455 results about "Skeletal muscle" patented technology

The invention relates to the technical field of medical rehabilitation, and discloses a lower limb weight-bearing gait rehabilitation training system which comprises a data acquisition module, a data processing and analysis module, a patient individualized modeling module, an intelligent decision and control module, a rehabilitation execution module and a man-machine interaction and medical information interface module which are in communication connection through a network. The data acquisition module is used for acquiring multi-modal data of a patient in real time, and the multi-modal data comprises static sign data, dynamic physiological parameters, kinematics and dynamics parameters and non-motion physiological and psychological state data; and the data processing and analysis module is used for carrying out preprocessing, feature extraction and deep analysis on the original data, and outputting a structured patient individualized feature vector and an evaluation result. According to the invention, a patient three-dimensional skeletal muscle digital twinborn model is constructed through the patient individualized modeling module, and in combination with a continuous learning intelligent model library, body sign differences of different patients can be accurately adapted.

The invention relates to a multi-person motion capture real-time digital human driving method based on a skeleton-muscle interaction model, and belongs to the field of artificial intelligence and ubiquitous universe. According to the method, the key points of the human body are detected through YOLO-Pose, the positions of the shielding points are obtained through a double-stage dynamic shielding point compensation method, and the accuracy of the key points is guaranteed. And outputting the three-dimensional coordinates of the key points of the human body by adopting a three-dimensional key point depth extractor based on multi-dimensional exclusive-shared feature reasoning in combination with an MT ransPose model. A real person-skeleton model-digital person real-time mapping method is provided, three-dimensional key points are mapped to a standard human body skeleton model, and a digital person role and the skeleton model are bound through a weight mapping algorithm. Based on a skeleton-muscle interaction model, the digital person accurately reflects a real motion posture by introducing the mechanical action of a skeleton rigid body dynamic model and a muscle force line model, and the process of driving the digital person in real time through multi-person motion capture is achieved.

The invention discloses an in-vitro bionic mechanical testing system and method for spinal skeletal muscles, and particularly relates to the field of mechanical testing, and the system comprises a bionic construction module, a finite element modeling module, a multi-axis mechanical loading module, an iterative calculation module and a correction module; through modular design, the system comprises a vertebral body unit, an intervertebral disc simulation assembly and a skeletal muscle simulation unit, each assembly is customized according to anatomical features of a human body, a finite element modeling module is utilized to generate a three-dimensional model, a multi-directional mechanical load is applied, and response data is collected; experimental data are input into the finite element model for iterative calculation, so that stress distribution, a strain field and kinematic deviation are compared; if the error exceeds a preset threshold value, the model parameters and the physical parameters are corrected until the experiment and simulation results converge; and finally, based on the optimized finite element model, predicting a failure mechanism of the spinal skeletal muscle under a complex load, and evaluating the risks of fracture, hairline fracture, nucleus pulposus protrusion and muscle strain.

The invention relates to a biological preparation for improving quality of weever, the biological preparation comprises an injection and an edible agent, the injection comprises chemically modified chemically synthesized single-stranded small RNA, Rev-erbalpha protein and Per1 protein, and the edible agent comprises Clock core peptide 1, Clock core peptide 2 and taurine. Skeletal muscle development, liver lipid metabolism and generation of cell inflammatory factors of the weever are influenced by adding and injecting the feed, so that the quality of the weever is improved, intramuscular fat deposition is promoted, the taste and flavor of fish meat are improved, the energy reserve of the weever can be improved, and the culture cycle is shortened. The improvement of cell inflammatory factors shows that the disease resistance of the weever is improved, the survival rate in the breeding process is further improved, and the use amount of antibiotics is reduced. The method provides an important theoretical basis for improving fish meat quality in China and promoting high-quality, efficient and healthy development of aquaculture, and has a wide market prospect.

