230 results about "Cranial nerves" patented technology

A neurophysiological magnetic stimulation (NMS) method includes obtaining motor thresholds over one or both motor strips adhered to the patient's head or the equivalent anatomic region for treatment of non-brain, nervous system disorders. The method further includes applying magnetic stimulation coils to a therapeutic target region of the patient's brain, brainstem, spinal cord, or peripheral nervous system and applying NMS in increasing amplitudes as tolerated over the course of treatment.

The invention provides an electromagnetic photoacoustic synchronous integrated brain function imaging method and device, and relates to the field of multi-mode brain function imaging research. According to the invention, electroencephalogram, magnetoencephalogram, functional near infrared spectrum and functional ultrasonic imaging technologies are fused, important advantage complementation is formed in signal specificity and temporal-spatial resolution, and neural activity can be described from the angle of human cranial nerve electrophysiology and neural metabolism can be observed from hemodynamic information at the same time. And electrophysiology and hemodynamic activities of the brain can be synchronously recorded.

The invention discloses a cranial nerve double-path stimulation intelligent regulation and control method and system for Parkinson's disease, and relates to the technical field of medical treatment and neural engineering, and the method comprises the steps: obtaining an electroneurographic signal of a target patient based on a stimulation electrode, and determining neural activity features according to the electroneurographic signal; the stimulating electrodes comprise a first stimulating electrode and a second stimulating electrode; determining a nerve evaluation value according to the nerve activity characteristics, and generating a co-stimulation parameter based on the nerve evaluation value; initial stimulation parameters of the stimulation electrode are adjusted based on the co-stimulation parameters, the target patient is stimulated through the stimulation electrode, and cranial nerve two-way stimulation intelligent regulation and control for the Parkinson's disease are completed. According to the invention, by introducing the abnormal oscillation mode and evaluating the synchronism characteristics of the neural network in real time, the neural activities of the deep brain and the vagus nerve area are comprehensively quantified, and the accuracy of nerve regulation and control is improved; by generating collaborative stimulation parameters and comprehensively considering the mutual influence of the two stimulation pathways, intelligent collaborative regulation and control are realized.

The invention relates to the technical field of brain function imaging, in particular to a target crowd recognition method and device based on neural blood flow feature multi-level fusion, and the method comprises the steps: collecting brain nerve blood flow signals of normal and target crowds by using synchronous EEG-fNIRS equipment, preprocessing and extracting single-mode features, and obtaining a single-mode feature set; a multi-frequency local nerve and blood vessel coupling analysis method is used for calculating nerve and blood vessel coupling strength characteristics, a space co-positioning method is used for unifying nerve and blood flow modal space information, the position precision is improved, and data layer fusion is achieved; and integrating and analyzing different modal feature space relationships by using a Yeo7 brain template to realize feature layer fusion, and finally training various machine learning classifiers by using significant difference features to realize identification of a target population. Therefore, the problems that in the prior art, macroscopic signal correlation is paid more attention to, so that analysis of the synergistic effect of cross-modal space information in a specific brain region is deficient, and deep understanding of a neurovascular function mechanism and brain region role revelation are restricted are solved.

The invention discloses percutaneous nerve field vagus nerve stimulation diagnosis and treatment equipment and a diagnosis and treatment method thereof, and particularly relates to the technical field of neuromedicine, intelligent medical equipment and multi-mode physical therapy. The equipment comprises a neural signal acquisition module, a nerve positioning module, a data processing and analysis module, a treatment execution module and a diagnosis result output module; the system is further provided with a battery power management module, a self-adaptive closed-loop cloud platform and a wearable fixing device, by collecting bioelectricity signals, light absorptivity and temperature data of an ear nerve area, ear target cranial nerve branches are positioned, a dynamic diagnosis map is constructed, and a diagnosis result and personalized treatment parameters are generated. Electric pulse, near-infrared light and local thermal therapy multi-mode collaborative stimulation is adopted for treatment, and parameters are monitored and adjusted in real time through a cloud platform. According to the invention, accurate diagnosis and personalized treatment can be realized, the medical efficiency and the treatment effect are improved, and an effective means is provided for nerve disease diagnosis and treatment and pain relief.

