12 results about "Craniocerebral trauma" patented technology

The invention relates to the technical field of neurotrauma prognosis image analysis, and discloses a craniocerebral trauma prognosis prediction analysis system based on a three-dimensional model. According to the system, multi-scale segmentation and topology construction are carried out on a craniocerebral three-dimensional image of a patient, the morphological evolution rate of a trauma area is tracked, and key signal events in the trauma evolution process are accurately recognized in combination with an edema signal change curve. The system further quantitatively analyzes dynamic deviations associated with the integrity of normal brain tissue fiber bundles when a signal event occurs, thereby generating a lesion propagation path and mapping it to functional network nodes of a standard brain map, ultimately identifying a prognostic key brain network. According to the technical scheme, key event capture and path foresight prediction in the dynamic propagation process of the secondary injury after the craniocerebral trauma are realized, and the accuracy of prognosis evaluation is improved.

The embodiment of the invention provides a preparation method and application of composite drug-loaded nanoparticles targeting a blood brain barrier, and the composite drug-loaded nanoparticles are prepared by taking mesoporous polydopamine (MPDA) as a carrier and covalently coupling a blood brain barrier targeting peptide RPP-12, a microglial cell targeting peptide MG-1 and an MMP-2 responsive connecting peptide Pep (Ac-CSSSGPLGIAGQSSS). The multi-stage precise delivery of blood brain barrier penetration-inflammatory cell targeting-microenvironment response release is realized. In-vivo animal experiments show that the nanoparticles can significantly reduce the level of pro-inflammatory factors (IL-1, IL-6 and TNF-alpha) of craniocerebral trauma model mice, promote polarization of pro-inflammatory microglial cells to anti-inflammatory phenotypes, promote survival of nerve cells and improve neurological functions (sucrose preference experiments, forced swimming experiments and the like). According to the application, by integrating a multi-stage targeting strategy and a microenvironment response release mechanism, the bottleneck that glucocorticoid is low in intracerebral delivery efficiency and large in systemic side effect is broken through, and an efficient and safe new treatment strategy is provided for central nervous system diseases such as traumatic brain injury.

The utility model discloses a craniocerebral trauma postoperative head position fixing device, which relates to the technical field of medical care equipment, effectively achieves the purpose of supporting the twisting head of a patient, and comprises a fixing plate, the upper end of the fixing plate is connected with a buffer plate in a sliding manner, and the upper end of the buffer plate is connected with a supporting plate in a sliding manner; the upper end of the supporting plate is fixedly connected with two symmetrically-arranged inclined air bags, the lower end of the supporting plate is fixedly connected with an expansion air bag, the other end of the expansion air bag is fixedly connected with the upper end of a buffer plate, the lower end of the fixing plate is rotationally connected with a limiting plate, and a limiting assembly is arranged in the middle of the fixing plate. The semi-reclining support is novel in structure, ingenious in conception and easy and convenient to operate, the function of supporting the neck is effectively added, the problem that a patient cannot be supported in the semi-reclining state is solved, and the function of adjusting the supporting height is newly added.

The invention provides an anesthesia device for emergency treatment of craniocerebral trauma. Relates to the technical field of medical anesthesia equipment. The emergency treatment anesthesia device for the craniocerebral trauma comprises a supporting frame, a medicament tank is fixedly installed on the supporting frame, a quantitative tank is fixedly installed at the bottom of the medicament tank, the medicament tank and the quantitative tank are communicated through a communicating pipe, an injection pump and an atomizer are arranged below the quantitative tank, and the atomizer is connected with the medicament tank through a connecting pipe. A liquid guide pipe is fixedly installed at the bottom of the quantitative tank, a two-branch pipe is fixedly installed at the bottom end of the liquid guide pipe, one end of the two-branch pipe is fixedly connected with a liquid inlet port of the injection pump, and the other end of the two-branch pipe is fixedly connected with a liquid inlet port of the atomizer. Intravenous injection and inhalation type anesthesia can be integrated, a single anesthesia mode or a combined anesthesia mode can be flexibly selected according to the real-time illness state of a patient, and anesthetic medicine mixing and diluting can be rapidly completed according to physical sign parameters of special crowds.