Type 2 diabetes (T2D) is a clinical syndrome caused by insufficient insulin secretion for insulin requirements. Described herein are compositions and methods for microphysiological MPS models of disease (MODs) for diabetes. These platforms allow one to compare the effect of chronic β-cell stimulation in the presence and absence of patient specific immune cells in IPSC-derived islets from each group. Additionally, one can reproduce the T2D β-cell phenotype, using islets-on-chips will also be exposed to gluco-lipotoxicity. Likewise, skeletal muscle-on-chips are exposed to patient specific activated immune cells, variable motor neuron innervation and lipids characteristic of T2D.

The invention provides a Slicer-based deep learning fat muscle segmentation method and system, and is applied to the technical field of data processing. The method comprises the following steps: preprocessing preoperative CT image data of a target patient to generate skeletal muscle image features, subcutaneous adipose tissue image features and visceral adipose tissue image features; preprocessing the training sample set, adjusting a window width and a window level, performing normalization processing, and generating target training image data; training a preset fat muscle segmentation model based on a deep learning network based on the target training image data to generate a target fat muscle segmentation model; processing the skeletal muscle image features, the subcutaneous adipose tissue image features and the visceral adipose tissue image features based on a target adipose muscle segmentation model to generate target image segmentation information; and processing the target image segmentation information and the gene detection information of the target patient to generate preoperative early warning information of the target patient.

The exemplified methods and systems facilitate the quantification of cardiac cycle-variability as a metric of signal quality of an acquired signal data set and the rejection, based on that quantification, of said acquired signal data set from one or more subsequent analyses that can predict and / or estimate a metric associated with the presence, non-presence, severity, and / or localization of abnormal cardiovascular conditions or disease, including, for example, but not limited to, coronary artery disease, abnormal left ventricular end-diastolic pressure disease (LVEDP), pulmonary hypertension and subcategories thereof, heart failure (HF), among others as discussed herein. The quantification of levels of cycle-variability assessed noise such as skeletal-muscle-related-signal contamination and muscle-artifact-noise contamination, and other asynchronous-noise contamination in an acquired signal can be subsequently used for the automated rejection of such asynchronous noise from measurements of biophysical signals.

The invention discloses a pig muscle fiber geometric phenotype and spatial distribution characteristic quantification method, and relates to the technical field of cell image information extraction, and the technical key points are that the method comprises the steps: measuring the shape index of muscle fibers through contour data; measuring an overall distribution mode of muscle fibers through contour and type data; measuring the difference between the muscle fiber distribution modes of the two skeletal muscle dyeing images through the contour data and the type data; and analyzing spatial distribution characteristics according to the muscle fiber phenotypic data and the spatial position. The problem that in the prior art, a measurement scheme for the geometric phenotype and phenotype space distribution characteristics of the muscle fibers is lacked is solved, and automatic, systematic and integrated efficient calculation is achieved. The method is expected to provide a rich phenotypic measurement basis for analyzing skeletal muscle phenotypic differences of different pig breeds and different parts, phenotypic association of meat quality and muscle fibers, and a spatial regulation mechanism of cell gene expression in pig muscle tissues.

The invention discloses a skeletal muscle degeneration chronic disease prediction method and device, equipment and a medium. The method comprises the steps of data preparation and privacy protection; initializing and broadcasting a global model; updating a local model and calculating a weight; an AFA adaptive mechanism is applied; aggregating and updating a global model; performing testing and accuracy evaluation; carrying out iterative training and model optimization; disease prediction and early diagnosis. According to the invention, the accuracy and stability of disease prediction can be effectively improved; through the federated learning technology, the risk of privacy disclosure caused by concentrated data storage in a traditional method is avoided on the premise that the privacy of a patient is protected; besides, in combination with an adaptive aggregation strategy, the problem of data heterogeneity between different medical institutions can be solved, malicious or untrusted updates can be effectively identified and filtered, the precision and reliability of a global model are ensured, and the risk of performance reduction or model failure caused by data inconsistency or malicious clients is avoided.

