22 results about "Tissue metabolism" patented technology

The invention relates to the technical field of medical care, and provides a patient risk dynamic assessment system in medical care teaching, which comprises a data acquisition module used for acquiring multi-modal image data of a postoperative gastric organ anastomosis area of a patient; the data processing module is used for preprocessing the multi-modal image data, establishing a three-dimensional model of organs around the anastomotic stoma and analyzing edge features of the anastomotic stoma; and the risk assessment module is used for constructing an anastomotic stoma state assessment model and outputting comprehensive scores of an anastomotic stoma blood perfusion condition, a tissue metabolism abnormal probability, an anastomotic stoma leakage risk, anastomotic stoma scar hyperplasia and healing trend prediction. A quantum dot fluorescence image, a Raman spectrum image, a CT image and an intraoperative high-definition white light image are enhanced through the system and evaluated, a nursing scheme is obtained in combination with opinions of medical staff, and compared with manual evaluation of the medical staff, the accuracy is higher, the feasibility of the nursing scheme is higher, and medical nursing use is facilitated.

The invention relates to the technical field of animal body component detection, and provides a portable animal body component analyzer, which comprises a data acquisition module, a data processing module, an analysis module, a data processing module, an analysis module and an analysis module, wherein the data acquisition module is responsible for acquiring multi-frequency bioelectrical impedance data and near infrared spectrum data of domesticated pets; the data processing module is used for carrying out noise filtering, dynamic baseline correction and normalization processing on the collected original data; the algorithm analysis module uses a variety inference and dynamic correction method to correct data errors, extracts body fat distribution, tissue metabolism and body fluid distribution characteristics through a multi-modal data fusion method, and calculates growth and development health scores through an integrated learning supervision model; the database management module stores individual information, appearance characteristics, measurement data and analysis results, and supports data query and backtracking; the user interface is used for inputting animal information and hair states and displaying analysis results, variety similarity, body composition change trends and health scores.

The embodiment of the invention provides a delivery progress prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring three-dimensional point cloud data of a pelvis area through a radar sensor; acquiring tissue metabolism state data of a cervical orifice area and acquiring uterine contraction pressure data; obtaining delivery multi-modal data according to the three-dimensional point cloud data, the tissue metabolism state data and the uterine contraction pressure data, performing feature extraction on the delivery multi-modal data to obtain soft tissue deformation features, cervical state features and current uterine contraction features, and performing cross-modal feature fusion to obtain delivery multi-modal features; performing open finger prediction based on the delivery multi-modal features to obtain open finger prediction data; the delivery process is predicted based on the open finger prediction data, the delivery progress is obtained, the delivery process prediction method and device can be applied to business systems needing a large number such as health care, and the delivery process prediction efficiency and precision can be improved.

The present invention relates to a composite probiotic for preventing, alleviating or treating hyperlipidemia, wherein the composite probiotic comprises Bifidobacterium animalis subsp. lactis with a preservation number of GDMCC No: 65455. Bifidobacterium animalum subsp.lactis C‑2 strain and Lactobacillus fermentum with the deposit number CGMCC No.28336 Lactobacillus fermentum GLF-217 strain. There is a potential interaction between the two strains, which can cooperate with each other and enhance synergy. The combination of the two strains significantly improves the effect of preventing, alleviating or treating hyperlipidemia. Specifically, it can significantly reduce body weight and fat content, improve blood sugar and blood lipid levels, regulate immunity and increase antioxidant levels, regulate adipose tissue metabolism, and improve gastrointestinal short-chain fatty acid metabolism.

