12 results about "Muscle dysfunction" patented technology

Currently, assessing the severity and progression of symptoms in a subject diagnosed with a muscular disability, in particular SMA involves in-clinic monitoring and testing of the subject every 6 to 12 months. However, monitoring and testing a subject more frequently is preferred, but increasing the frequency of in-clinic monitoring and testing can be costly and inconvenient to the subject. Thus, assessing the severity and progression of symptoms via remote monitoring and testing of the subject outside of a clinic environment as described herein provides advantages in cost, ease of monitoring and convenience to the subject. Systems, methods and devices according to the present disclosure provide a diagnostic for assessing of the axial motor function of a subject having a muscular disability, in particular SMA by active testing of the subject.

The invention relates to the field of medical health monitoring, in particular to a chronic respiratory disease patient muscle health intelligent monitoring and intervention system which comprises a multi-dimensional time-frequency impedance analysis monitoring module, a respiration-movement cooperative training device module and a nutrition management platform. Performing time-frequency domain analysis on the signals by using multi-scale wavelet decomposition, and extracting muscle function characteristic parameters; quantitative evaluation of a respiratory muscle and intestinal muscle collaborative function is realized through phase synchronization analysis, a personalized baseline and a multi-stage early warning threshold are constructed, and early recognition of muscle dysfunction is realized; the training load and the training mode are dynamically adjusted according to the breathing muscle force percentage, and breathing training and swallowing muscle group training are combined; a personalized nutrition scheme is formulated based on muscle function parameters and metabolic states, the system achieves multi-dimensional evaluation of respiratory muscle and intestinal muscle functions, the function degradation trend is found 2-4 weeks ahead of time, and the training effect is improved by about 35%.

The invention discloses a multi-modal data fusion old people muscle dysfunction prediction method and system, and relates to the technical field of muscle dysfunction prediction, and the method comprises the steps: collecting multi-modal muscle function data of a target user; performing functional feature collection on the multi-modal muscle function data to obtain a multi-modal muscle function feature vector, and performing deviation analysis; constructing a multi-channel muscle function degradation prediction model; and obtaining an expected prediction time sequence, inputting the expected prediction time sequence into the multi-channel muscle function degradation prediction model for combined channel prediction, and outputting a muscle dysfunction prediction report. The technical problems that in the prior art, due to the fact that different muscle degeneration rate scenes cannot be adapted, the prediction precision of the muscle function degeneration of the old is low, and the early warning accuracy of dysfunction is poor are solved, and the purposes of accurately predicting the muscle function degeneration of the old and improving the early warning accuracy are achieved. The technical effect of improving the accuracy of muscle function degeneration trend judgment and dysfunction early warning of the old is achieved.

The invention relates to the technical field of bone metabolism disease related markers, in particular to application of CASQ1 protein in preparation of bone metabolism related disease diagnosis and / or screening products. It is found that when the muscle function is abnormal or damaged, the content of CASQ1 protein in exosomes secreted by muscle cells is increased, the exosomes can be transferred to adjacent bone tissue, the osteogenic differentiation of bone marrow mesenchymal stem cells is inhibited, and then bone metabolism disorder is caused. The invention provides a diagnostic kit and a pharmaceutical composition taking CASQ1 protein as a detection target. The diagnostic kit and the pharmaceutical composition are used for early screening and diagnosis of bone metabolic diseases such as myogenic osteoporosis, fracture healing disorder and bone dysplasia. By detecting the content change of the CASQ1 protein in tissues or body fluids, quantitative evaluation of muscle dysfunction related bone metabolism abnormality can be realized, and a new detection means and a biological target are provided for clinical diagnosis and treatment intervention of related diseases.

1. The name of the design product: intermediate frequency therapeutic instrument (golden muscle gun second generation). 2. The use of the design product: for the body skin, it has the effects of analgesia and improvement of local blood circulation, promotion of inflammation dispersion; for the muscle dysfunction after nerve or muscle injury, it has the effect of exciting nerve and muscle. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

An ankle and foot orthotic device biases the foot of a user into dorsiflexion to control drop foot and other conditions caused by neurological or muscular impairment; allowing a user to stand, walk, and participate in desired activities with greater ease and balance. The device resists rapid motions of the foot and assists the user in many aspects of walking including controlling the drop of the foot front after heel strike, stabilizing standing in a neutral position, and strengthening the ability to push off of the toes at the end of the stride.