The invention discloses a method for promoting skeletal muscle development and application, and belongs to the technical field of biology. The invention provides a method for promoting skeletal muscle development, an AMPK / p38MAPK pathway is regulated and controlled by activating PPARalpha, the way of activating the PPARalpha is to give a PPARalpha agonist GW7647, and the regulation and control of the AMPK / p38MAPK pathway is shown as reduction of AMPK and P38 phosphorylation levels. Experiments show that the expression of MyoD, MyoG and Pax7 in skeletal muscle can be remarkably improved by activating PPARalpha, the phosphorylation level of AMPK and P38 is inhibited, and therefore muscle fiber proliferation and myoblast proliferation are promoted. The technology can be applied to livestock breeding to improve meat yield or develop drugs for treating skeletal muscle atrophy, and has remarkable economic and clinical values.

The invention relates to a body position auxiliary detection method and system based on DR equipment. The method comprises the following steps: performing coordinate alignment on pressure distribution data and three-dimensional depth information of a patient to generate an initial body position three-dimensional point cloud model; matching a corresponding reference skeleton-muscle model based on the registration information, generating a registered body position three-dimensional model through non-rigid registration, and extracting coordinates of key anatomical mark points; a target structure theoretical projection area is calculated by combining a DR equipment C arm projection angle, an angle deviation vector is acquired by comparing an actual projection boundary, and a dynamic correction mark is generated. According to the method, through space coordinate alignment, personalized model registration and real-time projection angle deviation correction, the accuracy and efficiency of body position placement are remarkably improved, radiation exposure caused by repeated shooting is reduced, and therefore the medical image quality and diagnosis reliability are remarkably improved.

The invention provides a skeletal muscle ultrasonic image recognition method and device based on machine learning, and relates to the technical field of skeletal muscle ultrasonic image recognition. The method comprises the following steps: acquiring skeletal muscle ultrasonic images, and labeling skeletal muscle groups and health conditions corresponding to the skeletal muscle ultrasonic images to form a skeletal muscle image training set; training a convolutional neural network based on multi-scale feature extraction by using the skeletal muscle image training set to obtain a skeletal muscle ultrasonic image recognition model; and utilizing the trained skeletal muscle ultrasonic image recognition model to recognize the health condition of the corresponding skeletal muscle group in the skeletal muscle ultrasonic image. The method solves the problems that a conventional method can only perform a simple classification task for muscle-bone ultrasound, is limited by inherent defects of more noise, unclear tissue structure boundary and the like in an ultrasound image, and cannot complete complex lesion recognition and accurate segmentation of the lesion. According to the method, the analysis precision and efficiency of the complex muscle-bone ultrasonic image are remarkably improved.

The invention discloses a coenzyme Q10-containing medicine for improving heart activity and a preparation method thereof, and particularly belongs to the technical field of biological medicines. The medicine comprises functional components and auxiliary materials, wherein the functional components comprise a cactus extract, a calligonum mongolicum extract, an astragalus membranaceus extract, a sea-buckthorn extract and coenzyme Q10; the hypoxia survival time and the load-bearing swimming time of mice can be remarkably prolonged through low, medium and high dose groups of the medicine for improving the heart vitality, the requirement of fatigue caused by high labor intensity for oxygen is further met by enhancing the immunity of the organism, supply of nutrient substances to the brain, the heart, the bones and the muscles of the organism is enhanced, and the effect of improving the heart vitality is achieved. The composition can regulate the activity of central nervous system, promote the normal operation of the body circulation system, relieve and eliminate fatigue and damage to the body caused by fatigue and chronic fatigue, and quickly recover physical strength.