The utility model discloses handheld multi-mode tissue metabolism monitoring equipment, which relates to the technical field of medical instruments and comprises a box body, a stirring component is mounted in the box body and comprises a first motor mounted in the box body, the output end of the first motor is rotatably connected with a worm, the outer wall of one side of the worm is meshed with a worm gear, and the worm gear is meshed with the output end of the first motor. The outer wall of the side, away from the worm, of the worm gear is fixedly connected with a first connecting rod, the end, away from the worm gear, of the first connecting rod is rotationally connected with a second connecting rod, and the end, away from the first connecting rod, of the second connecting rod is rotationally connected with a third connecting rod. According to the utility model, the stirring assembly reciprocates up and down while rotating, so that the stirring rod can fully cover a sample in a three-dimensional space, errors caused by non-uniform stirring are reduced, the accuracy and reliability of a detection result are improved, and the stirring efficiency is accelerated.

The invention provides an emergency rescue immersive visual communication system based on virtual reality, and relates to the technical field of augmented reality. Physical deformation data and tissue metabolism data of a patient are deeply fused by introducing a space-time coupling dynamic model, and the technical span from state monitoring to risk prediction is realized; the space-time coupling perfusion-metabolism kinetic model is configured to fuse the first data representing the physical deformation state and the second data representing the tissue metabolism state so as to generate a predictive indication signal for early warning the metabolic failure risk at the future moment. The conversion from passive response to active prevention is realized, and a precious time window is won for rescue by providing prospective risk early warning; and meanwhile, the decision-making efficiency and accuracy of remote guidance are improved, and the cognitive load and misjudgment of experts are reduced by superposing multi-dimensional dynamic early warning information containing risk levels, deterioration trends and fundamental inducements in an augmented reality view.

The magnetic therapy band comprises a magnetic therapy band body, the middle of one face of the magnetic therapy band body is covered with a silica gel sheet, the middle and the two sides of the other face of the magnetic therapy band body are each provided with a hook-and-loop fastener male buckle, and the silica gel sheet is evenly provided with a plurality of small holes at intervals. NdFeB magnetic sheets are arranged in the small holes, a first connecting band and a second connecting band are arranged at the two ends of the magnetic therapy band body respectively, length adjustment is achieved through magic buckles, and the magnetic therapy band meets the physical therapy requirements of different body parts. Through a strong static magnetic field generated by the neodymium iron boron magnetic sheets, a human body biological magnetic field is simulated, biological electromagnetic energy of channels and collaterals is enhanced, channel qi running and local blood circulation are promoted, tissue metabolism is improved, pain is relieved, lesion is prevented, the length of the magnetic therapy belt can be flexibly adjusted according to the using position through the design of the magic buckles, and multiple purposes are achieved through one belt; and the device is suitable for knee joints, gums, wrists, ankles and waists, and is convenient for users to use at any time at home or when going out.

The invention relates to an alkaloid liposome, a preparation process thereof and an application of the alkaloid liposome in an external preparation, and belongs to the technical field of external preparations. The technical problem to be solved is to provide an alkaloid liposome technology which is higher in stability, safe and non-irritating. According to the scheme, the alkaloid liposome technology is characterized in that raw materials comprise alkaloid, hydrogenated lecithin, grease, polyhydric alcohols and water; the alkaloid is selected from at least three of piperine, tetrahydropiperine, tetrahydropalmatine, dihydrooat alkaloid D, caffeine and leonurine; the hydrogenated lecithin is selected from at least one of PHOSPHOLIPON80H or PhoslipTM HPC (Hydroxyethyl Propyl Phosphatidylcholine). The liposome is good in stability and low in irritation, and has the effects of promoting local tissue microcirculation, reducing choked flow rate, increasing local body temperature, enhancing tissue metabolism and improving local inflammation when being externally applied to skin.

The present application relates to yellow rice wine preparation technical field, especially to a kind of mixed grain health-care yellow rice wine and preparation method thereof.The present application provides a kind of mixed grain health-care yellow rice wine, which is prepared from the following components by mass fraction: waxy millet 40-60 parts, waxy rice 30-40 parts, waxy millet 20-30 parts, waxy sorghum 13-17 parts, Chinese medicine compound 10-14 parts and fermentation inoculum 10-14 parts;The yellow rice prepared by the present application has bright color, refreshing taste, pure and elegant wine quality, unique flavor, and is rich in nutritional elements and Chinese medicine fermentation, which can promote blood circulation, promote tissue metabolism and enhance cell vitality.Long-term drinking not only has good health effect, but also can beautify and nourish skin.

