299 results about "Neurology" patented technology

The invention provides a neurology clinical nursing potential safety hazard analysis method and device, and relates to the technical field of neurology clinical nursing, and the method comprises the steps: inputting a risk feature matrix generated based on multi-source heterogeneous nursing data into a rule engine and graph neural network model, and outputting a preliminary screening risk event set; taking the primary screening risk event set and the risk feature matrix as input, and constructing a causal conduction map through a causal discovery algorithm; performing risk conduction quantitative integration on each risk event in the primarily screened risk event set based on a causal conduction map to generate a quantitative risk list; based on the dynamic risk priority number and the conduction path chain, reversely tracing to a root cause node along a directed conduction edge, and generating a targeted intervention strategy packet bound with the root cause node; the targeted intervention strategy package is pushed to the nursing responsible person terminal, the strategy execution effect and the risk evolution data are recorded, and a closed-loop disposal database is generated, so that the dynamics and the effectiveness of potential safety hazard analysis of clinical nursing of the neurology department are improved.

The invention discloses a neurology patient rehabilitation nursing method based on multi-modal data analysis, and relates to the technical field of medical health, and the method comprises the steps: extracting neural function features through a multi-modal data fusion algorithm, and carrying out the calculation through a weighted fusion and statistical analysis method, and obtaining a neuroplasticity index vector; combining the neuroplasticity index vector with the unified multi-modal feature representation, carrying out multi-modal abnormal mode recognition analysis, obtaining a rehabilitation risk early warning signal and a personalized intervention suggestion, and generating a personalized rehabilitation scheme; performing dynamic optimization and self-adaptive adjustment on the individualized rehabilitation scheme by using a feedback loop mechanism to generate an optimized individualized rehabilitation scheme; physiological signals in individualized rehabilitation training based on the optimized individualized rehabilitation scheme are collected in real time and preprocessed, and a standardized physiological response data sequence is generated. According to the invention, the scientificity, timeliness and individual adaptability of regulation and control are improved, so that nerve function remodeling is accelerated and the rehabilitation risk is reduced.

The invention relates to the technical field of intelligent medical multi-modal data analysis and nursing aid decision making, in particular to a neurology nursing risk dynamic early warning and intelligent decision support system. Comprising the steps that a data acquisition module acquires a physiological time sequence and nursing logs to obtain a multi-modal original data set; the feature extraction module performs nonlinear dynamic analysis on the physiological data to generate a state manifold vector, and performs semantic embedding on a log to generate an intervention state tensor containing spatio-temporal features; the causal reasoning module constructs a dynamic causal map, maps vectors and tensors as nodes, and adjusts transmission weights by using the tensors to suppress non-pathological fluctuations; the decision-making module calculates dynamic risks and difference values based on atlas anti-fact deduction, and generates graded early warning and an optimal nursing path; the feedback module updates the atlas parameters according to the processing result. According to the system, the problem of high-frequency false alarm caused by daily nursing actions of traditional monitoring equipment is effectively solved, the alarm fatigue of medical staff is relieved, and focusing on real critical events is ensured.

The present invention describes an artificial intelligence (AI) enabled electroencephalography (EEG) system that integrates Pathway Hierarchical Adaptive Referencing (PHAR) for localized signal detection, large language models (LLMs) for automated EEG reporting, and Internet of Medical Things (IoMT) connectivity for adaptive neuromodulation control. The system can also deliver transcranial electrical stimulation (tES) pulses and function as an electrical impedance tomography (EIT) system. PHAR employs a multi-layered multiplexer hierarchy and adaptive referencing topologies to optimize EEG signal acquisition and spatial resolution. LLM integration enables automated generation of human-readable EEG reports. IoMT connectivity allows closed-loop neuromodulation, where real-time EEG analysis guides the adjustment of stimulation parameters. The system can deliver tES pulses and perform EIT expands its functionality, allowing for targeted neuromodulation and impedance-based brain imaging. This integrated system revolutionizes EEG-based diagnostics, treatment, and research in neurology and neuroscience, offering a comprehensive and versatile tool for understanding and modulating brain function.

