91 results about "Cerebral stroke" patented technology

This invention discloses a class of aminosalicylic acid derivative compounds, their pharmaceutical compositions, and uses. The aminosalicylic acid derivatives of this invention can significantly improve ischemic symptoms in rats with a cerebral ischemia-reperfusion model, and these compounds have broad application prospects in the preparation of drugs for the prevention and treatment of stroke.

This utility model discloses a convenient wearable stroke rehabilitation belt, relating to the field of rehabilitation fixation technology. It includes a lifting plate, with a rehabilitation fixation belt snapped onto the top surface of the lifting plate. A limiting component is installed on the top surface of the lifting plate, restricting the position of the rehabilitation fixation belt. Multiple sets of heat therapy patches are provided on the inner side of the rehabilitation fixation belt. In use, the easy assembly and disassembly of the rehabilitation fixation belt and the lifting plate facilitates daily use by patients to assist in rehabilitation. Simultaneously, the synergistic effect of the electrical stimulation patches and the heat therapy patches provides thermal therapy and nerve electrical stimulation to the lumbar muscles, improving blood circulation and enhancing rehabilitation outcomes.

This invention discloses an essential oil-based intervention system for the simultaneous treatment of heart and brain function based on dual feedback of eye movement and heart rate variability, belonging to the field of rehabilitation medicine technology. The system includes: a data synchronization acquisition module, which acquires heart rate variability data and eye movement characteristic data and generates a synchronized physiological data stream; a dual feedback joint assessment module, which assesses the patient's real-time physical and mental state level based on the synchronized physiological data stream; a synchronized intervention decision module, which generates essential oil atomization control instructions and eye movement training control instructions in parallel according to the physical and mental state level; and a synchronized intervention execution module, which drives the essential oil atomization unit and the eye movement training unit to execute corresponding intervention actions synchronously at the hardware level on the time axis. This invention achieves integrated and precise intervention of heart and brain function through dual-modal physiological feedback closed loop and synchronized control, effectively solving the problems of brain separation, delayed intervention, and poor coordination in traditional rehabilitation centers, and improving the synchronous rehabilitation effect of cognitive function and autonomic nervous function in stroke patients.

The application belongs to the technical field of pharmaceutical chemistry, and particularly relates to a PSD-95 PDZ2 peptidomimetic inhibitor and application thereof. A series of compounds are designed and synthesized by taking a tetrapeptide ETAV as a template, a structure-activity relationship of the compounds with PSD-95 PDZ2 is systematically studied, and an optimal compound 32-2, i.e., the PSD-95 PDZ2 peptidomimetic inhibitor, is screened, a structural formula of which is shown as formula (I), the PSD-95 PDZ2 peptidomimetic inhibitor has very excellent plasma stability, and exhibits significant neuroprotective activity in in-vivo and in-vitro biological activity evaluation, significantly reduces cerebral infarction caused by cerebral ischemia-reperfusion injury, and can be used for preparing a drug for treating ischemic stroke. (I).

This invention discloses the application of substances that inhibit Trx1 nitration in the preparation of drugs for treating Trx1 nitration-related diseases. This invention reveals for the first time that nitration modification of tyrosine residue 49 (Y49) of the Trx1 protein is a key pathological step in diseases such as ischemic stroke and myocardial ischemia-reperfusion injury. Inhibiting nitration at this site can effectively restore Trx1 reductase activity, enhance the binding of Trx1 to ASK1, and block the downstream ASK1-p38 / JNK apoptosis signaling pathway, thereby exerting a therapeutic effect. This invention provides a novel treatment strategy for Trx1 nitration-related diseases.

This invention, based on the screening and identification of environmental exocomics and metabolomics biomarkers associated with ischemic stroke, discloses an ischemic stroke risk assessment model and model construction method that integrates environmental exocomics and metabolomics biomarkers, improving the comprehensiveness, accuracy, and convenience of prediction. This invention systematically evaluates the association between exposure to mixed organic pollutants and the risk of ischemic stroke, identifying key pollutants; quantifies the impact of pollutant mixtures on the systemic metabolic network and stroke risk, revealing the mediating role of metabolic pathway disorders in pollutant-induced stroke risk; explores the potential of incorporating pollutant exposure information into clinical prediction models to improve the efficacy of ischemic stroke risk stratification, ultimately providing systematic multi-omics evidence for the causal relationship between environmental pollution and ischemic stroke, and offering new technical tools for precision disease prevention.

