165 results about "Nerve fiber bundle" patented technology

Various aspects of this disclosure relate to a layered polymer substrate with electrodes and conductive ink embedded in the substrate. In some embodiments, a prosthetic liner may be bonded onto the polymer substrate. The substrate may include an interconnect coupled to the electrodes via the conductive ink. The system may include a controller (e.g., an electrode controller) in communication with the electrodes via the conductive ink. The electrodes may be activated such that they may stimulate nerve fibers in a user's residual limb.

Various aspects of this disclosure relate to a layered polymer substrate with electrodes and conductive ink embedded in the substrate. In some embodiments, a prosthetic liner may be bonded onto the polymer substrate. The substrate may include an interconnect coupled to the electrodes via the conductive ink. The system may include a controller (e.g., an electrode controller) in communication with the electrodes via the conductive ink. The electrodes may be activated such that they may stimulate nerve fibers in a user's residual limb.

The invention relates to the technical field of medical image recognition, in particular to an ultrasound-guided nerve block liquid medicine diffusion image recognition method, which comprises the following steps of: dynamically analyzing a set with external expansion morphological feature points on a liquid medicine diffusion boundary to construct directional data representing a diffusion trend, and performing density statistics on the directional data to obtain an image recognition result; therefore, the dominant direction of liquid medicine diffusion in space is accurately identified, judgment is carried out in combination with the change trend of the dominant direction in a continuous time frame, a time slice with the stable and continuous direction is screened out, then the method goes deep into a liquid medicine coverage area, the consistency between the pixel gray scale gradient change and the nerve fiber anatomy trend is compared, and the accuracy of the nerve fiber anatomy is improved. Finally, effective classification of the diffusion paths is realized, an effective diffusion area conforming to the trend of the neural structure and a non-dominant diffusion area towards other tissues can be clearly distinguished, and the accuracy and clinical reference value of an identification result are greatly improved.

The invention relates to a medical implant with an electrode arrangement designed as a wrapping cuff, or cuff electrode for short, suitable for extravascular or extraneuronal attachment along an intracorporeal vessel or nerve fiber bundle, and an electrical supply and drainage arrangement having a longitudinal extension, which electrically connects the cuff electrode to an implantable supply unit designed separately from the cuff electrode, wherein the electrical supply and drainage arrangement is surrounded along a section in its longitudinal extension by an elastic sheath, which connects the electrical supply and drainage arrangement to an intracorporeal tissue area in a fixed position via a fastening means that can be brought into operative contact with the elastic sheath. The invention is characterized in that the elastic sheathing has a longitudinal extension and a circumferential edge oriented radially around the longitudinal extension, and that at least one tunnel-like opening contour is arranged on the circumferential edge of the sheathing along at least one cross-sectional plane oriented orthogonally to its longitudinal extension, which is suitable for the local insertion of the fastening element designed as a medical thread.

According to the three-dimensional electric field coupling modeling method for analgesia provided by the invention, the propagation process of an electric field in each physiological tissue is accurately simulated by constructing a multi-layer bionic tissue model, so that the accuracy and effect of analgesia treatment are improved; calculating the conductivity and dielectric constant of each layer of tissue, performing numerical simulation on electric field distribution by using a finite element analysis technology, optimizing electrode configuration and electrical stimulation parameters, and ensuring the uniformity and stability of the electric field of a target area; a neurophysiology model is integrated, the conduction law of nerve fiber action potential is dynamically simulated, the stimulation effect of electric field intensity on nerve fibers is quantitatively analyzed, analgesia parameters are further optimized, and accurate control over pain signal transmission is achieved. The problems that in an existing electrical stimulation technology, electric field distribution is not uniform, electrode contact is not stable, and the stimulation effect is difficult to last are effectively solved, wide clinical application prospects are achieved, and an efficient, stable and accurate solution is provided especially in non-invasive treatment of chronic pain.