Disclosed here is the method of treating general inflammation, metabolic health / insulin resistance / glycemic-glucose uptake & management (affecting skeletal muscle, liver, adipose, skin, gut, fibro-connective / joint, kidney, brain / CNS and other tissues), systemic inflammation, Immuno-modulation & Metabolic Syndrome / Nonalcoholic fatty liver disease (NAFLD), and provide Immuno-modulation, Insulin Sensitizing and Immuno-Metabolic benefits with at least one short fatty acid, such as butyrate or butyric acid in form of tributyrin, used in conjunction with one cannabinoid, such as cannabidiol or CBD, and with at least one terpene, such as beta-caryophyllene or BCP.

The invention belongs to the field of external application, and particularly relates to a preparation method of glucosamine chondroitin cream for relieving discomfort of bones, muscles and ligaments, which comprises the following steps: collecting preparation node characteristic indexes of linear preparation nodes and characteristic indexes of purification liquid and centrifugal tubes of purification equipment of the preparation nodes at all levels, and dividing the linear preparation nodes into preposed and continuous preparation nodes; a purification result of the front purification equipment of the front preparation node is input into the continuous purification equipment of the continuous preparation node to serve as a purification raw material; according to the concentration information of the pre-purification equipment and the continuous purification equipment, the purification intermediate waste amount of a linear preparation node, the natural oxidation raw material amount and the corresponding glucosamine chondroitin cream increment are calculated by combining the characteristic indexes of the preparation node and the characteristic indexes of the purification liquid and the centrifugal tube; and the purification equipment of the linear preparation node is scheduled, so that the purification equipment runs in an optimized state. The method reasonably reduces purification intermediate wastes, optimizes the purification liquid, effectively fuses products in an environment range, and brings great economic benefits to enterprises.

Disclosed herein are system-related compositions based on clustered regularly interspaced short palindromic repeats (CRISPR) / CRISPR-associated (Cas) 9 and methods of using the system-related compositions based on CRISPR / Cas9 for altering gene expression and genome engineering. Also disclosed herein are compositions and methods of using the compositions for altering gene expression and genome engineering in muscles such as skeletal muscle and cardiac muscle.

The invention provides an eye muscle derived compensatory head position auxiliary identification device based on instantaneous eye movement capture, and relates to the technical field of medical instruments, the eye muscle derived compensatory head position auxiliary identification device comprises a rotary video playing module, a skeletal muscle key point capture module, a capture module and a photo output module; the detected person watches the video, the video rotates in the reverse direction from the compensatory head position to the horizontal position, if the head position at the horizontal position is not improved, the video rotates towards the compensatory head position, in the rotating process, skeletal muscle key points capture the opposite sides of face and neck key points of the detected person and the head position is digitized, a capture module is started, photos are automatically captured, and eye position abnormity is analyzed through the photos; when eye position abnormity exists in the snapshot image, the snapshot image can be determined as an eye muscle source compensatory head position, and when the head position improvement is not obvious, one eye of the examiner is covered, and the other eye continues to watch the video. And the detected person watches the video, and after the video stops rotating, the head position and the fixation point are kept stable until the photo is automatically captured. When the head position of the snapshot image is improved, the head position can be clearly determined as the eye muscle-derived compensatory head position.

The invention discloses application of a bifidobacterium animalis subspecies F1-3-2 in preparation of a medicine for preventing or treating sarcopenia, belongs to the technical field of microorganism application, and provides application of the bifidobacterium animalis subspecies F1-3-2 in preparation of the medicine for preventing or treating sarcopenia. The invention relates to an application of bifidobacterium animalis subspecies F1-3-2 in preparation of a medicine for correcting intestinal flora imbalance caused by sarcopenia. The invention finds that the bifidobacterium animalis subspecies F1-3-2 can effectively improve the skeletal muscle quality of mice with sarcopenia, improve the condition of tension reduction, improve the level of serum markers in sarcopenia, regulate the homeostasis of intestinal flora so as to relieve muscular atrophy, prepare freeze-dried bacterial powder and enrich products for improving sarcopenia.