The invention relates to the technical field of medical data processing, in particular to a multifunctional neurology intelligent diagnosis system based on 5G and Internet of Things. The system comprises a remote neurology data transmission module used for obtaining neurology data through a 5G vehicle-mounted and indoor base station; the edge data processing module is used for performing edge fusion on the neurology data to obtain neurology fusion data, and performing feature extraction on the neurology fusion data by using a preset edge feature extraction model to obtain neurology feature data; the intelligent diagnosis reasoning module is used for performing feature reasoning on the neurology feature data by using a preset deep feature analysis model to obtain feature reasoning data; and the terminal network regulation and display module is used for carrying out broadband distribution on the feature reasoning data so as to carry out data transmission operation and data visualization operation. According to the method, efficient collaboration between the edge and the cloud can be realized, and an interpretable auxiliary service is provided.

The invention relates to the technical field of medical detection and monitoring, in particular to a neurology patient sleep disorder monitoring method, which comprises the following steps: S1, collecting and preprocessing body signals of a patient; s2, constructing a cross-modal association graph, and forming a heterogeneous graph structure with a time sequence weight and a modal label; s3, performing graph convolution and sparse attention operation on the cross-modal association graph, and executing node screening and edge weight updating; s4, time domain and frequency domain decomposition is carried out, and alignment is carried out based on time and frequency indexes; s5, performing segmentation and boundary calibration on the feature sequence, dividing sleep stages, and indexing and storing cross-modal fragments; s6, retrieving abnormal stage fragments, constructing abnormal feature sub-graphs and executing structure clustering operation; and S7, mapping the sleep disorder category labels and the cross-modal features to generate associated features and output results. According to the method, the cross-modal heterogeneous graph is constructed and the time-frequency features are fused, so that the recognition precision and the analysis depth of the sleep disorder of the patient in the neurology department are improved.

The utility model discloses a novel neurology department clinical post-stroke limb rehabilitation training auxiliary device in the technical field of stroke limb rehabilitation training, which comprises a fixing frame, universal wheels are respectively arranged on the periphery of the bottom of the fixing frame, two supporting frames are arranged on the top of the fixing frame, sliding blocks are sleeved on the outer sides of the supporting frames, and the sliding blocks are connected with the fixing frame. A fixing rod is installed between the two sliding blocks, the two fixing rods are convenient for a patient to hold, the patient is prevented from falling down and being secondarily hurt during walking rehabilitation training, then the sliding blocks are locked and fixed by using locking fasteners, so that the fixing rod is suitable for people with different heights to use, and the practicability is high. The problems that the human body is prone to inclining or falling down, the human body cannot be supported in an auxiliary mode, the height of an auxiliary device is single, the auxiliary height is inconvenient to adjust to adapt to people of different heights, and the stability and practicability of limb rehabilitation training are affected are solved.

The invention relates to the technical field of patient psychological nursing, in particular to a neurology patient psychological nursing analysis system and method based on an intelligent chip, and the method comprises the steps: analyzing the difference degree of the physiological characteristics of an anxiety patient before and after an operation based on preoperative physiological characteristic data and postoperative physiological characteristic data; based on the symptom reaction data and the operation data of the anxiety patient, analyzing the operation complexity of the anxiety patient; according to the physiological feature difference degree analysis result before and after the operation and the operation complexity degree analysis result, the psychological stress risk of the anxiety disorder patient is evaluated; according to the psychological stress risk assessment result, patient psychological nursing early warning is given to medical staff, by accurately quantifying the psychological stress risk, the high-risk patient can be recognized in the early stage, postoperative acute anxiety, delirium and other complications are avoided, and the operation safety and rehabilitation quality are remarkably improved.

The invention provides a neurology patient remote intelligent monitoring and nursing early warning device and method based on the Internet of Things, the device comprises a hardware part and a software part, the hardware part comprises a sensor module, a wireless communication module, an intelligent terminal device and a wearable device; the sensor module comprises a high-precision heart rate sensor, a blood pressure sensor, a blood oxygen saturation sensor, a brain wave sensor and an acceleration sensor and is used for collecting vital signs and behavior data of a patient in real time; the wireless communication module supports wireless communication technologies such as ZigBee, LoRa and 5G, and ensures real-time transmission of data. By arranging a hardware part, a software part, a sensor module, a wireless communication module, an intelligent terminal device and a wearable device, the problems that an existing traditional monitoring mode depends on field observation or regular inspection of medical staff, efficiency is low, and time and labor are wasted are solved. And important information is easily missed due to insufficient resources of medical staff or limitation of the activity range of the patient.

