50 results about "Hydrocephalus" patented technology

The invention relates to the technical field of data processing, and discloses a hydrocephalus correlation analysis method and system based on multi-dimensional data. The method comprises the steps that a feature matrix is generated by obtaining and standardizing hydrocephalus multi-dimensional data, after the matrix is discretized, an association rule mining algorithm is adopted to extract an association mode, a rule set is obtained in combination with knowledge graph verification, data clusters are divided based on mahalanobis distance clustering, mixed effect time sequence model fitting parameters are established for all the clusters, and a mixed effect time sequence model is obtained. And calculating a target sample attribution cluster and predicting a symptom improvement trajectory and a confidence interval. According to the method, automatic integration, credible association rule extraction, precise subtype division and individualized symptom trajectory prediction of the multi-dimensional data of the hydrocephalus patient are realized.

The present disclosure generally relates to systems and methods of use for draining cerebrospinal fluid (CSF) from a brain or a spinal canal in a subject, for example, to treat hydrocephalus or other conditions. In some embodiments, the disclosure relates to a device comprising a flow controller positioned within a conduit that allows CSF to flow through the conduit from a first end to a second end. This may allow the CSF to drain, for example, from an intradural space (such as a thecal sac) into, for example, a paraspinal space, paraspinal vein or other venous space, or peritoneal cavity. A variety of methods may be used to hold or anchor the device in place, for example, an expansion apparatus. In some embodiments, the device can be implanted percutaneously at a location along or within a subject's spinal column, thus reducing the need for surgery, general anesthesia, and hospitalizations.

This invention belongs to the field of animal model technology, specifically disclosing a method for constructing a primary ciliary motor disorder hydrocephalus model, comprising the following steps: screening benzimidazole as a modeling agent; administering benzimidazole solution to experimental animals and setting up a blank control group; conducting experimental verification through pathological morphology and behavioral methods; if the experimental animals show significant ventricular enlargement and significant decrease in motor ability, the primary ciliary motor disorder hydrocephalus model is successfully constructed. This invention employs the above-mentioned novel method for constructing a primary ciliary motor disorder hydrocephalus model. The constructed hydrocephalus model exhibits good stability and repeatability, is objective and simple, and is highly operable, reducing other possible interfering factors. It provides a necessary experimental foundation for studying the mechanism of primary ciliary motor disorder hydrocephalus and developing treatment methods.

The invention relates to the field of image processing, in particular to a fetal hydrocephalus three-dimensional reconstruction and operation planning method based on multiple modalities, which comprises the following steps: obtaining key points and ventricular postures in a three-dimensional point cloud during each three-dimensional reconstruction, predicting the ventricular postures during the next three-dimensional reconstruction, and obtaining prediction residual errors; historical three-dimensional reconstruction key points are clustered based on prediction residual errors to obtain all categories, and when three-dimensional reconstruction is carried out again, the obtained three-dimensional point clouds are further deleted and added based on the categories. According to the invention, errors in a matching fusion process and errors in a prediction process during three-dimensional reconstruction are avoided, and the accuracy of a three-dimensional reconstruction result is improved.

The invention belongs to the technical field of animal models, and particularly discloses a method for constructing a primary ciliary dyskinesia hydrocephalus model, which comprises the following steps: screening benzimidazole as a molding agent; performing benzimidazole solution administration on the experimental animals, and setting a blank control group; carrying out experimental verification through pathological morphology and behavioral methods; the ventricle of the experimental animal is obviously enlarged, the athletic ability is obviously reduced, and if the condition is met, the primary ciliary dyskinesia hydrocephalus model is successfully constructed. According to the new method for constructing the primary ciliary dyskinesia hydrocephalus model, the constructed hydrocephalus model is good in stability and repeatability, objective, simple and high in operability, and other possible interference factors are reduced; and a necessary experimental basis is provided for research on the mechanism of hydrocephalus caused by primary ciliary dyskinesia and development of treatment means.

A system and method of accurately measuring a pressure (Pp) within a human brain using totally-implanted or partially-external hardware. The system includes a first pressure transducer configured to measure a cerebrospinal fluid pressure (Pcsf) within a ventricle of a brain, a second pressure transducer configured to indirectly measure a second pressure (Pp) within a space of the brain, and an adjustable implanted valve controller configured to calculate the effective differential pressure (Pei = Pcsf - Pp) between the measured pressures Pcsf and the Pp and determine whether the effective differential pressure measurement represents a true secondary pressure.