To provide gene therapy vectors, such as adeno-associated virus (AAV) vectors, expressing a miniaturized human micro-dystrophin gene, and a method of using these vectors to express micro-dystrophin in a skeletal muscle including a diaphragm and a cardiac muscle and to protect muscle fibers from injury, increase muscle strength and reduce and / or prevent fibrosis in subjects suffering from muscular dystrophy.SOLUTION: In one embodiment, the present invention provides a rAAV vector comprising a nucleotide sequence of a muscle-specific control element and a nucleotide sequence encoding a microdystrophin protein.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of low-frequency vibration isolation, and particularly discloses a bionic composite low-frequency anti-overturning vibration isolator and method.The vibration isolator is characterized in that a first platform and a second platform are connected through a bionic skeletal muscle vibration isolation assembly, and the second platform and a third platform are connected through a bionic fat damping assembly; the bionic skeleton muscle vibration isolation assembly comprises two sets of vibration isolation units which are symmetrically arranged. Each vibration isolation unit comprises a rhombus structure, a first extension spring is connected between two hinge shafts in the long diagonal direction of the rhombus structure, and the other two hinge shafts of the rhombus structure are connected with linear motors through couplings. Second extension springs are connected between the two hinge shafts in the long diagonal direction of the rhombic structure and the second platform correspondingly, and third extension springs are connected between the two hinge shafts in the long diagonal direction of the rhombic structure and the first platform correspondingly. According to the invention, the low-frequency vibration can be suppressed, so that the vibration reduction effect of almost full frequency band is realized.

The invention relates to the technical field of muscle ultrasonic image analysis, in particular to a skeletal muscle texture feature extraction method for sports injury assessment. The method comprises the following steps: firstly, extracting an edge line, an edge direction and a texture region in an ultrasonic image; further analyzing the motion injury condition of each texture area, and weighting the texture directions of all the texture areas by taking the motion injury index as a weight to obtain the run length direction of the ultrasonic image; further, according to the gray value and spatial distribution of foreground pixel points in the amplitude spectrum, in combination with the gray fluctuation of a to-be-analyzed pixel sequence in the run direction and the run direction, a multi-dimensional index adjustment gray run matrix is constructed, skeletal muscle texture features are adaptively extracted, and the skeletal muscle texture feature extraction precision of sports injury is improved.

This disclosure provides a secretion centric therapy to overcome muscle wasting. Provided are mesenchymal stem cell secretion-based therapies to overcome muscle wasting due to: old age; as a consequence of immobilization (e.g., mobility restricted or paralytics administered); due to use of ventilators (e.g., in an ICU or long-term immobilization); in microgravity during long space flights; or, resulting from drug side effects (e.g., the use of weight loss drugs, chemotherapies, etc.). This disclosure further provides methods and compositions for modulating, including regulating or altering, the structure and function of diaphragm muscle cells and / or diaphragm muscle fibers in particular, and skeletal muscle in general. In certain embodiments extracellular vesicles are applied to patients affected by muscle wasting.

The present invention relates to methods for obtaining induced smooth muscle cells (iSMCs), iSMCs, iSMCs for use in a method of treating a disease or disorder or for use in tissue engineering, and the use of skeletal muscle derived cells for obtaining iSMCs.

The invention relates to the technical field of ultrasonic evaluation, in particular to a skeletal muscle state evaluation method and system based on multi-modal ultrasound, and the evaluation method comprises the following steps: collecting skeletal muscle multi-modal ultrasonic images after treatment twice through an ultrasonic detection instrument, the multi-modal ultrasonic image comprises an ultrasonic B ultrasonic image, a color ultrasound image and an elastic imaging image; acquiring a first target parameter from the multi-modal ultrasonic image acquired for the first time, and acquiring a second target parameter from the multi-modal ultrasonic image acquired for the second time; according to the first target parameter and the second target parameter, generating a repeated detection instruction on the ultrasonic detection instrument, or generating a real-time target parameter; and a hidden Markov model is adopted to obtain a hidden sequence about the real-time target parameters, and the hidden sequence and part of the real-time target parameters are used as input of an evaluation network to generate a rehabilitation effect analysis result.