This disclosure provides a monitoring and early warning system and computer device for stroke revascularization surgery; including: an acquisition module for acquiring a first set of neuroelectrophysiological data and a second set of neuroelectrophysiological data; a first processing module for obtaining a first impairment level characterizing the preoperative neurological function impairment based on the differences between the physiological data of the first affected side and the physiological data of the first healthy side at the same time point in the first set of neuroelectrophysiological data; a second processing module for obtaining a second impairment level characterizing the postoperative neurological function impairment based on the differences between the physiological data of the second affected side and the physiological data of the second healthy side at the same time point in the second set of neuroelectrophysiological data; and a prediction module for predicting the probability of various complications within a predicted postoperative time period. By comparing and analyzing the preoperative and postoperative neuroelectrophysiological data of the affected / healthy side, the risk of complications after revascularization surgery can be predicted.

This invention relates to the field of stroke early warning technology, specifically to an intelligent early warning system and method for stroke window periods based on multiple vital signs. The system includes a vital sign acquisition module, a preprocessing module, a feature fusion module, a window period calibration module, an early warning module, and a linkage module. The method includes multi-dimensional vital sign data acquisition, preprocessing, feature fusion, dynamic window period calibration, graded early warning, and linkage intervention steps. This invention collects multi-dimensional vital sign data on routine physiological, neurological, metabolic, and microcirculatory functions. It employs adaptive threshold denoising to remove false features, combines a dynamic weight fusion algorithm to achieve deep fusion of multiple vital sign features, and utilizes an improved BP neural network combined with individual baselines and risk factors to dynamically calibrate the early warning window period. This addresses the problems of low early warning accuracy, ambiguous window period judgment, lack of individual adaptability, and lack of effective linkage intervention after early warning in existing technologies, achieving accurate and timely early warning of stroke window periods.

The application discloses a kind of based on multimodal's cerebral apoplexy rehabilitation robot intelligent perception control method and system.The method constructs non-contact visual state monitoring module, and the face video stream of patient is collected by RGB camera, and the attention index, fatigue index and emotion index of patient are quantified in real time by using face key point detection and light weight deep learning model;Based on the above three indexes, calculate comprehensive safety score, when receiving SSVEP electroencephalogram control instruction, the system first judges whether comprehensive safety score reaches preset safety threshold, only when the score is up to standard, allow to execute rehabilitation action, otherwise, block instruction output and issue risk prompt.The application overcomes the defect that existing rehabilitation robot " has order and goes " lacks state perception, realizes " state perception-safety access-adaptive control " closed-loop interaction, significantly improves the safety, robustness and patient adaptability of cerebral apoplexy rehabilitation training.

This invention relates to a pharmaceutical composition and its application for treating acute ischemic stroke. The pharmaceutical composition for treating acute ischemic stroke comprises separately packaged tissue-type plasminogen activator citPA5 and a platelet aggregation inhibitor. Its beneficial effects include significantly improving cerebral blood flow recovery, shortening thrombolysis time, reducing infarct volume, and improving neurological function without increasing the risk of bleeding, demonstrating a good synergistic thrombolytic effect.

This invention relates to the field of medical auxiliary diagnostic technology, and discloses an intelligent auxiliary diagnostic system and method for grading the urgency of stroke. The system includes: an acquisition and control module that acquires electrocardiogram (ECG), bilateral photoplethysmography (PPG), and audio signals, and updates the driving current of the bilateral photoelectric acquisition pathways based on the ECG signal; a preprocessing module that divides the physiological perturbation time axis according to the energy distribution of the audio signals, and performs normalization processing on the original photoelectric signals using the driving current; a feature extraction module that calculates the instantaneous gradient sequence of the normalized photoelectric signals and extracts the formant dispersion sequence of the audio signals within the perturbation phase; and an analysis and grading module that calculates the time-domain cross-correlation function of the two sequences to generate a neurovascular decoupling index, and outputs the urgency grading result by combining the transient recovery hysteresis coefficient extracted within the recovery phase. This invention can quantify the temporal decoupling and recovery hysteresis characteristics across neural regulatory pathways, improving the accuracy of stroke grading.

This invention relates to the field of medical device technology, and more particularly to a personalized trajectory planning system for stroke rehabilitation that integrates electromyography and motion capture. The system includes a power supply module, and a multimodal perception enhancement module, an intelligent fusion decision-making module, a dynamic trajectory generation module, a clinical adaptation enhancement module, and an effect evaluation feedback module electrically connected to the power supply module. The multimodal perception enhancement module, intelligent fusion decision-making module, dynamic trajectory generation module, and clinical adaptation enhancement module are sequentially connected via data. The effect evaluation feedback module is data-connected to the clinical adaptation enhancement module and establishes a closed-loop data interaction link with the dynamic trajectory generation module. This invention achieves accurate acquisition, information complementarity, and time synchronization of multi-source perception data, providing high-quality and consistent input data for subsequent decision-making. It solves the problems of single perception data, poor path adaptation to the patient's actual situation, and increased surgical risks in existing technologies.