The invention discloses a nerve fiber bundle clustering segmentation method and system based on diffusion supervoxels, and relates to the technical field of medical image analysis and artificial intelligence, and the method comprises the steps: receiving three-dimensional brain magnetic resonance data, and carrying out the preprocessing; establishing a personalized diffusion magnetic resonance brain template matched with the crowd by using an iterative registration method; establishing a diffusion weighted undirected graph, and realizing diffusion super voxel segmentation based on the diffusion geodesic distance; realizing fiber bundle clustering based on the maximum group of the nerve fiber connection diagram of the dispersion supervoxel; the dispersion super voxels are registered to an individual space, and personalized segmentation of the fiber bundles is realized by using the maximum clique; constructing a center curve of the fiber bundle cluster and mapping the dispersion characteristics to the curve; and establishing a statistical analysis method of a center curve based on replacement test, and establishing a machine learning classification model.

The invention discloses an antibody targeting a nerve cellosilk light chain as well as a preparation method and application of the antibody. According to the present invention, with the HEAD structure, the prokaryotic recombinant nerve fiber filament light chain antigen has strong immunogenicity, more dominant epitopes are exposed, and the monoclonal antibody with high affinity is prepared through immunization; besides, the HEAD structural domain is fused with the specific label on the carrier, so that the stability of the antigen is greatly improved, the problem of polysinolysis caused by the property of the antigen is solved, and the success rate of antibody preparation is further improved. The antibody or the antigen binding fragment thereof can be used for early diagnosis and prognosis of neurodegenerative diseases.

Methods and apparatus disclosed for treating pain and mobility impairments include synergistic application of various stimuli to a patient. These stimuli can comprise serial and sequential combinations of predetermined subatmospheric pressure values, time-varying voltage waveforms applied to electrodes in contact with different portions of a patient's skin in a matter that produces currents which stimulate nerve fibers that activate muscles, and direct practitioner-assisted mechanical movement of tissue. Apparatus and systems for applying the treatment methods are disclosed.

The invention relates to an ablation control method, system and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring ablation input power corresponding to a to-be-ablated area; an ablation signal is provided for the target electrode so as to apply ablation energy to the to-be-ablated area, and the initial power of the ablation signal is smaller than the ablation input power; in the process of applying ablation energy to the to-be-ablated area, physiological parameters are obtained. Target output power of ablation energy corresponding to the ablation signal is determined according to the physiological parameters, the ablation input power and the ablation progress, the influence degree of the physiological parameters on the target output power is in negative correlation with the ablation progress, and the influence degree of the ablation input power on the target output power is in positive correlation with the ablation progress. The power of the ablation signal is adjusted. By the adoption of the method, the sympathetic nerves in the to-be-ablated area can be ablated on the premise that the nerve fibers are prevented from being irreversibly damaged in the ablation process.

The invention discloses application of plasmalogen in preparation of a medicine for promoting spinal cord injury repair. The invention further discloses application of the plasmalogen in preparation of drugs for regulating neuroinflammation or oxidative stress in spinal cord injury. The invention also discloses application of the plasmalogen in preparation of a medicine for promoting motor function recovery after spinal cord injury. The invention further discloses application of the plasmalogen in preparation of a medicine for neuroprotection in spinal cord injury. The invention further discloses application of the plasmalogen to preparation of a medicine for nerve cell myelin sheath regeneration after spinal cord injury. The invention also discloses application of the plasmalogen in preparation of a medicine for promoting nerve fiber regeneration after spinal cord injury. It is found that plasmalogen can effectively reduce the ROS level and regulate and control neuroinflammation and oxidative stress levels, so that neuronal axis mutability and apoptosis are reduced, and neuronal myelin regeneration is promoted.

