303 results about "Injury brain" patented technology

The invention provides an hemorrhagic brain injury intracranial pressure prediction and early warning system based on a CT image, and the system comprises a data collection module which is used for collecting the original data of a target data source of a target patient; the hybrid model comprises a 3DCNN model used for extracting hematoma spatial features of the head CT image sequence; the LSTM model is used for extracting hematoma time sequence characteristics of the physiological signals; the multi-modal fusion module is used for fusing the hematoma space features and the hematoma time sequence features and outputting hematoma fusion features; the prediction module is used for predicting an ICP sequence of the target patient in a future preset time period based on the hematoma fusion features; the self-adaptive early warning module is used for outputting a visual result based on the predicted ICP sequence in the future preset time period; and through a dynamic threshold adjustment mechanism, adjusting an early warning threshold of the target patient in combination with the case information, and triggering graded early warning in real time. Through personalized data processing and dynamic early warning, accurate, efficient and real-time patient risk management is realized.

The invention discloses application and a preparation method of exosome EGF-FGF-EXO containing double growth factors, the exosome EGF-FGF-EXO is uniform in particle size, high in loading efficiency and good in biological activity, the double growth factors comprise an epidermal growth factor EGF and a fibroblast growth factor FGF, and the epidermal growth factor EGF and the fibroblast growth factor FGF are added into the exosome EGF-FGF. The preparation method of the exosome EGF-FGF-EXO comprises preparation of an induced pluripotent stem cell (iPSC) exosome and loading of EGF-FGF, a recombinant epidermal growth factor (EGF) and a fibroblast growth factor (FGF) are loaded on the exosome from iPS-clone 12c, and the exosome product which has high biological activity and is used for treating nervous system diseases of neuroinflammation is prepared. The invention develops a brand new technical path for treatment of nervous system diseases, and in the fields of epilepsy, neurodegenerative diseases, brain injury and the like, the life quality of patients can be improved and important theoretical basis and technical support can be provided for precise medical treatment of nervous system diseases by precisely regulating and controlling neuroinflammation.

The invention provides a benzofuranone compound as well as a pharmaceutical composition and application thereof, and relates to the technical field of medicines. The benzofuranone compound is a compound as shown in a formula I, a stereoisomer thereof, a tautomer thereof, a crystalline hydrate thereof, a solvate thereof, a prodrug thereof or a pharmaceutically acceptable salt thereof. The benzofuranone compound and the pharmaceutical composition and the pharmaceutical preparation prepared from the benzofuranone compound can prevent or treat organ injury diseases, and have good treatment effects in kidney injury, liver injury, lung injury, brain injury and heart injury.

The invention relates to the technical field of medical instruments, in particular to a sleep monitoring system based on a non-invasive brain oxygen saturation monitor, which comprises a monitoring system and is used for synchronously and dynamically monitoring local brain oxygen in real time, and the monitoring system comprises a non-invasive brain oxygen dynamic monitoring unit used for monitoring the brain blood oxygen saturation of a patient in real time by adopting a near infrared spectrum technology; the multi-parameter synchronous analysis unit is used for integrating the brain oxygen data, the electroencephalogram signals, the cerebral blood flow data and the respiratory event indexes; the intelligent risk assessment engine analyzes a brain oxygen change rule based on a deep learning algorithm, and predicts a brain function impairment risk caused by sleep breathing disorder; in the intelligent risk assessment engine, on the basis of a space-time convolutional neural network, brain oxygen time sequence data and spatial distribution characteristics are combined, and a brain hypoxia mode of the OSA patient is recognized; the method has the characteristic of realizing early warning of the brain injury related to sleep breathing disorder through noninvasive brain oxygen monitoring, multi-parameter fusion analysis and intelligent risk assessment.