This application relates to the field of interdisciplinary technology, and in particular to a stroke rehabilitation training system based on a mixed reality digital human. The system includes: a data acquisition module configured to: acquire multimodal data of the subject performing standard movement tasks under the guidance of the rehabilitation therapist's digital human; the multimodal data includes: visual data, electromyographic data, and inertial data; perform perception and heterogeneous spatial registration on the multimodal data; and drive the subject's mirror digital human for synchronous display in real time; and a processing module configured to: identify the subject's movement intentions, assess upper limb motor function, detect compensatory movements, and assess lower limb motor function based on the multimodal data; and generate real-time prompts, visual feedback, and training reports, thus achieving an integrated closed loop of stroke rehabilitation training, functional assessment, and feedback adjustment. It is applicable to stroke rehabilitation training, functional grading assessment, and home-based continuous rehabilitation intervention.

This invention relates to the field of nursing rehabilitation technology, and in particular provides a rehabilitation device for stroke hemiplegia care. This rehabilitation device includes a rehabilitation bed frame, a massage adjustment component, a lower limb adjustment component, and a lower limb training component. This invention enables mechanically assisted adjustment for stroke patients to smoothly transition from a supine position to a sitting and standing position, effectively reducing the workload of rehabilitation technicians, providing patients with self-rehabilitation training methods, and providing massage rehabilitation for the back and buttocks. It also allows for precise adjustment of massage intensity to help promote blood circulation, relieve muscle stiffness, reduce pain, and promote rehabilitation. Furthermore, it provides mechanical assistance for rehabilitation training such as bridging exercises, lower body abduction training, standing training, and plantar flexion training, thereby ensuring the accuracy of the patient's movements, avoiding distorted movements, and maximizing the rehabilitation effect.

This invention, entitled "A Method and Product for Pretreatment of Mesenchymal Stem Cells and Its Application in Stroke Drugs," belongs to the field of biotechnology. The technical problem to be solved is to improve the function and therapeutic effect of mesenchymal stem cells. The key technical solution is a method for pretreatment of mesenchymal stem cells, including: culturing cells using an activation medium, culturing cells using a directional medium, and culturing cells under hypoxic conditions using an adaptation medium; the activation medium contains complete medium, IFN-γ, TNF-α, and IL-1β; the directional medium contains complete medium, sodium valproate, 5-azacytidine, and all-trans retinoic acid; the adaptation medium is a complete medium containing basal medium and free of animal serum. The pretreatment method of this invention enhances the anti-inflammatory, neuroprotective, and angiogenic capabilities of mesenchymal stem cells, showing significant therapeutic effects on stroke, and since it does not use animal serum, it meets clinical requirements.

This invention relates to the fields of pharmaceuticals and nanomedicine, specifically disclosing the preparation of a dual-targeting liposome drug delivery system and its application in stroke. The dual-targeting liposome drug delivery system comprises neutrophils, artemisinin, edaravone, and liposomes. The liposomes co-load artemisinin and edaravone, and their surfaces are modified with sialic acid derivatives and phosphatidylserine to form liposome nanomedicines. The neutrophils act as carriers, transporting the drug across the brain border (BBB) ​​and targeting it to the ischemic brain region. This dual-targeting strategy achieves precise two-stage drug delivery to the ischemic brain region. This delivery system can inhibit NLRP3 inflammasome activation, reduce pyroptosis, and promote microglial polarization towards the M2 anti-inflammatory phenotype, thereby effectively treating cerebral ischemia-reperfusion injury or ischemic stroke.

This invention discloses a device for screening dysphagia after stroke based on voice acoustic parameters, comprising a noise detection device, an input device, a processing device, and an output device. The noise detection device is used to collect measured values ​​of the patient's longest vocalization time (MPT), highest sound intensity (I_high), highest fundamental frequency (F0_high), lowest sound intensity (I_low), and fundamental frequency perturbation (Jitter). The input device is used to collect the patient's brainstem lesion assignment. The processing device is connected to both the noise detection device and the input device. The measured values ​​of the longest vocalization time, highest fundamental frequency, lowest sound intensity, and fundamental frequency perturbation are used as variables to calculate the measured value of the Voice Disorder Index (DSI). The measured values ​​of the brainstem lesion assignment, longest vocalization time, highest sound intensity, and DSI are used as variables to calculate the total score of the prediction model. The risk probability value of dysphagia in stroke patients is obtained based on the total score of the prediction model.