The present application relates to the use of glial fibrillary acidic protein and lactate dehydrogenase A subtype in the preparation of a kit for diagnosing craniocerebral trauma, and provides the use of glial fibrillary acidic protein and lactate dehydrogenase A subtype as a combined indicator in the preparation of a diagnostic kit for diagnosing craniocerebral trauma. The present application also provides the use of reagents for detecting glial fibrillary acidic protein and lactate dehydrogenase A subtype in the preparation of a diagnostic kit for diagnosing craniocerebral trauma. The present application also provides the use of anti-glial fibrillary acidic protein monoclonal antibody and anti-lactate dehydrogenase A subtype monoclonal antibody in the preparation of an immunochromatographic diagnostic kit for diagnosing craniocerebral trauma. The present application simultaneously detects two biomarkers, GFAP and LDHA, in peripheral blood samples, thereby rapidly determining whether craniocerebral injury has occurred, and classifying the severity based on the detection results, to provide a rapid, objective and portable detection means for clinical emergency, pre-hospital emergency and hierarchical management.

The invention provides an antioxidant quercetin nano-particle for a targeted craniocerebral trauma area. The antioxidant quercetin nano-particle is prepared from DSPE-PEG2000-CAQK (Distearoyl Sulfonate Polyethylene Glycol 2000-CAQK), polypropylene sulfide, lecithin and quercetin. The invention further provides a preparation method of the antioxidant quercetin nano-particles. The preparation method comprises the following steps: weighing the raw materials according to the mass ratio; the substances are mixed and then dissolved in an organic solvent to be fully dissolved; placing a centrifugal tube containing a phosphate buffer solution in a heat collection type constant-temperature heating magnetic stirrer, adding the mixture in a stirring state, and maintaining for 1-3 hours in the stirring state to form the antioxidant quercetin nanoparticles. The invention further provides application of the antioxidant quercetin nano-particles in preparation of a medicine for treating craniocerebral trauma. The drug is targeted to a craniocerebral trauma area, responds to and consumes active oxygen and releases quercetin, post-traumatic neuroinflammation is relieved, and the neuroprotection effect is achieved.

This invention provides a method and system for establishing a prognostic model for traumatic brain injury (TBI) based on multimodal data fusion and AI, belonging to the field of medical artificial intelligence technology. The method includes collecting patient clinical text and CT image data, performing preprocessing, extracting clinical text features and image data features, and constructing three major models: a TBI prognostic prediction model, a clinical model of the predictive efficacy of edema expansion on TBI prognosis, and a TBI cerebral edema expansion prediction model. The final output of the prognostic model prediction results includes patient risk stratification results, neurological function prognostic prediction results, and cerebral edema expansion prediction results. The system includes a data acquisition module, a data preprocessing module, a feature extraction module, a multimodal model construction module, and a result output module. This invention can accurately achieve risk stratification and prognostic prediction for TBI, effectively improving the accuracy and efficiency of diagnosis and treatment, reducing the risk of misdiagnosis and missed diagnosis, and providing strong support for improving patient prognosis.

The application discloses a kind of postoperative infection risk early warning system of craniocerebral trauma patient.The system uses "multimodal perception-privacy computing-interpretable early warning-closed loop intervention" four-layer integrated architecture, including multimodal perception and fusion module, privacy computing hub module, interpretable early warning engine and intelligent closed loop intervention module connected in turn.Communication connection is integrated millimeter wave radar, flexible sensor array and MS@SLET sensor chip in multimodal perception and fusion module, realize multidimensional data high-fidelity acquisition;Privacy computing hub module is based on improved FlexFair federated learning framework, and data privacy protection and group prediction fairness are considered;Interpretable early warning engine realizes accurate early warning and generates structured attribution report by the CNN-Transformer hybrid model of stage perception attention mechanism;Intelligent closed loop intervention module realizes hierarchical early warning, individualized scheme matching and model incremental optimization.The application solves the bottleneck of the prior art, such as insufficient timeliness of early warning, imbalance between data utilization and privacy fairness, uninterpretable decision and early warning intervention fragmentation, shortens the infection index detection time to within 30 seconds, the system response time is less than 200 ms, the infection-related mortality rate is reduced by 65.4%, fully meets the requirements of laws and regulations such as "Personal Information Protection Law", and has very high clinical application value.