It was found that nucleic acids for the specific targeting sequences or nucleic acids having the specific sequences have superior suppression activities of MURF1 expression. Pharmaceutical compositions including the nucleic acids as active ingredient are useful for treating or preventing disease accompanied by one or more symptoms selected from the group consisting of decrease in muscle mass, decrease in muscle strength and muscle dysfunction.

The invention discloses an intelligent diagnosis and treatment system for stomatognathic muscle dysfunction, and the system comprises a flexible wearable sensing module which comprises an electromyographic signal collection unit, a strain sensing unit, and a pressure sensing unit; the data preprocessing and communication module comprises a data preprocessing sub-module and a wireless communication sub-module; and the in-vitro intelligent analysis module is wirelessly connected with the data preprocessing and communication module and comprises at least one of the following items: an application program arranged on a mobile terminal, a cloud end or a doctor end platform, and a machine learning algorithm module is arranged in the in-vitro intelligent analysis module and is used for displaying, analyzing, identifying, monitoring, evaluating or diagnosing the information. According to the scheme, the method is used for dynamically monitoring the stomatognathic muscle function state in real time, a multi-mode physiological signal analysis algorithm is combined, a non-intrusive and comfortable wearing physiological data acquisition mode is provided, dynamic visualization of the facial muscle function can be achieved, the early discovery rate of stomatognathic muscle dysfunction is increased through AI model recognition and early warning and other means, and the method is suitable for popularization and application. Doctors are assisted in objective diagnosis.

1. The name of the design product: biofeedback electrical stimulation instrument. 2. The use of the design product: used for collecting, analyzing and biofeedback training of the surface electromyogram of the patient's body, suitable for the auxiliary treatment of muscle dysfunction caused by nerve injury (including swallowing dysfunction and limb movement dysfunction). 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a natural compound for inhibiting disulfide death by taking VAV3 as a target spot and application of the natural compound. Belongs to the technical field of biological medicine and pharmacy. According to the invention, through virtual screening and surface plasmon resonance technologies, seven small molecular compounds, including kaempferol, liensinine, sophocarpidine, isorhamnetin, deoxyshikonin, harmine and potenoside, which can be specifically bound with VAV3 protein are screened from a natural product library for the first time. In a C2C12 cell insulin resistance model, the compounds can significantly reduce the cell death rate caused by disulfide death, and the action mechanism of the compounds is to improve the activity or expression of VAV3, inhibit abnormal accumulation of cystine and improve the NADPH level, thereby effectively preventing disulfide bond crosslinking and collapse of an actin filament network. Experiments show that the compound provided by the invention can effectively inhibit disulfide death of skeletal muscle cells by targeting VAV3, and a new lead compound and a solution are provided for developing drugs for treating diabetic muscle dysfunction and related metabolic diseases.

The present invention relates to methods for obtaining an expanded population of skeletal muscle derived cells (SMDC). The present invention also refers to an expanded population of SMDCs obtained by the method according to the present invention and to an expanded population of SMDCs. Further, the present invention refers to an expanded population of SMDCs for use in a method for treatment of the human or animal body by surgery or therapy or for use as a pharmaceutical composition. In addition, the present invention refers to an expanded population of SMDCs for use in a method of preventing and / or treating neuromyopathies, myopathies and / or muscle dysfunctions such as a urinary and / or an anal incontinence.

The application relates to the field of rehabilitation training course recommendation, in particular to an intelligent course recommendation method and system for rehabilitation training. The method comprises the following steps: receiving user portrait information and original electromyography data; evaluating a pelvic floor muscle evaluation score, a force condition score and a muscle dysfunction severity of a user by using a preset algorithm; matching courses in a course database with the information and the user portrait information to obtain a matching score in each dimension; calculating a total matching degree value by weighting and generating a course recommendation list output; and determining information such as a user advantage item, a disadvantage item, a stage priority order and an improvement urgency, etc. The application achieves the technical effects of accurately evaluating the pelvic floor muscle condition and the training quality of a user and providing personalized rehabilitation training course recommendation for the user.