The invention discloses a student high-order thinking evaluation system based on artificial intelligence, and belongs to the technical field of artificial intelligence learning evaluation. In order to solve the problems of insufficient data integration ability and incomplete evaluation of the current learning evaluation system, the invention aims to develop a student high-order thinking evaluation system based on artificial intelligence, and the system combines the latest education, psychology, learning science, cranial neuroscience and information technology theories. And a comprehensive, systematic and digital-intelligent high-order thinking evaluation system is constructed. The system monitors and analyzes the learning process and high-order thinking degree of students in real time through the artificial intelligence technology, and generates personalized feedback and suggestions. Meanwhile, the system integrates multi-source data, covers cognitive and non-cognitive factors of the students, and realizes comprehensive evaluation of abstraction, meta-cognition, criticality, anti-fact-hypothesis and creative thinking of the students. The system provides a brand new scheme for education evaluation, and promotes digital transformation of education evaluation.

The invention relates to a cross-domain electroencephalogram emotion recognition method and device based on multi-scale relation learning, and the method comprises the steps: inputting an electroencephalogram signal into a multi-scale relation learning network, and obtaining a fused emotion feature through a multi-scale separation module, a connection relation learning module and a multi-scale fusion module which are connected in sequence in the multi-scale relation learning network; wherein the fused emotional features comprise information of a plurality of source domains; and inputting the fused emotion features into a general feature induction network, eliminating interference of the personalized emotion features on emotion recognition by using a Dirichlet priori network in the general feature induction network, and obtaining an emotion recognition result. According to the technical scheme, the multi-scale relation learning network is used for capturing the emotional characteristics, the brain connection relation better conforming to cranial neuroscience can be learned, emotional information of multiple source domains is comprehensively considered, the fused emotional characteristics are concluded, personalized emotional interference is eliminated, and the generalization ability is improved.

The invention discloses a covalent functionalized MXene artificial synapse and a preparation method thereof, relates to the technical field of artificial intelligence, and aims at solving the problems of how to enrich the overall characteristics of cranial nerve-like chips and promote the artificial intelligence technology. The preparation method comprises the following steps: selecting a substrate; performing patterning treatment on the grid electrode, the source electrode and the drain electrode on the substrate by utilizing a photoetching process, and performing electron beam evaporation to deposit a metal layer and performing stripping to obtain a metal electrode pattern; carrying out patterning processing on the channel region on the substrate by utilizing a photoetching process; the MAX phase material is subjected to in-situ acid etching in combination with mechanical stripping to obtain a few layers of T < 3 > C < 2 > TX MXene; forming a uniform T < 3 > C < 2 > TX MXene film on the substrate through a coating process, and obtaining a channel region pattern through stripping; preparing an iodonium salt solution, and immersing the prepared device into the iodonium salt solution to complete covalent functionalization; and preparing an electrolyte solution, and dripping and casting electrolyte on the Ti3C2TX MXene channel layer, the grid electrode and the exposed substrate.

An implantable neuromodulation system can include an electrode configured to be disposed at or near a first branch of a hypoglossal nerve of a patient and configured to provide a first electrostimulation therapy to treat a sleep disorder or breathing disorder of a patient. The system can include a sensor configured to provide a sensor signal that includes information about a patient response to the first electrostimulation therapy, information about a patient respiration, or information about one or more other physiologic status indicators for the patient. The sensor signal information can be used to quantify a progression of a breathing disorder for the patient.

The invention provides an application of a human retina organ in preparation of a medicament for treating traumatic optic neuropathy. According to the invention, the induced and differentiated human retina-like organ is applied to the optic nerve injury area, and the eye and brain nerve connection can be functionally reconstructed, so that the damaged visual function is recovered.

The invention provides a surgical process management method and system, and relates to the technical field of surgical process management.The method comprises the steps that DTI, fMRI and 3D-T1WI image data are fused through a non-rigid registration algorithm, a three-dimensional brain network atlas is generated, then an LSTM deep learning model is constructed, a brain surface displacement field monitored in real time in an operation is used as input, and an LSTM deep learning model is constructed; a deep tissue displacement value is used as a label for training to obtain a deep tissue displacement predicted value, and a dynamic relation between brain neural element electrical activity and oxyhemoglobin saturation is analyzed by combining data monitored by high-frequency EEG and near infrared spectrum and utilizing a wavelet time-frequency coherence algorithm to obtain a dynamic influence coefficient; and finally, combining the deep tissue displacement predicted value with the dynamic influence coefficient, calculating a comprehensive evaluation index, and comparing the comprehensive evaluation index with a preset threshold value, so that a surgeon can quickly adjust an operation strategy and timely deal with possible risks.