The invention provides an individualized TMS target positioning method and system for spastic cerebral palsy children, and aims to realize TMS precise nerve regulation and control for different types of SCP children. According to the method, the structural features of the healthy child are obtained, and after image processing, accurate division of the SCP child brain region is achieved, the defects of a current brain injury child brain region spectrogram are overcome, and a basis is provided for seed point selection of different SCP symptoms; multi-modal image parameter features are further scanned, whole-brain voxel correlation analysis is performed based on seed points to construct functional connection diagrams, the crossed and overlapped functional connection diagrams are searched to serve as a liability focus network of different symptoms, a voxel set close to the scalp surface serves as a TMS target, and SCP child treatment targets of different clinical symptoms are accurately positioned. Based on a focus network mapping technology, functional connection characteristics related to different symptoms or symptom complexes are better positioned, a specific brain network is identified, and an accurate intervention target is provided for TMS treatment.

The present invention belongs to the field of rehabilitation therapy technology and discloses a longitudinal analysis method and system for magnetic resonance imaging data of mild brain injury. The method extracts BOLD signals from the magnetic resonance imaging data of subjects; constructs a symmetric positive definite sparse brain functional connectivity network set of subjects based on sparse inverse covariance matrix estimation; determines the brain functional connectivity network dictionary and sparse coefficient matrix in kernel space based on Riemannian manifold sparse coding; performs spatial distribution analysis of brain functional connectivity atomic networks; and performs longitudinal analysis of magnetic resonance imaging data of mild brain injury. By analyzing the differences in the spatial distribution of these highly present brain functional connectivity atomic networks in the brain, the present invention digs out brain functional connectivity imaging markers for distinguishing the three mild brain injury rehabilitation treatment stages: acute phase, subacute phase, and complete recovery, thereby realizing longitudinal analysis of the mild brain injury rehabilitation process.

The invention provides an automatic segmentation method for a focus of brain injury of a premature infant. The method comprises the following steps: preprocessing a data set; the data set is a brain MRI image of the premature brain injury patient; dividing the preprocessed data set into a training set, a test set and a verification set according to a preset proportion; building an automatic lesion segmentation network model of the brain injury of the premature infant; the network model comprises a network architecture composed of a PAFM module group, a CMSC module group and a 3D-UXNET; inputting the training set into the network model for training, and adjusting hyper-parameters based on the verification set; and inputting the test set into the trained network model to obtain an automatic lesion segmentation result of the brain injury of the premature infant corresponding to the test set. According to the method, features are extracted through multi-scale convolution of the CMSC module, and the capability of segmenting small focuses is enhanced. According to the method, multiple modal data are utilized at the same time, and modal information is fused in parallel through a hierarchical fusion strategy and a PAFM module formed by inter-modal attention and cross-modal attention, so that the segmentation performance of the model is effectively improved.

The present disclosure describes methods of administering N-acetylcysteine (NAC) via intranasal nose-to-brain administration. The effect of intranasal NAC nose-to-brain administration can be monitored using an analytical technique, for example, magnetic resonance spectroscopy (MRS). In some embodiments, intranasal nose-to-brain NAC can be used to treat a condition, for example, a brain injury.

The invention provides a brain injury prediction method and prediction system based on a multivariate feature fusion framework, and relates to the technical field of deep learning. In order to solve the problem that dynamic characteristics and static characteristics cannot be effectively fused when multivariate data damage prediction is carried out by adopting a nonlinear regression method in the prior art, dynamic characteristic data, static characteristic data, dynamic mechanical effect parameters, static influence effect parameters and brain damage degree data under various working conditions of a vehicle are obtained. A dynamic mechanical effect parameter is used as output to train a dynamic prediction model, accurate extraction of a dynamic feature time sequence rule can be ensured, a static influence effect parameter is used as output to ensure extraction of a static feature structured rule, and finally a dynamic feature vector and a static feature vector are used as input of a fusion prediction model. Fusion of a dynamic time sequence rule and a static structured rule is achieved, it is ensured that the two types of features are fully fused, and the prediction result is more accurate.