The present invention relates to Bifidobacterium longum subsp. longum C-5 with the efficacy of regulating body weight and its application. The taxonomic naming of the Bifidobacterium longum subsp. longum C-5 is Bifidobacterium longum subsp. longum , and the preservation number is GDMCC No: 64542, and the preservation date is April 22, 2024. This strain can improve the efficacy of obesity, hyperlipidemia, or inflammatory bowel disease caused by a high-fat diet through various action mechanisms such as regulating blood glucose and lipid levels, improving oxidative stress response, regulating adipose tissue metabolism, and alleviating liver injury or colonic tissue inflammation, significantly improving the symptoms of metabolic disorders, and providing coping strategies and reference basis for the prevention and treatment of obesity.

The invention relates to the technical field of medical data models, in particular to a brain small vessel model generation method and system based on multi-modal data. The method comprises the following steps: acquiring a multi-modal nerve image data set, analyzing brain small vessel morphology, hemodynamic information and peripheral brain tissue microstructure features based on the multi-modal nerve image data set, and generating a cerebral vessel multi-dimensional parameter set; based on the cerebral vessel multi-dimensional parameter set, analyzing interaction between abnormal blood vessel wall structure and local blood flow disorder and cross-scale influence of blood vessel-brain parenchyma interface substance exchange disorder on tissue metabolism to obtain a cerebral small vascular disease physiological coupling information set; and on the basis of the brain small vessel disease physiological coupling information set, by taking fusion of multi-modal features and reduction of a pathophysiological process as targets, generating a high-fidelity brain small vessel digital model, and outputting a comprehensive assessment report of occurrence and development risks of the brain small vessel disease. And an accurate risk assessment basis is provided, and making of an individualized treatment scheme is assisted.

The invention relates to the technical field of medical instruments, and provides an intelligent hand rehabilitation orthosis and a control method thereof. The driving mechanism comprises an arm ring and a driving part; the monitoring mechanism comprises an inertial sensor, a myoelectricity sensor and a biological impedance detection electrode; a training model for rehabilitation training is pre-stored in the control mechanism, and the control mechanism is electrically connected with the driving component, the inertial sensor, the myoelectricity sensor and the biological impedance detection electrode. According to the intelligent hand rehabilitation orthosis, the inertial sensor, the myoelectricity sensor and the biological impedance detection electrode are integrated, and synchronous quantitative monitoring of the movement function, neuromuscular activation and the local tissue metabolism environment is achieved in a single orthosis. Based on a preset machine learning fusion model, multi-source sensing data are fused to generate comprehensive physiological status indexes, sub-clinical abnormal modes such as myoelectricity median frequency reduction and impedance abnormal fluctuation can be actively recognized, and early warning is conducted before muscle functional fatigue or spasm attack.

1. Name of the product in this design: Continuous Lactic Acid Monitor. 2. Application of this design: A medical device that reflects tissue metabolism and physiological state by real-time detection of changes in lactate levels in the body. Its core applications are mainly reflected in the fields of intensive care, sports medicine, scientific research monitoring and special scenario assessment, for real-time monitoring of lactate levels in the body, and assessment of tissue metabolism, hypoxia or exercise load, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The method for processing metabolomics tissue samples of the present invention comprises the following steps: cleaning the human metabolomics tissue samples with physiological saline; placing them in a first homogenization vessel, a second homogenization vessel and a third homogenization vessel, and then adding reagent 1, reagent 2 and reagent 3 respectively to the first homogenization vessel, the second homogenization vessel and the third homogenization vessel for grinding; transferring the metabolomics tissue samples in a uniform liquid state to a first collection device, a second collection device and a third collection device respectively, and immediately centrifuging the first collection device, the second collection device and the third collection device in a low-temperature centrifuge that has been balanced to 4°C to obtain supernatant, which is the three tissue metabolomics samples.