The invention relates to the technical field of cranial nerve regulation and control, and discloses a dynamic closed-loop nerve regulation and control method integrating an ultrasonic array element and an fNIRS probe, which adopts a mode of combining a near-infrared light detector and the ultrasonic array element, can utilize the characteristics of transcranial focused ultrasound to stimulate deep nuclei of the brain, and utilizes near-infrared to observe the change of cerebral cortex in real time. Real-time observation of brain blood oxygen level change caused by cortical excitability of each brain region of a brain function network is realized, closed-loop feedback is formed, then dynamic parameter adjustment is performed on the phased array ultrasonic array, dynamic closed-loop nerve regulation and control of the integrated ultrasonic array element and the near-infrared brain function imaging probe are realized, and the brain blood oxygen level change is observed in real time. And the maximum change of the cortex excitability of the expected brain region or the brain network node is obtained through the focusing process, so that the precision of the stimulation target region is realized.

The invention provides a cranial nerve fatigue assessment method and device, equipment and a medium, and relates to the technical field of smart medical treatment, and the specific implementation mode comprises the steps: collecting multi-dimensional eyeball movement features of an assessment object in the process of performing visual guidance on the assessment object to execute a plurality of eye movement tests, the multi-dimensional eyeball activity features are controlled and realized by different functional structures of the brain; the multi-dimensional eyeball movement features are input into a fatigue assessment neural network model, the neural network model outputs a cranial nerve fatigue assessment value, and the fatigue assessment neural network model is a neural network model constructed based on a mesh mapping relation of the eyeball movement feature-brain structure-fatigue performance. The fatigue manifestation is a change condition of eye movement activity characteristics during cranial nerve fatigue. According to the method, the problems of low efficiency, single evaluation dimension, one-sided judgment basis and the like of an existing fatigue evaluation method are solved, the evaluation accuracy and reliability are improved, and comprehensive, systematic and efficient fatigue monitoring is realized.

The invention provides a cognitive function evaluation method based on neurovascular coupling analysis. The method comprises a signal preprocessing step, a signal processing step, a feature extraction step and a coupling coefficient calculation step. A new normal form of cognitive evaluation is constructed from nerve-blood vessel coupling and cross-system cooperation dimensions, and accurate description of a cognitive state is realized through real-time quantification of a dynamic cooperation effect of brain nerve activity (EEG) and blood flow regulation (CBP variability) and establishment of an association relationship between a dynamic cooperation index and cognitive ability (alertness, reaction speed and memory). And a new objective basis is provided for the fields of plateau medicine, intelligent health, neurological and mental disease diagnosis and treatment and the like.

The invention discloses an audio feature extraction method based on a cranial nerve model, and the method comprises the steps: obtaining voice signal data, carrying out the preprocessing of a voice signal, and segmenting the voice signal into N voice segments; extracting acoustic features representing emotional conditions from each voice segment, normalizing the acoustic features, and synthesizing the acoustic features into a multi-channel voice spectrogram; and inputting the multi-channel speech spectrogram into the RBA-FE model, outputting a BDI score, carrying out depression degree prediction classification according to the BDI score, adjusting parameters of each network layer in the RBA-FE model according to the difference between prediction classification and actual classification, and obtaining an optimal RBA-FE model to carry out depression degree detection. According to the method, the cell selectivity in the auditory cortex of the human brain is simulated, the problems of overfitting and non-noise resistance of the LSTM are solved by adopting a self-adaptive activation mechanism, and precise recognition of the depression voice under different noise interferences is realized.