The application discloses a puncture assisting device for interventional therapy and belongs to the technical field of neurology. The puncture assisting device comprises a hoop, a cap body in rotational cooperation with the hoop, a first locking member for fixing the hoop and the cap body, the cap body is semispherical, a first opening slot is formed in the cap body along the generatrix of the cap body, and a puncture assembly is slidably arranged in the first opening slot along the length direction of the first opening slot. The puncture assembly comprises a puncture needle, a first ball and a second ball fixed to the outer side of the puncture needle, an arc-shaped slot matched with the second ball is formed in the side wall of the first opening slot, the first ball is matched with a ball sleeve, the ball sleeve is fixedly connected with a guide rod, a sliding support is slidably arranged on the cap body, a guide hole matched with the guide rod is formed in the sliding support, and the guide rod and the sliding support are fixed through a second locking member. The device can position the puncture needle before puncture, is stable in positioning and convenient to adjust.

The utility model discloses a neurology department examination lifting device, relates to medical instrument technical field, including support frame, the lower side of support frame close to left and right side position is fixedly connected with two moving platform that left and right symmetrical distribution, the inner side of support frame upper wall is rotatingly connected with lifting mechanism, and the lower side of the lifting mechanism is fixedly connected with two fixing mechanisms which are symmetrically distributed left and right. According to the lifting device for examination in the neurology department, the winding disc is driven by the first motor to rotate, so that the first traction rope pulls the fixing mechanism to move up and down, the second winding disc is driven by the third motor to rotate, and the rotating plate is inclined to adapt to the trend of limbs of a patient, so that the limbs of the patient are lifted and explored; the first traction rope and the second traction rope are adopted, so that the problem that parts are seriously abraded due to frequent rotation of a threaded rod when the threaded rod is adopted for lifting is solved.

The utility model relates to the technical field of neurology intensive care, in particular to an infusion device for neurology intensive care, which comprises a cushion, an adjusting device and a backrest, the cushion is provided with armrests on two sides, symmetrical connecting plates are arranged at two ends of the rear side wall of the cushion, a rotating rod is arranged between the two connecting plates, and the rotating rod is connected with the adjusting device. Wherein a first motor is arranged on the outer side wall of one connecting plate, a supporting plate is arranged on one side wall of the cushion, a fixing rod is arranged on the upper side wall of the supporting plate, the adjusting device comprises an adjusting box, a sliding rod, a sliding block and a second motor, a groove is formed in the adjusting box, an opening is formed in the front end of the groove, and the sliding rod is arranged in the groove. The sliding block is attached to the inner side wall of the groove and is in sliding connection with the inner side wall of the groove, a connecting rod is arranged at the front end of the sliding block, the connecting rod penetrates through the opening and is in sliding connection with the opening, and a hook is arranged at the lower end of the connecting rod, so that the infusion requirements of different patients are met, and the comfort degree is further improved.

The utility model discloses a lifting device for neurology examination, which comprises a bottom frame, a trunk bracket and a leg bracket, one end of the bottom frame is fixedly connected with a first supporting leg, and the trunk bracket is fixedly arranged on the top surface of the first supporting leg. The utility model has the beneficial effects that the leg bracket is adopted, the top surface of the leg bracket is flush with the trunk bracket when the leg bracket is in an initial state, a patient can directly lie on the top surface of the trunk bracket, legs can be naturally placed in leg grooves in the top surface of the leg bracket, medical personnel can start an electric cylinder to extend, and the electric cylinder extends to push a sliding block to move rightwards; in the same way, the electric cylinder is shortened to pull the sliding block to move leftwards and drive the leg bracket to rotate downwards along the hinge to complete downward lifting of the legs, the adjusting use range is wide, the trouble that medical workers move the legs manually is omitted, the use convenience and the working efficiency are improved, and the medical workers can use the medical workers conveniently. And the structure is simpler, and the manufacturing cost and the use cost are lower.

The invention discloses a neurology interventional operation risk assessment method based on artificial intelligence, and belongs to the technical field of medical information, and the method specifically comprises the steps: obtaining a cerebrovascular multi-phase image and vascular wall biomechanical data of a target patient; reconstructing a three-dimensional blood vessel model based on the image, extracting an area change curve of each segment of lumen, and constructing a blood loss harmonic network according to transmission delay and morphological difference between the curves; distributing fluid-solid coupling simulation parameters containing an individualized vascular wall compliance curve for each vascular segment based on biomechanical data; planning an instrument path, and simulating interaction of an instrument and a blood vessel wall to generate a local pressure pulse sequence; inputting the sequence into a blood flow resonance loss network, and calculating blood flow resonance intensity and phase shift cumulant caused at a specific network node; and recognizing a high-risk blood vessel region with the delayed blood flow redistribution disorder according to the high-risk blood vessel region, and outputting a structured list. According to the invention, quantitative evaluation and early warning of networked dynamic risks caused by interventional operations are realized.