A method for assessing a patient's brain disease state from brain images includes acquiring the brain images, partitioning them into predefined regions based on anatomical landmarks, extracting disease-indicative features, using a pretrained model to generate a disease-associated biomarker from the features, and determining the patient's brain disease state based on the biomarker.

A testing device and testing method of a hydrocephalus shunt valve. It relates to the technical field of medical device testing. The long-term reliability and adaptability of the shunt valve can be simulated in a complex physiological environment. The testing device of the hydrocephalus shunt valve comprises a controller, a body position simulation device, an ICP pressure chamber, an IPP pressure chamber, a backflow pump, a flow sensor and a circulating pipeline. The body position simulation device comprises a support, a pair of long arms simulating the human torso and a pair of short arms simulating the human head and neck, and a motor one driving the pair of long arms to swing and a motor two driving the pair of short arms to swing. The present application combines the in-vitro hardware testing platform with different patient physiological models, can reproduce physiological characteristics such as basic body position posture change, body temperature circadian rhythm fluctuation and long-term applicability, and realizes the in-vitro testing of the shunt valve quickly, at low cost and with high authenticity. The present application can quantify the performance of the shunt valve in a real physiological environment.

The invention relates to a child posterior fossal tumor postoperative hydrocephalus prediction method and system based on artificial intelligence, a storage medium and computer equipment. The invention provides a method for predicting hydrocephalus after a child posterior fossal tumor operation based on artificial intelligence, and the method comprises the steps: S1, obtaining and preprocessing a preoperative MRI image, and unifying the data of the preoperative MRI image to a standard state; s2, automatically segmenting a key region, positioning a rear fossa tumor focus and an associated region, and automatically segmenting the key region in the rear fossa tumor focus and the associated region through a deep learning model; s3, multi-dimensional feature extraction: extracting multi-dimensional features from the segmentation result of the step S2; s4, performing XGBoost prediction analysis and verification, quantitatively evaluating and predicting the risk of hydrocephalus after the fossa tumor operation of the child through an XGBoost machine learning model, and outputting a hydrocephalus prediction result in a quantitative mode. The invention further discloses a prediction system, a storage medium and computer equipment.

This invention discloses a method for constructing an early prediction model of hydrocephalus secondary to intraventricular tumors based on the dynamic changes of inflammatory factors after surgery, belonging to the field of medical data processing and model construction. The method includes: acquiring the concentration values ​​of inflammatory factors and the hydrocephalus outcome of biological samples at multiple postoperative time points; calculating quantitative characteristic parameters characterizing the dynamic evolution of the inflammatory response, such as the dynamic change rate, cumulative load, and acceleration, based on the concentration values; and training a deep learning model using the quantitative characteristic parameters and clinical baseline data as input features, with the hydrocephalus outcome as the label. This invention achieves early quantitative warning of hydrocephalus risk, significantly improving the accuracy, sensitivity, and specificity of prediction. It solves the technical problem of existing technologies relying on post-operative monitoring methods such as imaging and lacking early biochemical warning capabilities.

The invention discloses a neural network-based hydrocephalus imaging feature detection method, electronic equipment and a storage medium, and the method comprises the steps: collecting and marking the brain image data of a normal pressure hydrocephalus patient, and carrying out the preprocessing; segmenting a ventricle region in the thick-layer brain image data by using a neural network to generate a binary image sequence; training a neural network model for interpolation through thin-layer brain image data, and continuously adjusting parameters until the parameters are optimal; inputting the binary segmentation result of the thick-layer image and the original thick-layer image into a trained interpolation network, and outputting a binary segmentation image after interpolation processing; and counting the voxel number of the ventricle part in the binary segmentation image after interpolation, and calculating the actual volume of the ventricle lumen by combining image scanning interval information. According to the method, the error generated when the ventricular volume is calculated through image segmentation when the scanning interval is too large is reduced so as to obtain accurate ventricular volume data, and therefore the computer-aided diagnosis process of hydrocephalus is optimized.

The invention discloses an anti-infection pressure-adjustable hydrocephalus shunting method and system, relates to the technical field of medical instruments, and aims to deeply integrate anti-infection and pressure-adjusting functions into a collaborative response closed-loop system by taking a cerebrospinal fluid endogenous biological signal as a core drive. According to the method, targeted drug release and active enhanced drainage can be synchronously triggered according to biomarkers and biochemical indexes related to infection, and the targeted drug release and the active enhanced drainage are mutually promoted, so that the treatment effect is synergistically enhanced. Moreover, when the microenvironment returns to normal, the system can automatically stop intervention, complete self-adaptive adjustment is formed, accurate, efficient and safe treatment is ensured, and therapeutic drainage can be actively executed while accurate targeted infection resistance is achieved, so that the therapeutic effect is cooperatively improved, and the autonomy and safety of the system are enhanced.