The invention relates to the technical field of intracranial pressure monitoring, in particular to a craniocerebral injury patient secondary brain injury early warning method based on multi-modal fusion, which comprises the following steps: acquiring intracranial pressure, cerebral blood flow, electroencephalogram signals and brain tissue oxygen partial pressure signals, carrying out denoising and normalization processing, constructing a multi-modal normalized time sequence data set, and carrying out multi-modal fusion on the basis of the multi-modal normalized time sequence data set; and inputting a linear discriminant analysis model to generate a time sequence difference vector, constructing a difference driving map based on a Bayesian dynamic network model, identifying abrupt change nodes, outputting a risk early warning section set, and carrying out trend stability analysis and reconstruction optimization. According to the method, the abnormal state recognition sensitivity is improved through normalized processing of multi-modal signals, enhancement of signal fusion capability, quantitative capture of direction change, reconstruction of spatial relationship between signals, modeling of dynamic transition probability, recognition of abrupt change nodes, combination of time difference vector change, evaluation of signal linkage trend, positioning of risk sections and extraction of parameter features; and the early warning and intervention precision is improved.

A method and device for reducing the damaging effects of a blast or concussive event includes applying pressure to at least one jugular vein to reduce the egress of blood from the cranial cavity during the incidence of the concussive event. Reducing blood out flow from the cranial cavity increases intracranial pressure of the cerebrospinal fluid to reduce the risk of traumatic brain injury and injuries to the spinal column. Reducing blood out flow further increases the intracranial pressure, and thereby increases the pressure of the cochlear fluid, the vitreous humor and the cerebrospinal fluid to thereby reduce the risk of injury to the inner ear, internal structure of the eye and of the spinal column. In addition, increasing intracranial pressure reduces the likelihood of brain injury and any associated loss of olfactory function.

Systems and methods of a safety helmet for protecting the human head against repetitive impacts, moderate impacts and severe impacts so as to significantly reduce the likelihood of both translational and rotational brain injury and concussions may be provided. The helmet may include an outer shell, an outer liner disposed within and coupled to the outer shell, and an inner liner disposed within and coupled in spaced opposition to the outer liner. A damper array may allow for omnidirectional movement of the inner liner relative to the outer liner and the outer shell.

This disclosure describes methods and systems for preventing, moderating, and / or treating brain injury. The methods herein may include obtaining a test result reflecting a condition of a brain in the subject, determining a stimulation parameter based on the test result, and stimulating a nerve based on the stimulation parameter, wherein stimulation of the nerve assists or causes contraction of a respiratory muscle in the subject. The systems herein may include a processor configured to: receive a test result reflecting a condition of a brain in a subject, and determine a stimulation parameter based on the test result; and a stimulator configured to stimulate a nerve based on the stimulation parameter, wherein stimulation of the nerve assists or causes contraction of a respiratory muscle in the subject.

The present invention generally relates to compositions and methods useful for treating a brain injury such as stroke, optic neuropathy, traumatic brain injury, and cerebral palsy. The methods include administering HMCs obtained by in vitro differentiation of pluripotent stem cells and / or extracellular vesicles (EVs) derived from such HMCs (HMC-EVs) into a subject.

The invention relates to a bionic nano CO generator as well as preparation and application thereof, belongs to the technical field of medicines, and solves the problem that a CO delivery system which can synergistically promote neuroprotection and neurogenesis and has brain targeting and controlled release capabilities is urgently required to be developed at present. According to the technical scheme, the bionic nano CO generator comprises a drug-loaded particle inner core and a covering film, the drug-loaded particle inner core comprises hollow mesoporous CeO2 nano particles and MnCO loaded on the hollow mesoporous CeO2 nano particles, and the covering film is a macrophage membrane and wraps the drug-loaded particle inner core. The compound is used for apoplexy treatment administration by integrating neuroprotection and enhancing innovative dual channels of endogenous nerve growth, and is expected to significantly reduce brain injury after cerebral apoplexy and restore neurological functions so as to relieve the worry about high death rate and long-term disability after cerebral ischemia-reperfusion injury.

The invention relates to the technical field of medical equipment, in particular to an intermittent high-oxygen system. The intermittent hyperoxia system provided by the invention can monitor the oxygen concentration, temperature, humidity, pressure and other environmental parameters in the hyperoxia cabin in real time, has alarm and automatic correction functions, can ensure the safety in the hyperoxia treatment process, and avoids the harm to a testee due to the fact that the parameters exceed a set range. The intermittent hyperoxia system can be used for intermittent hyperoxia intervention in the acute stage of ischemic brain injury and other types of brain injury, can effectively improve the neurological function and reduce the cerebral infarction volume, and has important application value and market prospect.