The present invention relates to a method for classifying tissue metabolic stress based on quantitative analysis of lipid and protein components, belonging to the field of biomedical technology. The specific steps include slicing a biological tissue sample to be measured to prepare a tissue slice sample, performing label-free imaging on the protein signal and / or lipid signal of the tissue slice sample through nonlinear optical imaging technology, quantitatively analyzing the protein signal and / or lipid signal based on the label-free imaging result, and classifying the biological tissue based on the quantitative analysis result to distinguish the metabolic stress type of the biological tissue sample as sensitive type or resistant type. Using this method to classify the metabolic stress of the tissue sample to be measured not only avoids the complex operations and long detection cycles of traditional labeling methods, but also provides comprehensive information on tissue metabolic components, enabling a deeper understanding of the metabolic process and the impact after metabolic intervention, thereby developing new treatment strategies to intervene in metabolic-related diseases, and having broad application prospects and significant beneficial effects.

The present application relates to the technical field of animal body composition detection, and provides a portable animal body composition analyzer, which comprises a data acquisition module responsible for acquiring multi-frequency bioelectrical impedance data and near-infrared spectrum data of domestic pets; a data processing module for carrying out noise filtering, dynamic baseline correction and normalization processing on the collected original data; an algorithm analysis module for correcting data errors by using breed inference and dynamic correction methods, extracting body fat distribution, tissue metabolism and body fluid distribution characteristics by using a multi-modal data fusion method, and calculating a growth and development health score through an integrated learning supervised model; a database management module for storing individual information, appearance characteristics, measurement data and analysis results, supporting data query and backtracking; and a user interface for inputting animal information and hair state, and displaying analysis results, breed similarity and body composition change trend and health score.

The invention provides anti-aging gel as well as a preparation method and application thereof, and belongs to the technical field of cosmetics. Enabling tetrahydrogeraniol to react with succinic acid and cell penetrating peptide in sequence to prepare a penetration enhancer; the preparation method comprises the following steps: reacting hyaluronic acid with an oxidizing agent to prepare oxidized hyaluronic acid; the preparation method comprises the following steps: reacting carboxyethyl chitosan with carbohydrazide to prepare carbohydrazide modified carboxyethyl chitosan; the preparation method comprises the following steps: embedding notoginsenoside, resveratrol, vitamin E and coenzyme Q10 through lipidosome to prepare active lipidosome; dissolving carbohydrazide modified carboxyethyl chitosan in water, adding a penetration enhancer and active lipidosome, uniformly mixing, then adding an oxidized hyaluronic acid aqueous solution, and stirring to form gel, thereby obtaining the anti-aging gel. The prepared anti-aging gel has good moisturizing, anti-aging, anti-oxidation and anti-inflammatory effects, tissue metabolism and repair are accelerated, and meanwhile, the anti-aging gel is good in stability, good in transdermal absorption effect, low in irritation and high in safety and has wide application prospects.

The application discloses an alkaloid liposome and a preparation process and application thereof in external preparations, and belongs to the technical field of external preparations. The technical problem to be solved is to provide an alkaloid liposome technology with higher stability and safety and no irritation. The scheme points are that raw materials include alkaloids, hydrogenated lecithin, oil, polyhydric alcohol and water; the alkaloids are selected from at least three kinds of piperine, tetrahydropiperine, fumarine, dihydroavenanthramide D, caffeine and leonuride; the hydrogenated lecithin is selected from at least one of PHOSPHOLIPON 80H or Phoslip HPC. The liposome has good stability and low irritation, and has the effects of promoting local tissue microcirculation, reducing resistance, improving local inflammation, improving local body temperature, enhancing tissue metabolism and the like when being used externally on the skin.

