20 results about "Oxygen metabolism" patented technology

The invention discloses a rehabilitation training evaluation system for dealing with schizophrenia patients, and relates to the technical field of data processing, the evaluation system comprises a multi-modal sensing module, an edge intelligent processing module and a dynamic graph network evaluation module; according to the technical key points, neurophysiology, behavior tracks, cognitive functions and environmental parameters are fused to form a'microscopic neural activity-mesoscopic behavior performance-macroscopic environment interaction 'full-dimension evaluation network, for example, the recessive decoupling phenomenon of'reduced brain oxygen metabolism but normal autonomic nerve function' of a negative symptom patient can be synchronously captured, and the accuracy of the evaluation network is improved. The method comprises the following steps of: firstly, quantifying the coordination and causality of data of different dimensions through a dynamic graph network, disclosing a dynamic association path of insufficient activation of a forehead cortex, social attention distraction and cognitive task error rate increase, and providing a visual basis for mechanism research and intervention target selection.

The invention relates to the technical field of health risk assessment, in particular to a neurosurgery risk prediction method and system based on big data analysis, and the method comprises the steps: obtaining the neural signal intensity of a brain region in preoperative functional image data of a patient, analyzing the balance degree of neural signal transmission, and analyzing the balance of oxygen metabolism distribution according to the nerve conduction rate. And preoperative nerve state information is formed. According to the method, by accurately extracting the preoperative neural activity signals and analyzing the signal transmission delay, the fluctuation amplitude and the oxygen metabolism balance, the accuracy of individual neural function state evaluation is improved. In the postoperative recovery stage, the abnormal region is dynamically recognized in combination with the neural signal change trend, and the metabolism matching capacity is evaluated, so that the recovery mode is more refined. Neural network connection adjustment capability analysis enhances signal transmission stability evaluation, and abnormal region identification accuracy is improved by combining time deviation and oxygen metabolism recovery consistency.

The invention provides a tendinopathy rehabilitation training and monitoring system based on electrical stimulation, and the system comprises a detection unit which is used for measuring the electrical impedance of the tendon and muscular tissue of a patient before rehabilitation training, and providing a basis for the initial setting of electrical stimulation parameters; the electrical stimulation unit is used for monitoring the muscle contraction degree, the motion angle and the angular velocity, the blood oxygen metabolism condition of a tendon area and the pressure condition around muscles of the rehabilitation person under electrical stimulation in the rehabilitation training process. A muscle electrophysiological sensor, a joint angle sensor, a near infrared spectrum sensor, a motion capture sensor, a pressure pad sensor and the like are utilized, rehabilitation training conditions can be monitored from multiple aspects, a more detailed rehabilitation training report is generated in combination with various weight ratios, targeted training can be carried out on different individuals, various parameters can be adjusted, and the rehabilitation training efficiency is improved. The training effect is improved, training information can be fed back in time, and doctors can conveniently carry out whole-course coordination management on training.

The invention discloses medicinal and edible mulberry leaf drink substitute tea and a processing method thereof, and belongs to the technical field of mulberry leaf tea drink production. The processing method comprises the following steps: picking mulberry leaves, rinsing with ice water, carrying out synergistic fixation with ginger juice and steam, rolling and forming, dipping with a mulberry polysaccharide-iron compound solution in combination with a low-frequency electromagnetic field, and then treating with a staged oxygen-controlled fermentation process. Wherein the ginger juice steam enzyme deactivation system accelerates enzyme deactivation through the synergistic effect of ginger volatile oil and high-temperature steam under the conditions that the temperature is 105-110 DEG C and the pressure is 0.10-0.25 MPa; the mulberry polysaccharide-iron compound permeates into mulberry leaf cells under the assistance of a low-frequency electromagnetic field, and synthesis of gamma-aminobutyric acid is promoted; in the primary fermentation stage, eurotium cristatum is utilized to carry out anaerobic metabolism under mediation of Fe < 3 + >, and in the secondary fermentation, a metabolic pathway is optimized through combination of lactobacillus plantarum and bacillus subtilis. The prepared tea substitute is rich in GABA (gamma-aminobutyric acid), flavonoid substances and alkaloid substance DNJ, has the physiological effects of reducing blood sugar and blood fat, and can relieve pancreas burden.