The invention discloses a helmet energy absorption structure design method based on injury mechanics, which comprises the following steps: (1) performing head rotary injury mechanics analysis, performing a head injury analogue simulation experiment based on a head injury mechanics model, analyzing the stress distribution of the head in collision and the influence of the rotary acceleration on the brain injury, and determining the head rotary injury mechanics model; generating rotary damage influence evaluation; (2) selecting a helmet energy-absorbing material and evaluating the performance of a multi-layer material of an energy-absorbing layer, testing the energy absorption performance of foam materials with different densities on the basis of rotary damage influence evaluation, and generating an energy-absorbing material performance optimization result; (3) multi-level design and performance optimization of the energy absorption layer; (4) verifying the performance of the energy absorption layer structure; and (5) comprehensive optimization and design adjustment of the energy absorption layer. According to the helmet energy absorption structure design method based on damage mechanics, transmission and absorption of the rotation acceleration of the head are controlled through an optimization design method, and multi-layer and systematized structural design and optimization are conducted on a helmet energy absorption layer.

The invention relates to the technical field of intelligent monitoring medical treatment of senile chronic diseases, and discloses a hypertensive brain injury early-stage monitoring and evaluation system and method based on multi-mode MRI data, and the system comprises a data collection module, a data preprocessing module, a virtual elastography analysis module, a microcirculation analysis module, a feature extraction and prediction model module, and a data visualization and report module. The method further comprises the steps of multi-modal MRI data collection, data processing, virtual elastic tensor calculation, lymphatic-like system function analysis, image feature extraction, prediction model construction, quantitative report generation and personalized suggestion providing. According to the method, virtual elastography analysis and microcirculation analysis technologies are combined, multi-dimensional data such as cerebrovascular elasticity modulus, blood flow velocity and lymphatic-like system function indexes are integrated, more comprehensive hypertension cerebrovascular injury assessment is provided, and in addition, the accuracy of hypertension cerebrovascular injury assessment is improved by combining a machine learning algorithm and radiomics characteristics. And a high-precision cerebrovascular injury prediction model is constructed.

The application discloses an auxiliary discrimination method for a nasopharyngeal carcinoma radiation-induced brain injury image, a device and a medium, relating to the technical field of medical information. The method comprises: preprocessing an MRI image, segmenting temporal lobe areas, using the MRI image temporal lobe areas and corresponding focus of infection labels to train a slice-level prediction model, and predicting the probability of a radiation-induced brain injury focus existing in a single temporal lobe image area; taking the probability of all slices in each subject containing the focus of infection as the input, wherein the probability is outputted by the slice-level prediction model, and taking whether the subject has radiation-induced brain injury as the output, training a patient-level prediction model; finally, using the trained slice-level prediction model and the patient-level prediction model to obtain the radiation-induced brain injury disease probability of a single nasopharyngeal carcinoma subject, and when a plurality of modes coexist, taking a plurality of modal prediction results to output a mean value as a final prediction result. The present application can determine, according to the input nasopharyngeal carcinoma brain MRI image, whether radiation-induced brain injury exist, so as to reduce missed diagnosis of nasopharyngeal carcinoma radiation-induced brain injury.

Methods of identifying and assays designed to identify at least one biomolecule from a patient are disclosed that comprise: collecting at least one biofluid from a patient, isolating at least one exosome from the biofluid, and identifying at least one biomolecule from the at least one exosome, wherein the at least one biomolecule is bound to the at least one exosome and is locally released from the patient. In some embodiments, the at least one biomolecule comprises a secretory protein, a neurotrophic factor, a growth factor, a cytokine, a chemokine, a pre-toxic molecule, a toxic molecule, or a combination thereof.