The invention relates to a bicyclic heterocyclic compound as well as a preparation method and medical application thereof. In particular, the present invention relates to a compound represented by general formula (IA), a preparation method thereof, a pharmaceutical composition containing the compound, and a use thereof as a PRMT5 inhibitor. The compound and the pharmaceutical composition containing the compound can be used for treating and / or preventing PRMT5 activity related diseases, such as non-small cell lung cancer, mesothelial tissue tumor, nerve fiber sarcoma, pancreatic cancer, solid tumor and the like. Wherein the definition of each group in the general formula (IA) is the same as that in the specification. # imgabs0 #

The embodiment of the invention discloses a brain operation path determination method and device, equipment, a medium and a medical system. The brain operation path determination method comprises the steps that a brain structure model and at least one target spot of a target user are obtained; based on the brain structure model, determining an information transfer relationship between each nuclear group sub-model and each nerve fiber sub-model; determining a plurality of candidate operation schemes based on the plurality of preset path starting points, the target group sub-model to which the at least one target point belongs and the information transfer relationship; for each candidate operation plan, performing quality evaluation on the candidate operation plan based on a quantitative evaluation model under at least one evaluation dimension, and determining a path quality attribute corresponding to each candidate operation plan; according to the method, at least one target recommended operation scheme is determined based on each path quality attribute, a plurality of candidate paths conforming to nerve conduction characteristics are automatically generated, and an optimal scheme is screened through a quantitative evaluation model, so that the brain tissue injury risk and the operation complexity are effectively reduced while the operation precision is improved.

Systems and methods of neurofeedback intervention reduce the negative effects of neurological disorders, including Parkinson's disease, essential tremor, dystonia, epilepsy, dysfunction following stroke, obsessive-compulsive disorder, Tourette syndrome, dementia, complex regional pain syndrome, and the like. Haptic devices, including eccentric-mass actuators and computer-controlled tightening haptic straps provide haptic sensation to a body. The haptic sensations are controlled by a haptic control signal determined by a control program. The control program may determine the haptic control signal from a neurological signal from an EEG, an electrode detecting a signal in a nerve fiber, or an accelerometer. Haptic therapy un-trains and desynchronizes abnormal neuron synchrony, to reduce the negative effects of neurological disorders.

Apparatus and methods for treating back pain are provided, in which an implantable stimulator is configured to communicate with an external control system, the implantable stimulator providing a neuromuscular electrical stimulation therapy designed to cause muscle contraction to rehabilitate the muscle, restore neural drive and restore spinal stability; the implantable stimulator further including one or more of a number of additional therapeutic modalities, including a module that provides analgesic stimulation; a module that monitors muscle performance and adjusts the muscle stimulation regime; and / or a module that provides longer term pain relief by selectively and repeatedly ablating nerve fibers. In an alternative embodiment, a standalone implantable RF ablation system is described.

The invention discloses an intracranial electrode lead track generation method, device and system, a medium and a product. The method comprises the following steps: acquiring medical image data of the brain of a patient after an electrode lead is implanted into the intracranial of the patient; extracting a feature point set corresponding to the electrode lead from the medical image data; according to trajectory features of the electrode lead in the cranium of the patient, a target feature point set implanted into the cranium of the patient is screened out from the feature point set, and the trajectory features at least represent that the bending degree of the electrode lead in the cranium of the patient does not exceed a preset bending value; and according to the target feature point set, simulating to obtain an intracranial electrode lead track of the patient. According to the method, the intracranial electrode lead wire part can be accurately identified by utilizing the intracranial trend of the electrode lead wire, and accurate three-dimensional visual rendering is performed on the intracranial electrode lead wire through the point corresponding to the intracranial electrode lead wire part, so that a doctor can better understand the position relationship between the intracranial electrode lead wire and the surrounding nerve fiber bundle, and the accuracy and the reliability of the system are improved. Doctors can optimize program control parameters, and the treatment effect is improved.

