinetic parameter direct imaging state equation are set up, a pharmacokinetic parameter image is obtained based on self-adaption extended Kalman filtering, the mesooecium concentration and middle vector are obtained through an obtained final estimated value of the state vector, and finally the penetration rate and the excretion rate are obtained. The method has the advantages that complete data is not needed in each step of an algorithm, the real-time measurement data is obtained in a spiral discrete scanning mode, and the requirement for high time resolution of data collection equipment is reduced; an organizer is described more accurately through the multi-mesooecium kinetic model, and corresponding physiological significance is achieved; median concentration reconstruction errors of an indirect method are avoided; the influence caused by system original state priori knowledge deficiency is eliminated by self-adaptation extended Kalman filtering.
Owner:TIANJIN UNIV

Heart sound connected network feature extraction method based on frequency correlation

ActiveCN110610204ATo achieve the effect of classification recognitionSpeech analysisCharacter and pattern recognitionNODALSupport vector machine
The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communication network is constructed on a large-scale level according to auscultation area division, so that feature extraction of the communication network is realized. Heart sound signals at different positions in the auscultation area module can be collected at the same time, and multi-channel heart sounddata with more physiological significance and physical significance than single-channel data is obtained; frequency correlation analysis and correlation matrix establishment are carried out; accordingto the method, isolated and dispersed data information is effectively and organically integrated together, so that the heart sound characteristics are extracted and represented, the heart sound communication network characteristic matrix is input into the support vector machine, the effect of heart sound classification and recognition can be achieved, and a foundation is laid for subsequent utilization and application of the heart sound characteristics.
Owner:NANJING UNIV OF POSTS & TELECOMM

Construction method of zebra fish animal model for cardiovascular disease drug screening

The invention discloses a construction method of a zebra fish animal model for cardiovascular disease drug screening, and specifically relates to the field of animal model construction methods. The method comprises the following specific steps: selecting a gRNA target site of a zebra fish heg1 gene and synthesizing gRNA in vitro; in order to obtain the target site, firstly, downloading genome dataof the target gene heg1 from a zebra fish genome database; and selecting a 529bp long target sequence near a first exon of the heg1 gene and inputting the sequence into a target point website to obtain a target point primer. According to the invention, a cardiovascular malformation zebra fish mutant with genetic stability can be obtained; by using the zebra fish embryo transparency and the autonomous oxygen dissolving property, the mutant can be used for screening and verifying the influence of different cardiovascular drugs on cardiovascular development; and the zebra fish animal model construction method provides important physiological significance and specificity for screening of cardiovascular disease treatment drugs.
Owner:华芯微鱼(苏州)生物科技有限公司

Analyzing method for heart rate variability based on linear amplitude spectrum

The invention relates to an analyzing method for heart rate variability based on a linear amplitude spectrum. The method comprises the following steps that a target heart rate variability signal is resampled, and a uniform time interval sequence is obtained; discrete time Fourier transform is conducted on the uniform time interval sequence; according to the discrete time Fourier transform, the linear amplitude spectrum is calculated and obtained; according to the linear amplitude spectrum, data points in an extreme low-frequency stage, a low-frequency stage, a high-frequency stage and a totalfrequency stage are summed, and five analyzed parameters of the heart rate variability frequency-domain, such as an extreme low-frequency amplitude parameter, a low-frequency amplitude parameter, a high-frequency amplitude parameter, a total amplitude parameter and a balance specific parameter are calculated. The analyzing method is reasonable in design, a time domain signal is transformed into the frequency domain, and through linear amplitude spectrum transform, the frequency domain amplitude of the signal reflects the real amplitude in the signal time domain; the frequency domain characteristic is used for analyzing of physiological signals of HRV and the like, and the significant physiological significance is achieved on analyzing frequency and intensity of regulating HRV by the sympathia-parasympathetic nerve through the calculated frequency domain parameters.
Owner:INST OF BIOMEDICAL ENG CHINESE ACAD OF MEDICAL SCI

A method for identifying the baseline of fetal heart rate curve

The invention discloses a baseline identification method for a fetal heart rate curve. A device for implementing the method comprises a signal input detecting module, a baseline identification extracting module, a baseline value parameter calculating module and a baseline value parameter output module. The method comprises the following steps: first, inputting fetal heart rate signals, performing pre-calculation, average optimization and interpolation smoothing in the baseline identification extracting module through pre-treatment and extraction of the effective signals, and calculating a baseline value; then, calculating the baseline proportion in a range and descriptive statistical parameters in a parameter calculating module; finally, outputting the calculating result in the baseline value parameter output module. The baseline value is calculated according to fetal heart rate data of long-term fetal heart rate monitoring and the definition of a fetal heart rate baseline, and has a relatively specific physiological significance; through combination of accelerating, decelerating and variance classifications, counts and duration proportions of the fetal heart rate, more comprehensive information can be obtained from the fetal heart rate signals; through application of the extracted baseline valve, the frequency domain of the fetal heart rate and related entropy information can also be obtained.
Owner:BEIJING UNIV OF TECH +1