The invention relates to the technical field of electroencephalogram examination, and discloses an electroencephalogram examination device for cranial nerve feedback training, which comprises a support column, a lantern ring, a transverse plate, a vertical frame and a helmet, the supporting column is vertically fixed to the upper portion of the side edge of the balance weight seat, the lantern ring is rotatably arranged on the outer ring of the upper portion of the supporting column in a sleeving mode, the limiting plates close to the lantern ring are fixed to the portions, above and below the lantern ring, of the outer ring of the supporting column, the transverse plate is transversely welded and fixed to the side edge of the lantern ring, and a transverse penetrating opening penetrating vertically is formed in the surface of the transverse plate. The vertical frame is arranged in the penetrating opening of the transverse plate in a sliding mode, the transverse plate can rotate, the position of the vertical frame can be changed at will so that a wearer can use the helmet at different positions conveniently, the lifting rope is connected to the upper portion of the helmet and wound around the fixed pulley in the vertical frame, the balancing weight is connected to the tail end of the fixed pulley, and the weight of the balancing weight is smaller than that of the whole helmet; the helmet can be lifted upwards, so that the burden on the head of a person to be detected when the person wears the helmet is reduced, and long-time detection is easier.

The invention relates to the technical field of electroencephalogram characteristic index calculation, and discloses a chronic pain electroencephalogram index calculation algorithm, which comprises a data preprocessing stage, a multi-layer perceptron architecture design, a model training stage, a model evaluation stage and a multi-scale information fusion stage. The data preprocessing stage further comprises normalization and data division; the architecture design of the multi-layer sensor comprises an input layer, a hidden layer and an output layer; the model training stage comprises a loss function and optimization algorithm, forward propagation, loss calculation, back propagation and parameter updating one-set repeated training; in the model evaluation stage, evaluation needs to be carried out on a test set, and hyper-parameters are adjusted. According to the method, the connection strength or the activity level of different regions of the brain under different threshold values is reflected, the association between the brain nerve activity and the chronic pain can be described more comprehensively by fusing the connection strength or the activity level, the pain related mode hidden in the association can be mined, the limitation of single feature analysis is avoided, and comprehensive evaluation of the chronic pain is facilitated.

The invention relates to a time coherence electrical stimulation regulation and control method based on target region self-adaption. The method comprises the following steps: acquiring image information of a user and constructing a craniocerebral nerve three-dimensional model according to the image information; adding a simulation electrode in the craniocerebral nerve three-dimensional model, and configuring stimulation attributes of the simulation electrode; obtaining position information of a target region, and mapping the target region into the craniocerebral nerve three-dimensional model through a pre-constructed mapping matrix; calculating the volume of the target region according to a preset volume calculation algorithm, obtaining a corresponding electrode layout instruction from a pre-constructed layout mapping library according to the volume of the target region, and configuring the simulation electrode in a corresponding craniocerebral nerve three-dimensional model according to the electrode layout instruction; and configuring a corresponding optimal stimulation parameter through a preset parameter adaptation sub-strategy so as to enable the envelope modulation electric field in the craniocerebral nerve three-dimensional model to be matched with the target region. TI electrical stimulation parameters can be adaptively adjusted, and the problem that existing TI electrical stimulation parameters are difficult to set is solved.

The present invention relates to a helmet-type magnetic stimulation device for providing non-invasive treatment by applying a magnetic field to cranial nerve cells or scalp cells, the helmet-type magnetic stimulation device comprising: a helmet-type case part; a magnetic field generation part for generating a magnetic field in order to apply a magnetic field to the head; and a fixing part installed on one inner side of the case part to fix and support the magnetic field generation part at a predetermined position on the head. Therefore, the present invention includes a magnetic field generation part for generating a magnetic field in order to apply a magnetic field to the head, inside the case part.

The invention discloses a system for analyzing the influence of photostimulation on amygdala function regulation and control, and relates to the field of brain nerve regulation and control, the system comprises a photostimulation module, an intracranial electroencephalogram recording module and an amygdala physiological activity analysis module, the photostimulation module issues intermittent photostimulation to a subject; the intracranial electroencephalogram recording module is used for recording continuous electroencephalogram signal data of the amygdala before and during photostimulation of the subject; the amygdala physiological activity analysis module preprocesses the electroencephalogram signal data, judges the amygdala function change of a specific frequency band according to the neural oscillation energy change rate of the specific frequency band, and forms an optical frequency-amygdala function change database, thereby obtaining the optical stimulation frequency influencing the amygdala function. The invention can overcome the problem that the scalp electroencephalogram is difficult to capture the nerve activity of the amygdala nucleus; in addition, the photostimulation frequency capable of influencing the functions of the amygdala kernel is obtained, and clinical reference is provided for accurately intervening the functions of the amygdala kernel.