The invention discloses application of an FGF9 gene in regulation and control of growth and development of chicken skeletal muscles, and further discloses application of an overexpression vector of the FGF9 gene or an interference fragment of the overexpression vector in promotion or inhibition of proliferation and differentiation of chicken myoblasts. The invention also discloses a specific primer pair for detecting the expression quantity of the FGF9 influencing the growth and development of the chicken skeletal muscle. The invention also discloses a detection kit and a detection method thereof. The detection kit provided by the invention can be used for detecting the expression quantity of the FGF9 gene in chicken muscle tissues and myoblasts, and the detection method is simple and quick. The FGF9 gene can be used as an important gene for researching a chicken skeletal muscle growth and development regulation theory.

The invention relates to the technical field of human body measurement, and discloses a body index evaluation device, method and system. The basic concept is that the body fat rate of a user is calculated according to the waistline and gender of the user; combining the body fat rate with the height and the weight to calculate one or more of fat mass, subcutaneous fat weight, visceral fat weight, visceral fat grade, segmental fat weight, skeletal muscle weight, segmental muscle weight, sarcopenia evaluation, moisture weight, mineral weight, protein weight and cell moisture of the user; the calculation method of the body fat rate is as follows: the male body fat rate is equal to 36.4-((110-waistline) * 0.6), and the female body fat rate is equal to 48-((110-waistline) * 0.6); and the value range of the waistline is 60 to 110 cm. According to the method, accurate data are obtained through calculation, the user can make preliminary body screening in multiple aspects with extremely low cost, and the method can be used for the category of obesity and sarcopenia so as to reduce the cost of screening related diseases by the government.

Provided are methods of obtaining large scale cultures of muscle-derived muscle precursor cells (MPCs) using microcarriers as growth matrices, methods for obtaining therapeutically effective amounts of these cells, populations of cells obtained by the methods, and compositions comprising expanded cells, and a method for preparing a medicament, for example for the treatment of skeletal muscle dysfunction.

The invention discloses a skeletal muscle ultrasonic image processing system and method for ultrasonic detection, and belongs to the technical field of medical ultrasonic image processing.The skeletal muscle ultrasonic image processing method comprises the steps that after a skeletal muscle ultrasonic image is subjected to non-local mean value dynamic filtering denoising, the contrast ratio of the skeletal muscle ultrasonic image is enhanced through nonlinear gray level transformation, and the skeletal muscle ultrasonic image is obtained; skeletal muscle areas are segmented by using the spatial continuity and similarity of skeletal muscles; on the basis of the segmented skeletal muscle region, carrying out binaryzation on a skeletal muscle ultrasonic image, calculating fractal dimensions by utilizing grid sliding statistics and weighting processing, constructing and smoothing a tensor model, calculating a main characteristic value and a characteristic vector, and positioning a skeletal muscle atrophy region through threshold judgment and clustering analysis; and performing labeling post-processing on the skeletal muscle ultrasonic image to generate a skeletal muscle ultrasonic image labeling report. The objective of the invention is to solve the technical problems of denoising, contrast enhancement, region segmentation, texture complexity quantification, atrophy region positioning, annotation report generation and the like of skeletal muscle ultrasonic images.

The invention discloses a 7-azaindole compound as well as a preparation method and application thereof, belongs to the field of medicine synthesis, and particularly relates to a pyrazole or indole substituted 7-azaindole compound as shown in a general formula (I) as well as a preparation method and application thereof in medicine. According to the compound disclosed by the invention, tumor cachexia skeletal muscle atrophy is relieved by inhibiting ActRIIB protein in an MSTN pathway, and a remarkable tumor cachexia resisting effect is achieved. Experimental results show that the compound has good anti-cachexia activity and can be further used for preparing novel anti-cachexia drugs. # imgabs0 #