The invention relates to the technical field of neurosurgery navigation, in particular to a neurosurgery brain puncture path accurate planning method and system.The neurosurgery brain puncture path accurate planning method comprises the following steps that by obtaining a preoperative brain function area image and nerve fiber bundle data, a function area range and sensitivity are extracted, a focus and cranial entry point path set is constructed, and a path set is established; the method comprises the steps of analyzing the distance between a path and a functional area and a fiber bundle included angle, calculating a functional interaction risk, dividing path sections and calculating the distances to a blood vessel, a ventricle and the functional area, generating obstacle field intensity and calculating a gradient difference, constructing a risk map, scoring candidate paths, and screening an optimal path to generate a puncture result. The method comprises the following steps: extracting a brain function region range and a fiber bundle direction, introducing a function sensitivity parameter, improving tiny damage identification, calculating obstacle field intensity in a path segmentation manner, forming a gradient, dynamically identifying a high-risk region, grading and screening candidate paths by integrating risk factors, performing function protection and risk reduction, and improving path planning refinement and safety.

The present application relates to the technical field of medical image processing, in particular to an image intelligent analysis system for corneal nerve fibers of dry eye patients, which comprises an image acquisition module, an image preprocessing module, a nerve fiber segmentation module, a nerve morphological analysis module based on differential geometry, a nerve regeneration monitoring module, a data management module and a clinical auxiliary decision module. The nerve morphological analysis module based on differential geometry is the core innovation, which contains a nerve fiber curvature analysis unit, a multi-scale differential invariant extraction unit and a nerve network topology structure quantification unit. The system introduces the theory of differential geometry, represents the nerve fiber through a parameterized curve and calculates the local curvature characteristics. A Gaussian scale space is constructed to extract multi-scale differential invariants. The graph structure representation of the nerve network is established to analyze the topological characteristics. The morphological characteristics of the corneal nerve fibers can be quantified comprehensively from the local curvature to the global topological structure, and the accurate detection of the slight changes of the nerve fibers is realized.

According to various embodiments, systems, devices and methods for modulating targeted nerve fibers (e.g., hepatic neuromodulation) are provided. The systems may be configured to access tortuous anatomy of or adjacent hepatic vasculature. The systems may be configured to target nerves within a wall of (e.g., within adventitia surrounding a lumen of) an artery or other blood vessel, such as the common hepatic artery.

The invention relates to the technical field of biomedical engineering, and discloses a neural conduction pathway quantitative analysis method and system based on a neural potential waveform. The system comprises: a bioelectric signal acquisition module configured to establish a time sequence characterizing the change of neural current over time; the waveform deep learning module is configured to fit conduction waveforms of the A beta nerve fiber, the A delta nerve fiber and the C-type fiber by using a deep learning algorithm based on the time sequence, and identify a peak point of the conduction waveform of each fiber; the quantitative analysis module is configured to calculate the frequency and intensity function of each fiber conduction signal according to the peak point, and the physiological characteristic parameters comprise the myelination degree, the conduction speed and the sensitivity to anesthetics; and the control module is configured to generate a differential blocking strategy aiming at the A beta nerve fiber, the A delta nerve fiber and the C-type fiber based on the frequency and intensity functions and generate the anesthetic dosage. And specific recognition and differential blocking control of A beta, A delta and C type fiber signals are realized.

Differential charge-balancing can be used in high-frequency neural stimulation. For example, a neural stimulation apparatus can have first and second electrodes configured to be coupled proximate to a nerve fiber to implement a neural stimulation procedure. A neural stimulation circuit can be electrically coupled to the first and second electrodes. The neural stimulation circuit can apply stimulation currents to the nerve fiber through the first and second electrodes during a first stimulation phase of the neural stimulation procedure. The neural stimulation circuit can also apply a modified stimulation current to the nerve fiber through the first electrode during a second stimulation phase of the neural stimulation procedure. The modified stimulation current can be generated based on a difference between (i) a voltage at the first electrode, and (ii) a reference voltage derived from voltages on the first and second electrodes.

Systems, devices, and methods for affecting a patient's organ function by innervating one or more organs of the patient are described herein. Innervating one or more organs of the patient is induced via electrical stimulation to nerve fibers, such as afferent nerve fibers, of one or more of the patient's dorsal roots. Electrical stimulation to dorsal root nerve fibers is delivered using at least one intravenous electrode disposed within a vein of the patient proximate to the dorsal root nerve fibers.