The invention provides an application of a human retina organ in preparation of a medicament for treating traumatic optic neuropathy. According to the invention, the induced and differentiated human retina-like organ is applied to the optic nerve injury area, and the eye and brain nerve connection can be functionally reconstructed, so that the damaged visual function is recovered.

The present invention discloses the application of Chinese medicine Polygonum aviculare in the preparation of drugs for preventing and treating stroke. It relates to the field of biomedicine technology. The present invention shows that Chinese medicine Polygonum aviculare can significantly reduce the brain water content and brain index of experimental animals, and can treat brain edema. The drug has the effects of promoting blood circulation and removing blood stasis, can eliminate cerebral vascular blockage and inflammation, resist cerebral vasospasm, maintain normal cerebral vascular function, regulate normal permeability of brain barrier, promote angiogenesis, promote brain nerve function repair and regeneration, and greatly restore the nerve damage and behavioral ability of patients with cerebral stroke. Chinese medicine Polygonum aviculare can be dialectically used for the prevention and treatment of various courses of ischemic stroke and hemorrhagic stroke. The present invention not only provides a new application of Chinese medicine Polygonum aviculare, but also provides a new drug for preventing and treating ischemic stroke and hemorrhagic stroke.

A Maclura pubescens extract or fraction or a Prunus cerasoides extract or fraction having neuroglobin (Ngb) activation and neuroprotective effects and, on the basis thereof, a neuroprotective composition containing, as an active ingredient, a Maclura pubescens extract or fraction or a Prunus cerasoides extract or fraction. The neuroprotective composition can be used, through the activation of neuroglobin (Ngb), as a pharmaceutical composition or a food composition for treatment, alleviation and prevention of a stroke, a cerebral infarction, thrombosis, cerebral degenerative disease, vascular dementia, memory loss, short-term memory impairment, a concentration disorder, anxiety, nervousness and the like, and for brain damage protection, brain function improvement and cranial nerve cell protection.

The invention relates to a cranial nerve motor function evaluation system and method based on a terminal with a camera. The system comprises a camera used for collecting a high-definition video sequence of facial actions; the model is used for identifying positioning points of the face according to the high-definition video sequence acquired by the camera; the analysis and evaluation module is used for quantitatively evaluating the cranial nerve motor function state according to the change of the positioning points of the face acquired by the model; the analysis and evaluation module performs analysis and evaluation according to the change quantitative indexes of the positioning points of the face; the camera, the model and the analysis and evaluation module are all deployed at the terminal; and the model and the analysis and evaluation module are deployed in an operating system of the terminal. The evaluation system and method are deployed on a common terminal, and are used for collecting a video sequence of a user completing a standard evaluation action, automatically identifying the movement of a positioning point of a face, and outputting a quantitative score according to a medical standard so as to evaluate human face muscle movement and a cranial nerve function state.

The application provides a wireless and battery-free brain nerve stimulator and a preparation method. The brain nerve stimulator can be driven by a mobile phone loudspeaker, and a resonator designed can effectively amplify a piezoelectric signal. The brain nerve stimulator comprises two parts: a base provided with implantable nerve stimulation electrodes and a resonant cavity device connected through magnetic coupling. The design scheme of the brain nerve stimulator provides a general method for inhibiting epilepsy. The brain nerve stimulator can be extended to target brain deep layers or surface areas and peripheral nervous systems. A stimulation mode can be wirelessly transmitted and controlled. It is proved by electroencephalogram recording of free-moving mice that the wireless nerve stimulator can effectively relieve seizure events of the epileptic mice in vivo.