The invention discloses a method for realizing exercise health management based on an individualized cardiopulmonary function digital twinborn model. According to the method, CPET (cardiopulmonary function exercise test) data of a user is acquired as a reference and is input into a cardiopulmonary function digital twinborn model, so that the individual cardiopulmonary function limit and sudden acute disease risk prediction of the user is generated, and the purpose of individualized exercise health management is achieved. According to the technical scheme, firstly, a partial differential equation set is adopted to describe an oxygen metabolism chain of respiration-circulation-functional organs, then a digital twinning neural network is used for fitting the metabolism chain, individual characteristics and exercise load parameters are input, and an oxygen metabolism result and human body internal functional characteristic parameters are output; furthermore, the output of the digital twin network is input to the prediction network, so that the cardiovascular disease risk prediction is realized. The generated personalized cardiopulmonary function digital twin model provides a powerful tool for developing more scientific and efficient physical training and early intervention and precise prevention of diseases.

This invention relates to the field of aerobic fermentation equipment for organic waste, specifically a small-scale aerobic fermentation device, including a fermentation cylinder, aeration components, aeration plates, and porous permeation plates. The device employs a layered aeration structure, coupled with an adaptive anti-clogging unit, a vibrating aeration top cover, and a wall-mounted jet structure. This fundamentally solves the problems of easy clogging of aeration holes and uneven oxygen supply in traditional equipment. Through a combination of bottom aeration, wall-mounted oxygen supplementation, and material disturbance, oxygen supply is achieved without dead zones inside the fermentation cylinder. The sawtooth stirring blades increase the air gap between materials, significantly improving the aerobic metabolic efficiency of microorganisms and effectively shortening the fermentation cycle. Simultaneously, a hydraulic circulation component is added to pump highly active bacteria and nutrients from the bottom back into the upper material layer, achieving uniform distribution of bacteria and full utilization of nutrients. This solves the problems of large differences in the maturity of the upper and lower layers and nutrient loss in traditional fermentation, improving the fertility and uniformity of the finished organic fertilizer.

To forecast an AT easily and accurately while eliminating subjectivity.SOLUTION: An anaerobic metabolism threshold forecasting system includes: a first AT forecasting model creation unit that determines at least one sixth criterion on other temporal data and non-temporal data for forecasting an AT by inputting a group of teacher data obtained by cardiopulmonary exercise testing to a first learning model and executing the first learning model, and creates a first AT forecasting model for creating a first AT forecasting model for forecasting an AT on the basis of first to sixth criteria, at least one sixth criterion being different from the first to fifth criteria; and a first AT forecasting unit for forecasting an AT of object data on the basis of first to sixth criteria of the object data by inputting object data including temporal data and non-temporal data of the same kinds as temporal data and non-temporal data included in the teacher data to the first AT forecasting model, and executing the first AT forecasting model.SELECTED DRAWING: Figure 1

This invention relates to the field of high-altitude environmental health monitoring technology, and particularly to an intelligent fusion analysis method and system for brain oxygen signals in high-altitude environments. This method acquires and fuses multi-channel brain oxygen saturation, multi-dimensional physiological parameters, and time-varying environmental data to mine the synergistic characteristics of oxygen metabolism across brain regions and construct a spatiotemporal evolution tensor. Based on this, a multi-scale, time-dependent hypoxia susceptibility dynamic model is constructed, generating a prospective risk assessment benchmark. Furthermore, risk extrapolation and causal chain reconstruction of brain oxygen evolution are performed, outputting structured prediction results and dynamically recalibrating the model. This achieves accurate, prospective assessment and dynamic tracking of individual brain oxygen risk in high-altitude environments.

The invention belongs to the technical field of soil remediation, and discloses long-acting oxygen release particles, preparation and application thereof and a contaminated soil remediation method. The long-acting oxygen release particles are of a double-layer structure comprising inner-layer particles and outer-layer coatings, the inner-layer particles are mixture particles of calcium peroxide and a first adhesive, and the outer-layer coatings are a mixture of a slightly-soluble water-soluble acid coating material with the thickness of 0.01 mm-5 mm and a second adhesive. The long-acting oxygen release particles can be used for replacing an air inlet and exhaust system of a biological reactor, oxygen needed in the bioremediation process is supplemented, sufficient electron acceptors are provided to strengthen the aerobic metabolism process of microorganisms, and the remediation effect of petroleum-contaminated soil is improved.

This utility model discloses a sludge reduction device based on porous packing, belonging to the field of sludge reduction technology. It includes an inlet pipe, a reduction mechanism fixedly connected to its outer surface, a filter assembly movably connected to the inner cavity of the inlet pipe, and an outlet pipe fixedly connected inside the reduction mechanism. A valve is installed on the outer surface of the outlet pipe. Through two aerators and a stirring assembly, air can be supplied to the reaction tank to form a stable aerobic environment, providing sufficient oxygen for the aerobic metabolism of microorganisms and accelerating the decomposition of organic matter in the sludge. Simultaneously, the water flow disturbance generated by aeration and the stirring action of the stirring assembly promote full contact between the wastewater and the biofilm on the porous packing, significantly improving mass transfer efficiency. In this environment, microorganisms can more fully utilize the organic matter in the wastewater, accelerating their own metabolism and sludge decomposition, thus improving sludge reduction efficiency, effectively reducing subsequent sludge treatment costs and environmental pressure, and enhancing the practicality of the device.