The invention discloses a nerve cryoablation puncture needle suite with a nerve stimulation module, and relates to the technical field of medical equipment, the nerve cryoablation puncture needle suite comprises an ultrasonic easy-to-develop puncture needle main body, and the puncture needle main body is connected with a three-way valve; the probe body is connected with the needle body, the delivery pipe is arranged on the surface of the outer end of the needle body, and the other end of the delivery pipe is communicated with the three-way valve and can be used for drug delivery. After the tail end of the needle core is connected with the nerve stimulation module, current can be quantitatively output, the tip of the needle core can stimulate nerve fibers with the diameters from small to large, nerve sensation or movement reaction can be induced, focus-related nervous tissue can be accurately targeted, tissue specificity in the treatment process is ensured, and accuracy and safety of pain treatment are improved. The refrigerating pipe is arranged at the middle end in the needle body, the vacuum cavity is formed in the inner wall of the needle body, when the refrigerating fluid is vaporized and discharged through the outlet, the refrigerating fluid which is not vaporized completely makes contact with the outlet, the filler is cooled and expands to block the outlet, and the refrigerating fluid is effectively prevented from overflowing at low temperature.

The invention provides a method for removing noise signals in a brain-computer interface through a force-electric decoupling method, and the method comprises the steps: collecting signals generated in the brain-computer interface, including electric signals transmitted by nerve fibers, interference electric signals and electric signals caused by force signals of various loads in the brain; electric signals caused by action potential are removed through the force-electricity constitutive relation of the liquid-containing porous material, electric signals caused by force signals of various loads in the brain are decoupled, and electric signals conducted by nerve fibers are reserved. According to the method, noise signals generated due to the electrokinetic effect in the brain-computer interface can be effectively removed, and electric signals conducted by nerve fibers can be accurately obtained.

The invention discloses an implantable electrode and a system for treating hypertension by adopting the same. The implantable electrode for treating hypertension comprises a catheter, a stimulating electrode slice, a guide wire and an insulating film, the two stimulating electrode plates are arranged on the two sides of the exterior of the catheter respectively, are connected with the exterior through guide wires arranged in the catheter respectively and are used for emitting current to stimulate nerves according to external signals; one end of the insulating film is arranged outside the catheter and located between the two stimulating electrode slices and used for wrapping the stimulating electrode slices making contact with the nerves and the outside of the nerves so that the stimulating electrode slices can be insulated from the outside. The invention discloses a system for treating hypertension by adopting an implantable electrode. The system comprises an implantable electrical stimulation device, a blood pressure monitoring device and a remote analysis monitoring platform. According to the implantable electrode and the system for treating hypertension by adopting the implantable electrode disclosed by the invention, extremely low-intensity electrical stimulation is given to renal sympathetic nerve introduced nerve fibers in dorsal root nerves through the stimulation electrode to inhibit the activity of the nerve fibers, so that the blood pressure of a patient is kept relatively stable, and the risk of complications caused by blood pressure fluctuation is reduced; the medicine taking amount of a hypertensive patient can be greatly reduced, and even the hypertensive patient may stop taking hypertensive medicines.

A method of activating a piezoelectric neuroconduit guide scaffold including a plurality of aligned piezoelectric polymer nanofibers, the method including mechanically stimulating the piezoelectric neuroconduit guide scaffold with hydro-acoustic waves or shockwaves to remotely activate a piezoelectric effect of the nanofibrous scaffolds that induces a mechano-electrical stimulus on neural cells cultured on the scaffold, wherein the mechano-electrical stimulus promotes nerve fiber outgrowth from the neuronal cells. Some aspects relate to seeding individual components of neural tissues on the piezoelectric neuroconduit guide scaffold, wherein the hydro-acoustic stimulation induces neural tissue formation. In other aspects, the piezoelectric neuroconduit guide scaffold is implanted in a damaged neural tissue, wherein stimulating the piezoelectric neuroconduit guide scaffold by the application of shockwaves promotes nerve fiber outgrowth that bridges a nerve gap to induce nerve regeneration or reinnervation of the damaged neural tissue.