1. Name of the product in this design: Flow divider valve. 2. Application of this design: Used for pressure control and shunting of fluid accumulation in patients during medical procedures, especially suitable for pressure control and shunting of hydrocephalus. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A dural venous sinus (DVS) implant anchor includes a body comprising a first portion extending in a first longitudinal direction, a second portion extending in a second longitudinal direction opposite the first longitudinal direction, and a connector portion coupled to the first portion and the second portion at an offset depth that corresponds to a depth of a first part of a thickness of a skull of a subject. When the DVS implant anchor is disposed within a DVS burr hole in the skull of the subject, the first portion extends along an outside surface of the skull and the second portion is at least partially disposed within the DVS burr hole.

The invention discloses an interpretable MRI (Magnetic Resonance Imaging) image analysis method and system based on anatomical constrained attention, and relates to the field of medical image intelligent analysis and computer-aided diagnosis. According to the method, Hadamard product fusion is carried out on a neural image anatomical region mask and spatial attention, depth feature mining is guided by anatomical structure constraints, and the depth feature mining accuracy is improved. The attention of the model focuses on a disease specific area; a single-channel ResNet50 is adopted to adapt to MRI gray scale characteristics, and key slice dynamic screening and weighted fusion strategies are combined, so that the calculation time is shortened, and rapid and accurate research and judgment are realized; and a thermodynamic diagram is generated through fusion of multi-scale Grad-CAM and anatomical priori knowledge, so that the interpretability is enhanced. According to the invention, a high-precision and interpretable intelligent solution is provided for efficient identification and auxiliary diagnosis of NIID rare diseases and hydrocephalus.

A system for treating hydrocephalus in a patient including a valve assembly and an external device. The valve assembly includes a controller that actuates the valve assembly between an open position and a closed position. The valve assembly also includes one or more sensors operatively connected to the controller, where the one or more sensors generate internal sensor data indicating a condition of the patient, and the controller actuates the valve assembly based on the internal sensor data. The external device generates an audible or visual warning, alarm, or notification when an amount of charge in the battery is below a predetermined threshold, when the controller, the external device, or a remote server determine an event occurrence based on the internal sensor data, when a manual override of the valve assembly exceeds a predetermined duration, or when the external device attempts and fails to communicate with the valve assembly.

The invention relates to an electrical impedance tomography system for controlling hydrocephalus shunting and a storage medium, the electrical impedance tomography system for controlling hydrocephalus shunting comprises a brain impedance evaluation model module, an electrical impedance data acquisition module, a control module, a pressure-adjustable valve and a group of electrodes annularly distributed on the head of a human body; the brain impedance evaluation model module is used for generating a local area standard impedance range based on the physiological characteristic parameters of the patient; the local regions are a plurality of regions divided by the brain impedance evaluation model module into the whole brain; the electrical impedance data acquisition module is used for acquiring real-time local impedance sent by the electrodes; the real-time local impedance corresponds to a local area where the hydrocephalus position of the patient is located; and the control module is used for adjusting the pressure value of the pressure-adjustable valve based on the real-time local impedance and the local area standard impedance range. According to the invention, the problem of poor timeliness of hydrocephalus shunting is solved.

A system for treating hydrocephalus in a patient including a valve assembly and an external device. The valve assembly includes a controller that actuates the valve assembly between an open position and a closed position. The valve assembly also includes one or more sensors operatively connected to the controller, where the one or more sensors generate internal sensor data indicating a condition of the patient, and the controller actuates the valve assembly based on the internal sensor data. The external device generates an audible or visual warning, alarm, or notification when an amount of charge in the battery is below a predetermined threshold, when the controller, the external device, or a remote server determine an event occurrence based on the internal sensor data, when a manual override of the valve assembly exceeds a predetermined duration, or when the external device attempts and fails to communicate with the valve assembly.