The invention discloses a cerebral apoplexy monitoring method and system based on cerebral oxygen metabolism rate imaging, and relates to the technical field of medical care. A cerebral apoplexy monitoring system based on cerebral oxygen metabolism rate imaging comprises a data acquisition and calculation module, a data preprocessing module, a data fusion and imaging module, a brain state prediction module and a comprehensive evaluation and planning module. According to the method, the current brain oxygen metabolism rate of the brain tissue is obtained through formula calculation based on the preprocessed blood oxygen parameter data and the relative blood flow index data, the oxygen supply and oxygen consumption conditions of the brain tissue can be reflected at the same time, the brain oxygen supply and demand state can be comprehensively reflected, more comprehensive evaluation is provided for the brain oxygen metabolism state, and the brain oxygen metabolism rate is improved. And the evaluation accuracy of the cerebral apoplexy monitoring method and system based on cerebral oxygen metabolism rate imaging is improved.

A magnetic resonance imaging device for measuring cerebral oxygen metabolism includes a memory configured to store computer-readable instructions and one or more processors configured to execute the instructions such that the one or more processors is configured to acquire UTE (ultrashort echo-time)-AUSFIDE (alternating unbalanced SSFP-FID & SSFP-ECHO) image data, VS-VSL (velocity-selective venous spin labeling) image data, and pCASL (pseudo-continuous arterial spin labeling) image data, process a plurality of preliminary information data for quantitative model processing and process CBF (cerebral blood flow) information data, acquire variable information (Yv) to derive an oxygen extraction fraction (OEF) and a cerebral metabolic rate of oxygen (CMRO2) in order to acquire a 3-dimensional oxygen metabolic rate map of an entire brain, derive the oxygen extraction fraction (OEF) and the cerebral metabolic rate of oxygen (CMRO2) and generate an oxygen metabolic rate map image as a magnetic resonance image.

The invention discloses a micro hyperbaric oxygen chamber oxygen supply adjusting system based on artificial intelligence assistance, and relates to the technical field of medical equipment control. The system comprises a data acquisition module for acquiring operation state parameters of a micro hyperbaric oxygen chamber and physiological state parameters of an oxygen receiving object to generate an original data set; the data processing module is used for carrying out time sequence synchronization processing on the original data set to obtain a characterization state parameter and a channel uncertainty index; the level construction module is used for forming a comprehensive oxygen metabolism load index through multi-level processing based on the characterization state parameters and the uncertainty indexes of the channels, and dividing oxygen metabolism load levels; and the strategy adjusting module is used for making an oxygen supply adjusting decision according to the oxygen metabolism load level and the characterization state parameter, determining a target adjusting quantity and generating an adjusting instruction. A comprehensive oxygen metabolism load index is constructed through high-precision state evaluation, and safe, intelligent and personalized oxygen supply regulation is realized based on the index.

The present application relates to a kind of based on piezoelectric effect reinforced permeability good oxygen biological reaction wall, piezoelectric material is filled as filler to be filled in permeable biological reaction wall body, the pulse hydraulic pressure produced by the flow field potential energy formed by groundwater extraction is used, the deformation of the surface of piezoelectric material occurs and generates electric charge and forms local electric potential field, stimulate microbial activity, to improve microbial colonization and pollutant degradation capacity.Permeable biological reaction wall is provided with the baffle of hollow fiber membrane assembly, and through super micro bubble aeration, the in-situ aerobic metabolic efficiency of microorganism is increased, the release of volatile and semi-volatile organic pollutants in groundwater is avoided to escape and scatter and influence surrounding environment.The present application realizes long-term efficient groundwater composite organic pollutants green low-carbon sustainable biological process control, significantly improves groundwater composite organic pollution repair efficiency, avoids secondary pollution and repair tailing rebound phenomenon, and realizes long-term groundwater pollution risk management and control.

The utility model discloses an aerobic metabolism monitoring device and a catheter, relates to the technical field of medical equipment, and can improve the monitoring effect. The aerobic metabolism monitoring device comprises a connecting pipe; the first transmitting device is arranged at the first pipe opening of the connecting pipe, and the first transmitting device comprises a first optical fiber; the second transmitting device is arranged at a second pipe opening of the connecting pipe, the first transmitting device comprises a second optical fiber, the second optical fiber is used for emitting a second detection light ray into the connecting pipe, and the second detection light ray and the first detection light ray correspond to different wave band ranges; the aerobic metabolism monitoring device comprises a third optical fiber, and the third optical fiber is arranged on a propagation light path of the first detection light and the second detection light; wherein the first reflection light is obtained by transmitting the first detection light to a target detection position; the second reflection light is obtained by transmitting the second detection light to a target detection position; the first reflection light and the second reflection light are used for reflecting different parameter information of a target detection position.