The invention relates to the technical field of medical education, in particular to a multi-modal data fused craniocerebral trauma education achievement evaluation method and system. The invention discloses a multi-modal data fused craniocerebral trauma education achievement evaluation method. The method comprises the following steps of S1, performing induction association on a craniocerebral trauma cognitive module and a craniocerebral trauma cognitive node of a craniocerebral trauma cognitive map to obtain a first score weight; s2, constructing a craniocerebral trauma induction route through a craniocerebral trauma cognitive module and a craniocerebral trauma cognitive node to obtain a second score weight; s3, face language data information of participants is collected, and a third score weight is obtained through the face coding technology; and S4, setting a first threshold value, a second threshold value and a third threshold value to obtain a final score, and generating a craniocerebral trauma education achievement evaluation report. According to the method, the craniocerebral trauma educational achievement is evaluated through triple evaluation methods of module matching, induction routes and a facial language coding technology.

This invention relates to the field of neurotrauma prognostic image analysis technology, and discloses a three-dimensional model-based system for predicting and analyzing the prognosis of craniocerebral trauma. The system involves multi-scale segmentation and topology construction of three-dimensional images of the patient's brain, tracking the morphological evolution rate of the traumatic region, and combining this with edema signal change curves to accurately identify key signal events in the trauma progression process. Furthermore, when these signal events occur, the system quantifies and analyzes the dynamic deviation of the integrity of fiber bundles associated with normal brain tissue, thereby generating damage propagation paths and mapping them to functional network nodes in a standard brain atlas, ultimately identifying key prognostic brain networks. This technical solution achieves the capture of key events and prospective prediction of pathways in the dynamic propagation process of secondary injuries after craniocerebral trauma, improving the accuracy of prognostic assessment.

The application belongs to the field of rehabilitation massage equipment, and particularly relates to a postoperative rehabilitation massage equipment for craniocerebral trauma, which aims to solve the problems that existing patients are difficult to move limbs and the exercise effect on muscles is poor during long-term bed massage. The postoperative rehabilitation massage equipment for craniocerebral trauma comprises a bed body, the surface of the bed body is provided with two leg massage mechanisms and two arm massage mechanisms, and the leg massage mechanisms and the arm massage mechanisms are bent after being stressed. The arm massage mechanism comprises a first guide plate, the first guide plate is fixedly connected to the bottom of the bed body, and the outer wall of the first guide plate is slidably connected with a first sliding plate. In the application, not only the arms and legs can be massaged, but also the arms and legs can be bent, blood flow is facilitated, the muscles of the arms and legs are trained, the positions of the first mounting plate and the second mounting plate can be adjusted, patients with different body types are adapted, and the flexibility of use is improved.

The invention relates to the technical field of medical health management, and discloses a craniocerebral trauma patient prognosis management method and system.The method comprises the steps that real-time physiological data of a patient are continuously obtained, and patient activity scene information corresponding to the real-time physiological data is synchronously obtained; according to a personalized rehabilitation plan set for the patient, monitoring whether the real-time physiological data in the rehabilitation plan deviates from a preset physiological response target range or not; when it is monitored that the real-time physiological data deviates from the preset physiological response target range, situation attribution judgment is conducted on the deviation situation of the physiological data based on the patient activity scene information and a preset attribution rule, and a situation attribution judgment result is obtained; and according to the situation attribution judgment result, generating an adjustment suggestion for the personalized rehabilitation plan. According to the method, the real-time physiological data of the patient and the activity scene information are deeply fused, and the situation attribution judgment is carried out, so that the dynamic adjustment of the personalized rehabilitation plan is realized.