The present invention relates to a compound of formula (I) wherein R1 is a hydrogen atom, halogen or -(C1-C2)alkyl, R2 is -halo(C1-C2)alkoxy, and R3 and R4 form together with N to which they are attached an optionally substituted 5-7 membered monocyclic heterocycloalkyl ring or an optionally substituted 8-11 membered bicyclic heterocycloalkyl ring. The present invention also relates to a medicament and a pharmaceutical composition comprising said compound of formula (I), as well as their therapeutic uses, in particular as inhibitor of NOD-like receptor protein 3 inflammasome for preventing and / or treating Parkinson's disease, frontotemporal Dementia, Multiple System Atrophy, Alzheimer's disease, Multiple Sclerosis, Amyotrophic Lateral Sclerosis or brain injury.

The application provides a craniocerebral injury simulation man teaching model, which comprises a simulation man body provided with a head, a body and limbs; the head is internally provided with a craniocerebral simulation unit for simulating brain edema, brain hematoma, brain fracture, brain hernia and cerebrospinal fluid leakage; the body is internally provided with a urinary system simulation unit, a blood circulation system simulation unit and a respiratory system simulation unit; the controller is prearranged with control programs of reactions of the urinary system simulation unit, the blood circulation system simulation unit and the respiratory system simulation unit corresponding to different brain injuries; an operator selects different brain injuries and carries out nursing on the brain injuries and the complications of the urinary system simulation unit, the blood circulation system simulation unit and the respiratory system simulation unit. The application can not only nurse the brain injuries through the craniocerebral simulation unit, but also nurse the complications of the brain injuries through the urinary system simulation unit, the blood circulation system simulation unit and the respiratory system simulation unit, so that the application is more consistent with the actual situation and is beneficial to teaching.

The application discloses a wearable brain injury local temperature control treatment device and belongs to the technical field of brain injury treatment. The device is provided with a mounting bottom plate, a rotating frame, a waste glue storage box, a moving strip, a glue coating scraper and an adjusting screw sleeve. The connecting top strip is tightly arranged on the top of the adjusting screw sleeve. The minimum distance between the glue coating scraper and the mounting bottom plate is limited. An appropriate amount of gel is applied on the edge of the temperature control sheet. The moving strip is pushed to drive the glue coating scraper to move on the top of the mounting bottom plate. The glue coating scraper pushes the gel to be applied on the top of the temperature control sheet. The gel can be uniformly applied on the surface of the temperature control sheet. The gel on the surface of the temperature control sheet is not uniformly applied. The contact between the temperature control sheet and the skin is not uniform. The heat transfer and distribution are affected. When the glue coating scraper passes through the temperature control sheet, the excess gel is pushed to flow from the top of the trapezoidal inclined block to the waste glue storage box. The excess gel is prevented from being left on the mounting bottom plate, so that the surface of the mounting bottom plate is not sticky.

The invention discloses application of selazinomethyl ether and a pharmaceutical composition thereof in preparation of a medicine for preventing or treating brain injury. The invention provides the application of selazine methyl ether in preparing the medicine for preventing or treating the brain injury for the first time, and selazine methyl ether has a remarkable effect in preventing or treating the brain injury, especially cerebral arterial thrombosis and the brain injury caused by hemorrhagic transformation of the cerebral arterial thrombosis. And cerebral injury caused by cerebral arterial thrombosis and hemorrhagic transformation can be obviously relieved. According to the application disclosed by the invention, the sefoazinomethyl ether has the effects of remarkably reducing the cerebral infarction area and behavioral scoring under the condition of middle cerebral artery occlusion; the selobezine methyl ether has the effects of remarkably reducing the hemorrhage area, hemorrhage score and behavioral score under acute high glucose and middle cerebral artery occlusion; the pharmaceutical composition containing selazine methyl ether can become a novel drug for preventing or treating brain injury, and can be used for treating various cerebrovascular diseases including cerebral arterial thrombosis and hemorrhagic transformation of cerebral arterial thrombosis.