The application relates to a screening and determining method of an ischemic cerebral stroke animal model biomarker of qi deficiency and blood stasis syndrome, which integrates proteomics and transcriptomics technologies, systematically screens differentially expressed proteins and genes related to the syndrome, and on the basis, constructs various disease animal models, verifies candidate targets by adopting ELISA, simultaneously combines qPCR technology, multi-dimensionally confirms expression changes in the models, further draws ROC curves, calculates AUC values, sensitivity and specificity and other diagnostic performance indexes, evaluates diagnostic potential, and further knocks down and overexpresses differentially expressed genes, deeply excavates potential biomarkers with diagnostic values, and provides scientific bases for objective diagnosis of ischemic cerebral stroke qi deficiency and blood stasis syndrome and exploration of molecular mechanisms.

The present application relates to the technical field of rehabilitation medical apparatus, and discloses an electric acupuncture rehabilitation treatment device for stroke patients, which comprises a base, a universal hinge structure, a swing frame, a counterweight balancing mechanism, a needle body driving mechanism and a needle body clamping seat. The swing frame is connected to the pitch rotation shaft of the universal hinge structure, and the counterweight balancing mechanism and the needle body driving mechanism are respectively installed at both ends of the swing frame. The counterweight torque generated by the counterweight balancing mechanism and the load torque generated by the needle body clamping seat and the needle body are opposite in direction and offset each other, so that the upward following and downward following of the universal hinge structure in the vertical plane have symmetrical resistance characteristics, and the safety and comfort of acupuncture treatment are improved.

The application relates to the technical field of medicines, and particularly discloses a polypeptide and application of the polypeptide in preparation of a medicine for ischemic stroke. The amino acid sequence of the polypeptide is as shown in SEQ ID NO. 1. The polypeptide can significantly improve the nerve function defect of a mouse transient middle cerebral artery occlusion / reperfusion (tMCAO / R) model in vivo, reduce the cerebral infarction volume, and reduce the whole-body oxidative stress level. In vitro, the polypeptide has a direct protective effect on HT22 cells of mouse hippocampal neurons and hCMEC / D3 cells of human brain microvascular endothelium induced by oxygen-glucose deprivation (OGD), can resist the damage of corticosterone and MPP + induced PC12 cells, and effectively inhibits the accumulation of reactive oxygen species (ROS) in cells. The results show that the polypeptide has a multi-target cell protection activity, can play an anti-ischemic stroke role from multiple dimensions such as reduction of infarction volume, inhibition of oxidative stress level, and protection of nerve vascular units.

The application belongs to the technical field of biological medicine, and particularly relates to umbilical cord mesenchymal stem cells and a preparation method and application thereof. The preparation method takes umbilical cord Wharton's jelly as raw material, and obtains high-purity umbilical cord mesenchymal stem cells through cleaning treatment, tissue block preparation, serum-free culture and liquid change subculture. The culture conditions and operation parameters are strictly controlled in the preparation process, the MSC serum-free culture medium and trypsin substitutes are used, so that the cell activity and purity can be guaranteed. The umbilical cord mesenchymal stem cells have no obvious toxicity and tumorigenic risk under a safe dose, and have no damage to organs in long-term use. The umbilical cord mesenchymal stem cells can significantly improve the motor dysfunction after cerebral ischemia, reduce the volume of cerebral ischemic injury, protect the integrity of the blood-brain barrier, reduce the neuroinflammatory response, and play a multi-dimensional role in brain tissue protection and repair, thereby providing a new effective means for the treatment of ischemic stroke, and having important clinical transformation value and application prospect.

This invention discloses a method for selecting speech features in stroke-related dysarthria based on dynamic weight compensation. First, the patient's acoustic features are acquired and initial feature weights are calculated, dividing the data into high-weight and low-weight feature candidate sets. Second, outliers in high-weight features are identified using a dual-threshold outlier detection algorithm, and a dynamic weight compensation strategy is employed to correct weight biases while preserving potential pathological information, resulting in an optimized compensated feature dataset. Then, a training feature dataset is constructed using the low-weight candidate set, input into a pre-trained temporal dependency validation model for analysis, and weights are updated based on the feature's contribution to the classification results to obtain the final feature weights. Finally, features are classified according to these weights, and an adaptive truncation strategy is used to select the final feature subset. This invention constructs a two-layer selection mechanism from coarse to fine screening, effectively extracting the core acoustic features most relevant to pathology, improving feature discriminative power, interpretability, and model generalization ability, and providing high-quality feature input for assisted diagnosis and assessment.