The invention relates to the technical field of medical instruments, in particular to an anti-blocking self-elution flow divider for treating hydrocephalus, which comprises a liquid storage vessel, the outer wall of the liquid storage vessel is provided with a liquid inlet hole, the inner wall of the liquid storage vessel is rotatably connected with a micro turbine, and the outer wall of a rotating shaft of the micro turbine is fixedly connected with a micro fan blade. Heavy impurities are separated through centrifugal force generated by flowing of cerebrospinal fluid through the liquid storage vessel and the tangentially-formed liquid inlet holes, the hidden danger of blockage is reduced fundamentally, the coating of the drainage tube can also actively degrade attached blockages such as protein and biological membrane matrixes, and through the drainage tube, the functional coating of the drainage tube is utilized, so that the drainage effect is improved. Depending on the slow release characteristic of the biodegradable polymer matrix and the long-term effect of the catalyst, the degradation function can last for a long time, the expected service life of the shunt tube is matched, meanwhile, the coating integrates the antibacterial function and the anticoagulation function, shunt failure caused by infection and thrombus is reduced, and the service life is further prolonged.

The present invention provides a novel method to isolate and expand pure neural stem cells (NSCs) from cerebrospinal fluid (CSF) of premature babies with Intraventricular haemorrhage, which produces a population enriched in NSC-CSF cells free of contaminating fibroblasts and other cell types. The present invention also includes substantially pure populations of CSF-NSC cells, and their use to treat and prevent diseases and injuries, including Intraventricular haemorrhage and post- hemorrhage hydrocephalus / developmental deficits.

The present invention belongs to the technical field of drugs for treating hydrocephalus. Disclosed in the present invention is the use of carbasalate calcium in the preparation of a drug for treating hydrocephalus. In the use of carbasalate calcium in the preparation of a drug for treating hydrocephalus, the drug takes carbasalate calcium as the only or main active ingredient. The present invention finds for the first time the effect of carbasalate calcium in the treatment of hydrocephalus. Carbasalate calcium can significantly reduce the area of the fourth ventricle in a zebrafish model of hydrocephalus, and significantly improve the swimming distance, swimming duration, swimming speed, and rotational movement frequency of the zebrafish model of hydrocephalus. The experimental data provided by the present invention show that carbasalate calcium has great application prospects in the treatment of hydrocephalus, which provides an effective candidate drug for alleviating the suffering of hydrocephalus patients during treatment, and for reducing treatment risks and costs, thereby expanding the application range of carbasalate calcium.

The invention discloses a brain puncture trocar for puncture of neonatal hydrocephalus through a fonfonis ventricle under ultrasonic guidance, and relates to the technical field of brain puncture trocar, the brain puncture trocar comprises a connecting seat main body, one end of the connecting seat main body is provided with a long round splicing piece, one side of the long round splicing piece is connected with a connecting hard cannula, and the other side of the long round splicing piece is connected with a connecting sleeve. The brain puncture trocar comprises a hard puncture needle and a connecting hard cannula, a liquid guide soft cannula is installed in the connecting hard cannula, and hydrophobic scale stripes are sprayed to the outer side of the liquid guide soft cannula, and it is ensured that the position of the hard puncture needle can be monitored in real time through an ultrasonic device in the puncture process of the brain puncture trocar; meanwhile, the position of the hard puncture needle is subjected to naked eye tracking through light spots formed by the optical fiber of the hard puncture needle under the skin of a patient, so that the depth and position monitoring mode in the puncture process of the brain puncture trocar is effectively expanded, and it is ensured that medical staff can clearly judge the puncture depth and position of the head of the brain puncture trocar in real time; therefore, the operation convenience and the operation precision of the whole brain puncture trocar are effectively improved.

An apparatus for minimally-invasive, including non-invasive, prevention and / or treatment of hydrocephalus and method for use of the same are disclosed. In one embodiment of the apparatus, a housing is sized for superjacent contact with a skull having a fontanel. Within the housing, a compartment includes a pressure applicator, such as a fluid-filled bladder, under the control of a pressure regulator. The pressure applicator is configured to selectively apply an external pressure to the fontanel. The compartment includes a pressure sensor configured to measure intracranial pulse pressure of the fontanel. Further, in one embodiment, the apparatus can cause pulse pressure modulation by adjusting the intracranial pulse pressure via the pressure applicator. This enables a non-invasive measurement of the pulse pressure and modulation thereof in infants, for example.