The application discloses a new use of Leonurine or a pharmaceutically acceptable salt thereof in the preparation of a medicament for treating radiation-induced brain injury, specifically, providing a safe and effective therapeutic drug for iron death, neuroinflammation, neuron damage and lipid metabolism disorder accompanying the radiation-induced brain injury, solving the technical problem of lack of specific treatment means in the prior art, and having a wide clinical application prospect. Experiments adopt a C57BL / c mouse 30 Gy whole brain X-ray radiation model, and results show that Leonurine can significantly improve the body weight decrease and survival rate of the model mice, reduce the serum IL-6 and IFN-alpha levels, inhibit the activation of microglial cells in the cerebral cortex and hippocampus, protect and repair damaged neurons, and improve the ultrastructure of mitochondria and synapses; meanwhile, the expression of GPX4 and SLC7A11 proteins in the brain tissue is up-regulated, the GSH content is increased to inhibit iron death, and the levels of GPE, GPS and GPC related to lipid metabolism are restored.

The invention discloses an application of abscisic acid in preparation of a medicine for improving secondary brain injury after cerebral hemorrhage, the abscisic acid can relieve neuroinflammation and improve neurological function recovery by repairing microglial cell lysosome functions, enhancing phagocytic ability and promoting hematoma removal, and a new medicine strategy is provided for cerebral hemorrhage treatment.

The invention, which belongs to the technical field of the medical equipment, discloses a wake-up therapy system for frequency response through auricular vagus nerve magnetoelectricity stimulation, and the system comprises an acquisition conversion module, an anomaly detection module, a spatial modeling module, an anomaly analysis module, a stimulation application module, a monitoring adjustment module, a dynamic adjustment module and an interactive display module. According to the method, accurate analysis from electroencephalogram signals to the space level can be achieved, quantitative evaluation and visual presentation of abnormal brain functions of the patient are achieved, doctors are assisted in judging the brain function state of the patient, and scientific and accurate decision support is provided for awakening therapy of coma or brain injury patients; meanwhile, the therapeutic effect can be evaluated, stimulation parameters can be dynamically adjusted, individualized awakening intervention of the patient is promoted, the nerve over-stimulation risk of the patient is reduced, the abnormal brain area of the patient is accurately positioned, and a basis is provided for precise stimulation.

A system for component testing for head or brain injury criteria can include a vehicle seat that is substantially stationary. A dummy can be seated in the vehicle seat. The dummy can include a head and a body. An impactor can be substantially aligned with the head. An airbag can be located between the dummy and the impactor. The impactor can be caused to be projected toward a head of a dummy at a target energy, a target position, and / or with a target stroke.

The invention is applicable to the field of brain-computer interfaces and rehabilitation medicine, and provides a brain injury function training device based on a brain-computer interface, which comprises a support frame, an electroencephalogram acquisition module, a signal processing module, a training control module, a feedback module, an evaluation module and a user interaction module, in the first stage, accurate collection and preprocessing of electroencephalogram signals are achieved through a flexible electrode array and a low-noise amplification and self-adaptive noise reduction technology; secondly, through linkage of an evaluation module and a training control module, dynamic optimization of a personalized training scheme is achieved; thirdly, constructing a visual, auditory and tactile multi-mode feedback and quantitative evaluation closed loop; according to the brain injury function training device, the problems that an existing device is low in electroencephalogram signal collection precision, fixed in training scheme and lack of a training-evaluation-adjustment closed loop are solved, the accuracy, adaptability and user participation degree of brain injury function training are improved, and the brain injury function training device is suitable for function recovery training of movement, cognition, language and the like of brain injury patients with cerebral apoplexy, cerebral trauma and the like.

To provide methods for detecting inflammasome proteins as biomarkers of neurological disorders.SOLUTION: The present invention provides compositions and methods for detecting components of the inflammasome in a sample from a subject as markers for brain injuries such as multiple sclerosis, stroke or traumatic brain injury. Methods of using such inflammasome markers to determine prognosis, direct treatment and monitor response to treatment for the subject with a brain injury such as multiple sclerosis, stroke, mild cognitive impairment or traumatic brain injury are also described. Presented herein are inflammasome components useful as biomarkers with high sensitivity and specificity for various neurological or psychiatric conditions and methods of their use.SELECTED DRAWING: None