Method for emphasizing analyte values during a therapeutic window

In diabetes management applications, recent glucose measurement values may be clinically useful for acute diagnosis and for the calculation of a corrective therapy. However, the physiological significance of these measurements can lessen with time, which can lead to their becoming less relevant for calculating an effective therapy. A technique is presented for emphasizing analyte values in a diabetes management application during a therapeutic window. In this way, a user is notified that the glucose measurement value is the most current measurement and remains usable for therapy applications,such as an insulin bolus calculation.
Owner:F HOFFMANN LA ROCHE & CO AG

A Respiratory Motion Compensated Ultrasonic Contrast-enhanced Perfusion Parameter Imaging Method

The invention provides an ultrasound contrast perfusion parameter imaging method based on respiratory motion compensation. Tracking sequences are built for respiratory phase subsequences at the last stages of exhalation and inhalation by combining a respiratory motion curve obtained through nonnegative matrix decomposition and two respiratory motion compensation schemes based on frame selection and respiratory phase segmentation, block matching respiratory motion displacement vector tracking calculation based on coarse-to-fine three-step search is performed, targeted characteristic compensation is performed on TIC of subsequence images corresponding to all respiratory phases, and finally, a perfusion parameter image after respiratory motion compensation is obtained. Compared with other perfusion parameter motion compensation methods, the method avoids complex manual frame selection and can well adapt to the organs in the abdomen, and the motion curve obtained through nonnegative matrix decomposition has good physiological significance.
Owner:XI AN JIAOTONG UNIV +1

Direct Imaging of Pharmacokinetic Parameters of Fluorescent Agents with Helical Discrete Scanning

InactiveCN105717087BReducing the need for high temporal resolutionLow costDiagnostic signal processingDiagnostics using lightFluorescenceIndirect Method
The invention discloses a direct imaging method for spiral discrete scanning type fluorescent agent pharmacokinetic parameters. The direct imaging method includes the steps that fluorescent agent scanning data is obtained according to a three-dimensional spiral discrete scanning mode, a multi-mesooecium fluorescent agent kinetic model and a pharmacokinetic parameter direct imaging state equation are set up, a pharmacokinetic parameter image is obtained based on self-adaption extended Kalman filtering, the mesooecium concentration and middle vector are obtained through an obtained final estimated value of the state vector, and finally the penetration rate and the excretion rate are obtained. The method has the advantages that complete data is not needed in each step of an algorithm, the real-time measurement data is obtained in a spiral discrete scanning mode, and the requirement for high time resolution of data collection equipment is reduced; an organizer is described more accurately through the multi-mesooecium kinetic model, and corresponding physiological significance is achieved; median concentration reconstruction errors of an indirect method are avoided; the influence caused by system original state priori knowledge deficiency is eliminated by self-adaptation extended Kalman filtering.
Owner:TIANJIN UNIV

A Method for Automatically Removing Motion Artifacts of Near Infrared Spectral Signals

The invention discloses a method for automatically removing movement artifacts of near-infrared spectral signals. The method includes steps of firstly, computing movement standard deviation of the near-infrared spectral signals, automatically selecting threshold values and marking movement artifact regions of original signals; secondly, decomposing empirical modes of the near-infrared spectral signals to obtain intrinsic mode functions with clear physiological significances; thirdly, computing suspected movement artifact regions of each intrinsic mode function, combining the suspected movement artifact regions with the movement artifact regions, which are obtained in the first step, of the original signals, processing the different intrinsic mode functions and removing the movement artifacts; fourthly, reconstructing the signals. The method has the advantages that the threshold values are automatically selected according to probability distribution features of the near-infrared spectral signals, and intervals containing the movement artifacts are automatically detected according to the probability distribution features of the near-infrared spectral signals; the empirical modes of the near-infrared spectral signals are decomposed, accordingly, the intrinsic mode functions with the clear physiological significances can be obtained, obviously abnormal intrinsic mode functions can be processed, and the movement artifacts can be removed while physiological information in the NIRS (near-infrared spectral) signals can be effectively reserved.
Owner:XI AN JIAOTONG UNIV
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