The present invention provides a nano-assembly, a preparation method thereof and an application. The nano-assembly provided by the present invention has a core-shell structure, including a core composed of a procoagulant and a chemotherapeutic drug and a shell composed of a temperature-sensitive nano-polymer. Moreover, it has good temperature sensitivity and excellent gelation behavior, can be transformed into a high-strength gel, can effectively increase the strength of a blood clot, inhibit the degradation of the blood clot for a long time, is sensitive to pH, is conducive to the release of polyphosphate in blood vessels with a slightly neutral pH value, thereby triggering blood clot embolism, aggravating the anaerobic metabolism of tumor hypoxia, increasing the acidic environment at the tumor site, and further promoting the release of the chemotherapeutic drug by the acidic pH value at the tumor site, thereby improving the targeting property.

A wearable optical device is described for optically detecting parameters of interest within muscle, including oxygenation level and / or hemoglobin concentrations. Detected parameters may be used to assess physical performance, such as the extent to which muscle is utilizing aerobic or anaerobic processes. The wearable optical device may include a pressure sensitive strap. Pressure provided by the strap may affect properties of tissue or sensor measurement, for example, by occluding blood flow or mechanically distorting measured tissue. Pressure sensors may be included in the strap, and may be used, for example, to: examine the heterogeneity of a pressure distribution of the strap, allowing a user to manage pressure consistency throughout measurements using the optical device; determine if pressure affects measurements taken by the optical device; and / or manage levels of blood flow restriction, allowing a user to perform exercises with lower levels of oxygen delivery, such as hypoxic training.

The invention relates to the technical field of physiological spectrum data processing, in particular to a brain oxygen metabolism detection method and system based on a near infrared spectrum. According to the method, main components in light attenuation signals are determined, and low-frequency blood oxygen regulation components reflecting physiological activities or metabolic changes of a user are obtained after the main components are removed. Based on the characteristics between the low-frequency blood oxygen adjusting component and the main signal component, the pulse conduction blood oxygen component is obtained through the modified Lambert-Beer law. The asymmetry between the left brain and the right brain can be analyzed based on the low-frequency blood oxygen adjustment component and the pulse conduction blood oxygen component, the risk comprehensive index is determined through the signal difference between the two components, and then metabolism early warning signals are effectively fed back. According to the invention, through an effective signal decomposition mode, characteristic signals of cerebral vessels in two aspects of blood flow regulation and pulse conduction are obtained, interference of other factors on information is avoided, and an accurate early warning result is obtained.

A kind of individualized cardiorespiratory function digital twin model based on exercise health management method.The method obtains the cardiorespiratory exercise test (CPET) data of user as reference, inputs into cardiorespiratory function digital twin model, generates the cardiorespiratory function limit and sudden illness risk prediction for user, achieves the purpose of individualized exercise health management.The technical scheme adopted by the present application firstly uses partial differential equation set to describe the oxygen metabolism chain of respiratory-circulation-function organ, then uses digital twin neural network to fit the metabolism chain, inputs individual characteristics and exercise load parameters, and outputs oxygen metabolism results and internal function characteristic parameters of human body;Further, the output of digital twin network is input into the prediction network to realize the cardiovascular disease risk prediction.The personalized cardiorespiratory function digital twin model generated by the present application provides a powerful tool for more scientific and efficient physical training, early intervention and precise prevention of diseases.

The invention provides a human body oxygen metabolism analyzer and method based on condensation and water vapor calculation compensation, and relates to the technical field of medical detection equipment. Comprising a gas sampling unit, a condensation unit, a parameter acquisition unit, a gas analysis unit and a calculation processing unit, the gas sampling unit is used for collecting mixed gas of a target user in the breathing process in real time; the condensing unit is used for physically cooling the mixed gas; the parameter acquisition unit is used for acquiring the temperature of the cooled mixed gas; and the gas analysis unit is used for detecting the oxygen concentration in the cooled mixed gas. And the calculation processing unit is used for determining the oxygen concentration of the exhaled gas of the target user in the STPD state according to the breathing ratio of the target user, the temperature of the cooled mixed gas and the oxygen concentration. Accurate measurement of the oxygen metabolism parameters of the human body can be achieved, the equipment cost can be effectively reduced, and the use requirements in different use scenes can be met.