The invention relates to the technical field of medical equipment, and discloses an automatic adjustment hydrocephalus flow divider device which comprises a spring ring, the spring ring is fixedly connected to the right side of the interior of a base, a movable cover is fixedly connected to the left side of the spring ring, a hollow plate is fixedly connected to the left side of the interior of an outer cover, and the exterior of the hollow plate penetrates through the movable cover. A rotating rod is rotationally connected to the middle of the inner side of the hollow plate, first bevel gears are fixedly connected to the front side and the rear side of the rotating rod, second bevel gears are rotationally connected to the front side and the rear side of the right end in the hollow plate, and the second bevel gears are connected with the first bevel gears in an engaged mode. The outer cover is fixed to an affected part through the base, cerebrospinal fluid enters the device and then is discharged into the abdominal cavity through the external pipe, when a patient moves to change the intracranial pressure, flow pushes the spring ring to enable the movable cover to move, the displacement is adjusted according to different exposed lengths of the holes, the distance between the movable cover is adjusted through the rotating rod through the gear set before installation, and the displacement is adjusted in real time according to the intracranial pressure.

The invention discloses a device and a method for testing a hydrocephalus diverter valve. Relates to the technical field of medical instrument testing. And a complex physiological environment and long-term reliability and adaptability of the diverter valve can be simulated. The hydrocephalus diverter valve testing device comprises a controller, and further comprises a body position simulation device, an ICP pressure chamber, an IPP pressure chamber, a reflux pump, a flow sensor and a circulation pipeline, and the body position simulation device comprises a support, a pair of long arms simulating the trunk part of the human body and a pair of short arms simulating the head and neck part of the human body; the first motor is used for driving the pair of long arms to swing; and the second motor is used for driving the pair of short arms to swing. The in-vitro hardware testing platform is combined with physiological models of different patients, physiological characteristics such as basic body position and posture changes, body temperature circadian rhythm fluctuation and long-term applicability can be reproduced, and rapid, low-cost and high-authenticity in-vitro testing of the diverter valve is achieved. The performance of the diverter valve in a real physiological environment can be quantified.

The present application relates to a device for transferring cerebrospinal fluid in the ventricle to the body cavity of other parts of the human body, and specifically discloses a device for draining water in the ventricle, which comprises a base for being attached to a bone window of a skull, a flow collection cavity arranged on the base, a liquid outlet connector in communication with the flow collection cavity, and a flow guide hose connected to the liquid outlet connector; a tip axially away from the base; a drainage main component for guiding cerebrospinal fluid in the ventricle to the flow collection cavity; the drainage main component comprises a plurality of micro-catheters; the proximal end and the distal end of each micro-catheter are respectively attached to the base and the tip, and the micro-central hole of each micro-catheter is in communication with the flow collection cavity at the proximal end; all the micro-catheters are arranged in multiple circles in the circumferential and radial directions; the micro-catheter wall of each micro-catheter is provided with a micro-drainage structure penetrating the micro-central hole, and the micro-drainage structure is arranged in the circumferential and axial directions of the micro-catheter wall to allow cerebrospinal fluid to enter the micro-central hole through the micro-catheter wall.

The invention relates to the technical field of data processing, and discloses a hydrocephalus assessment method and system based on a bladder pressure dynamic monitoring device. The hydrocephalus assessment method based on the bladder pressure dynamic monitoring device comprises the steps that wrist sympathetic nerve and lumbosacral electromyographic signals are collected and filtered; extracting a specific frequency band power spectrum integral value and a root-mean-square value to fuse and calculate an equivalent bladder pressure value; calculating a detrusor muscle activity index, a compliance index and a night fluctuation coefficient to form a pressure mode; obtaining pressure mode calculation improvement rate judgment reactivity before and after liquid discharge; and calculating a comprehensive improvement index through a weighting algorithm to determine a surgical indication level. The problem that in the prior art, continuous non-invasive monitoring and objective quantitative evaluation cannot be conducted on the bladder function of an iNPH patient is solved, and the accuracy of cerebrospinal fluid drainage test effect evaluation is improved.

The invention discloses an intelligent cerebral hemorrhage postoperative hydrocephalus risk auxiliary system, which integrates a deep learning algorithm and a medical image analysis technology, and aims to accurately evaluate the postoperative hydrocephalus risk of a cerebral hemorrhage patient. A comprehensive risk assessment model is systematically constructed by comprehensively considering clinical information such as age, gender, medical history, cerebral hemorrhage part and hemorrhage amount of a patient and combining ventricular segmentation and morphological analysis of head CT or MRI image data; the model can automatically extract key features, predict the risk of postoperative hydrocephalus, and provide personalized treatment suggestions for patients. Compared with a traditional method, the system has the advantages that the evaluation accuracy is remarkably improved, the workload of doctors is relieved, reasonable utilization of medical resources is promoted, and a more reliable and efficient solution is provided for hydrocephalus risk evaluation and treatment of cerebral hemorrhage postoperative patients.