The present invention relates to the field of medical rehabilitation, and specifically discloses an upper limb cranial nerve rehabilitation training system and training method. The upper limb training control system includes: an information acquisition module that collects historical trainee upper limb motion trajectory information and upper limb training parameters based on a multidimensional sensor; a virtual reality and human-computer interaction module that displays a training virtual reality scene based on a trainee's head-mounted display, and controls a robot to drive the trainee's upper limb to perform motion based on the training virtual reality scene and controls the trainee's head-mounted speaker to feed back the robot training information; a trajectory tracking module that obtains the trainee's upper limb training feedback after human-computer interaction in real time, and tracks and follows the upper limb training movement trajectory in real time; a warning analysis module that analyzes the tracking results of the upper limb training movement trajectory and receives the trainee's upper limb training feedback and warnings; and a feedback module that adjusts the trainee's upper limb motion trajectory information based on the upper limb training feedback and updates a three-dimensional trajectory model.

Neurostimulation therapy can be efficiently controlled based on information from an acceleration signal, such as can be obtained from an accelerometer. In an example, the accelerometer can be implanted in a cervical region or submandibular region of a patient. Circuitry can be configured to identify a first series of respiration phase transition events in the acceleration signal and, in response, provide the neurostimulation therapy synchronously with an inspiration phase of a patient's respirator cycle. In an example, m absence of identifying the first series of respiration phase transition events in the acceleration signal, the neurostimulation therapy can be provided asynchronously with the patient's respiratory cycle.

The invention relates to a traditional Chinese medicine composition, in particular to a traditional Chinese medicine composition for improving hypomnesis, which is prepared from the following components in parts by weight: 15-20 parts of codonopsis pilosula, 12-15 parts of roasted rhizoma atractylodis macrocephalae, 12-15 parts of poria cocos, 12-15 parts of mangnolia officinalis, 12-15 parts of whole angelica sinensis, 6-9 parts of ligusticum wallichii and 20-30 parts of roasted wild spina date seeds. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: 15-20 parts of fried semen boitae, 12-15 parts of fried longan pulp, 15-20 parts of fructus lycii, 20-30 parts of dragon bone, 10-15 parts of (prepared) tortoise plastron, 10-15 parts of fried polygala tenuifolia, 10-15 parts of rhizoma acori graminei, 10-15 parts of (prepared) cistanche, 9-12 parts of schisandra chinensis, 12-15 parts of raw dried rehmannia root, 10-15 parts of cortex albiziae, 9-12 parts of radix ophiopogonis and 6-9 parts of honey-fried licorice root. According to the present invention, the brain microcirculation can be improved, the brain blood nutrition running can be promoted, the brain cell activity can be activated, the bidirectional regulation effect on the contraction and the relaxation of the brain blood vessel can be provided, and the cranial nerve repairing and recovering function can be provided.

The invention discloses a traditional Chinese medicine preparation for repairing damaged cranial nerves, which is prepared by mixing gastrodia elata, radix angelicae, radix paeoniae rubra, arisaema cum bile, ligusticum wallichii, fructus viticis, divaricate saposhnikovia root, ligusticum, poria cocos, radix polygoni multiflori preparata, turmeric, silkworm larva, asarum, mint, semen brassicae, achyranthes root, schizonepeta spike, liquorice, Korean monkshood root, scorpion, radix aconiti preparata, earthworm, leech, ground beetle and centipede according to a certain weight ratio. The traditional Chinese medicine composition is simple to prepare, quick to absorb, remarkable in curative effect, long in drug effect duration, free of side effects, high in safety and low in production cost, diseases are relieved in time, and effective restorative treatment is carried out on cranial nerve injury diseases.

The invention discloses an electrode for neurochemical detection of a deep brain region and a preparation method thereof, and relates to the technical field of electrochemical analysis, and the key point of the technical scheme is that the electrode comprises carbon fibers, a fused quartz capillary tube and a glass capillary tube; the carbon fiber penetrates into the fused quartz capillary tube, and one end of the fused quartz capillary tube penetrates into the glass capillary tube. The low-damage implantable cranial nerve chemical electrode provided by the invention has the advantages of small implantation cross section, good biocompatibility and the like, greatly reduces the damage of the implanted electrode to brain tissues and possible inflammatory reactions, is beneficial to realizing long-term implantation, supports electrochemical analysis methods such as cyclic voltammetry, oxidation-reduction potential method and the like, and has good application prospects. In-situ high-sensitivity detection of neurochemical substances such as ascorbic acid and dopamine can be realized, and the method has a relatively good application value in the research field of various neurophysiology and pathology processes.