The invention relates to the technical field of limb nursing, in particular to a critical nursing limb massage device integrated with a respiratory training function. Comprising fixing frames, the two fixing frames are connected in a sliding mode, lifting mechanisms are arranged on the two fixing frames and used for adjusting the height of the fixing frames, and a movable mechanism is installed on one fixing frame. Through the moving mechanism, the adjusting mechanism, the air bag massager and a plurality of motor driving systems, composite motion training such as passive flexion and extension and abduction and adduction of the upper limbs and the lower limbs of a patient can be automatically completed, complications such as joint stiffness, amyotrophy and deep venous thrombosis caused by long-term bed lying are effectively prevented, the rehabilitation efficiency and nursing consistency are remarkably improved, and the rehabilitation effect is good. In addition, rhythmicity air pressure stimulation can be applied to muscle groups of four limbs while joint movement is carried out, muscle spasm and abnormal tension are gently and effectively relieved, local tissue metabolism is improved, and the rehabilitation effect is further enhanced.

The invention discloses a tissue metabolism fingerprint detection method based on solid-phase mass spectrometry, application of the tissue metabolism fingerprint detection method in a gastric cancer diagnosis prognosis model and a metabolite combination, and relates to the field of molecular detection.Metabolite is extracted through methyl alcohol, dewaxed through heating, in-situ captured through nano-particles, sample application is conducted through a sample priority strategy, and the tissue metabolism fingerprint detection method based on solid-phase mass spectrometry is obtained. The invention develops an FFPE tissue metabolism fingerprint rapid analysis technology based on nano-particle enhanced laser desorption ionization mass spectrometry (NPELDI-MS). On the basis of the optimized tissue metabolism fingerprint extraction method in combination with a machine learning model, tissue metabolism fingerprint combined machine learning feature screening and diagnosis, typing and prognosis model construction are realized, and a high-efficiency, low-sample-consumption and low-cost metabolism fingerprint analysis technology is provided; and integrated application of cancer diagnosis, subtype differentiation and prognosis prediction is realized.

The invention relates to the technical field of burn treatment AI energy evaluation, and discloses a burn patient energy evaluation system based on an AI technology. The system comprises an image analysis unit, a stage marking unit, an energy baseline generation unit, a multi-modal fusion unit and a convolutional neural network unit. An infrared thermal image of a burn area is registered with a standard anatomical partition, a tissue metabolism activeness score of the partition is calculated, and a dynamic energy baseline is generated in combination with a time label of a disease course record. And further fusing the continuously monitored resting metabolism rate and blood biochemical indexes, and generating a partition energy time sequence curve after calibration. And splicing the time sequence curve and the thermal imaging feature map, inputting the spliced time sequence curve and the thermal imaging feature map into a three-dimensional convolutional neural network for spatio-temporal feature extraction, and predicting the energy demand of each anatomical partition in the future. According to the method, regional, dynamic and accurate evaluation and prediction of the energy metabolism state of the burn patient are realized, and a basis is provided for individualized nutrition support.

The invention discloses an FELDI nano-particle chip kit and application thereof in screening metabolic marker combinations, and relates to the technical field of biology. The FELDI nano-particle chip kit comprises a methanol solution and a microarray chip which is pre-coated with iron nano-particles, the kit is used for dewaxing tissue slices, the tissue slices are immersed in a methanol solution and incubated to obtain a sample, and the sample is applied to a microarray chip pre-coated with iron nanoparticles; a colorectal cancer tissue metabolism fingerprint database is constructed, and specific metabolism markers combined with L-cysteine, adipic acid, decanoic acid, azelaic acid, pentadecanoic acid, stearic acid and isolithocholic acid are screened. The invention develops an unmarked iron nanoparticle enhanced laser desorption ionization mass spectrometry technology platform, and the small molecule metabolites can be directly and efficiently captured and ionized from the formalin-fixed paraffin-embedded CRC primary tissue section. And screening out a specific small molecule metabolism marker combination for distinguishing lymphatic metastasis and non-metastasis.