The invention discloses a brain tumor potential recurrence risk area determination device and a model training method, and relates to the field of medical science and technology and the field of artificial intelligence. The device comprises a delineation determination unit used for determining a brain tumor delineation area based on a target medical image of a target object; the nerve fiber reconstruction unit is used for simulating and reconstructing image information of N target nerve fibers of the target object according to the target medical image; and the risk area prediction unit is used for inputting the target medical image and the image information of the N target nerve fibers into the target model, performing feature extraction on the received information through the target model, and determining a recurrence risk area of the brain tumor of the target object according to the extracted features by using priori knowledge in a model training stage. According to the method and the device, the technical problem of low accuracy of determining the potential recurrence risk area of the brain tumor caused by judging the risk diffusion condition of the brain tumor only through imaging observation or expert experience in the prior art is solved.

The application discloses a preparation method and application of a nerve conduit with a multistage biomimetic nerve membrane structure and belongs to the technical field of tissue engineering materials. The nerve conduit with the multistage biomimetic nerve membrane structure comprises a biomimetic inner membrane support with a secondary guiding structure and a biomimetic outer membrane support with a double-layer structure. In the nerve conduit with the multistage biomimetic nerve membrane structure, the filler for playing a growth guiding role has a multistage guiding structure, the primary guiding is that cells are directionally migrated along the fiber direction in the directional fiber membrane, are elongated in shape on the fiber and are accelerated in differentiation, and the secondary guiding is that directional microchannels constrain the growth of nerve fibers, promote the maturation of bundling and the alignment of the growth direction. The application solves the problem of insufficient contact guiding efficiency existing in the prior art and overcomes the contradiction between the filling density of guiding fibers, the growth space and the guiding effect.

The invention provides a construction method and device for a brain structure connection atlas, and the method comprises the steps: obtaining a three-dimensional fluorescence microscopic image of brain cells; calculating a response function according to the gradient distribution of the unidirectional fiber groups; according to the gradient weighted sampling data and the response function of each voxel v in the three-dimensional fluorescence microscopic image, constructing a brain structure connection map; the gradient weighted sampling data at each voxel v represents discrete sampling in each direction of the gradient spherical continuous distribution function within a predetermined range near each voxel v. According to the method, the three-dimensional orientation distribution of the white matter nerve fibers of the brain can be obtained through analysis, then the three-dimensional brain structure connection diagram is constructed according to the fiber orientation distribution, and the method has the advantages of being high in speed, high in precision and capable of achieving three-dimensional analysis.

The invention discloses a brain image VR system developed based on unity and blender. The system comprises a nerve fiber direction sensing coloring module, a multi-brain structure model intelligent splitting and memorizing module, a double-data-set layered precise control module, an intelligent profile generation module, a double-end adaptive intelligent slicing module and a customized VR immersive interaction module. The invention further provides a brain image VR method based on unity and blender development. According to the method, the display and rendering efficiency problem of the brain image OBJ model in Unity is effectively solved; the comfort of model observation in the VR scene is improved; and the adaptation stability of the system to different brain image data is ensured.

An endovascular system for targeted photothermal ablation of perivascular nerves is disclosed. A catheter includes a fluid lumen communicating with outlet orifices, and an electromagnetic radiation emitter positioned within a support structure that apposes the array against a vessel wall. A proximal console independently controls irradiation and injection parameters. In use, a nanofluid comprising plasmonic nanoparticles, such as gold nanorods tuned for near-infrared absorption, is injected into or through the vascular wall and subsequently irradiated intraluminally; the nanofluid absorbs energy and converts it to heat to ablate adjacent nerve fibers while reducing non-target tissue heating.