FIELD: neurology; psychiatry.SUBSTANCE: used as a non-pharmacological therapy for autism spectrum disorders in children. The method includes a set of procedures: interval hypoxic-hyperoxic training (HHT), hyperbaric oxygenation and ozone therapy. HHT consists of alternating inhalations of a hypoxic mixture with an oxygen content of 9 to 16 vol.% and a hyperoxic mixture with an oxygen content of 32 to 40 vol.% for a total duration of 45-50 minutes under the control of cardiovascular system parameters. Hyperbaric oxygenation is performed in a pressure chamber under a pressure of 1.3 atmospheres of 100% oxygen mixture, flow of 10 liters per minute, for 45 minutes using a mask. Ozone therapy is performed by rectal insufflation with an ozone-oxygen mixture with an ozone concentration of 85 μg / ml in a volume of 20–30 ml or by intravenous administration of a physiological solution enriched with ozone with an ozone concentration of 85 μg / ml at a rate of 200 ml per 100 ml of physiological solution. The procedures are carried out daily for 12 days.EFFECT: method is effective and has a positive impact on the patient’s condition.1 cl, 1 dwg, 3 ex

The invention relates to the technical field of medical instruments, and particularly discloses a neurology facial paralysis physiotherapy instrument, which comprises a telescopic tube and a main body, and further comprises a telescopic mechanism arranged in the telescopic tube and used for adjusting the position of the device according to the facial paralysis range of a patient; the moving mechanism is arranged on one side of the telescopic pipe, and the moving mechanism adjusts the massage range according to the facial paralysis range of a patient. Through the telescopic mechanism, when currents in different directions are introduced into a first electromagnet and a second electromagnet, the first electromagnet and the second electromagnet generate corresponding anti-repulsive force to drive the telescopic pipe to stretch out and draw back; the laser distance measuring sensor monitors the moving distance of the second electromagnet in real time and feeds data back to the control device, the control device adjusts the rotating speed of the fixed motor according to the moving distance of the second electromagnet, and it is ensured that the physiotherapy device can massage the patient at the proper position and adjust the massage strength.

Self-administered tests for a broad range of visual functions use angular indications on a peripheral structure selected by the test subject to indicate the position of a visible feature of a stimulus. The tests are performed on a computer and use artificial intelligence to adapt and personalize the range of difficulty and type of test to the subject's vision issues. The tests can be used for diagnosis in the fields of optometry, ophthalmology, neurology, psychology, and psychiatry. The technology also can be used to determine a subject's optical prescription in combination with the use of ophthalmic lenses that are provided to the test subject.

The invention discloses a cerebrospinal fluid sampling device for the neurology department, and belongs to the technical field of medical instruments. The device comprises a shell, a puncture needle assembly, a guide mechanism and a warning assembly. The puncture needle tube is connected to the front end of the floating needle base, and the rear end of the floating needle base is connected with a transmission guide rod. The transmission guide rod is fixedly connected to the rear end of the floating needle seat and penetrates through the limiting guide support to be connected with the limiting guide support in a sliding mode, the reset spring is installed on the transmission guide rod, and the microswitch is installed on an installation plate in the shell and located on a moving path of the transmission guide rod. When in use, the floating needle seat is pushed backwards by the resistance of the yellow ligament, so that the microswitch is triggered, the circuit is closed, and the indicating lamp is lightened. Once the resistance of the yellow ligament is reduced, the spring resets, and the indicating lamp is turned off. Therefore, visual feedback of the puncture position is provided. Therefore, the probability of inaccurate subjective judgment and possible nerve injury in a traditional puncture operation is reduced, and the method has the advantages of being stable in operation, high in safety and the like.

The invention relates to the technical field of medical instrument disinfection, and discloses a portable tool disinfection device for neurology department, the portable tool disinfection device comprises a box body, both sides of the interior of the box body are provided with mounting cavities enclosed by a plurality of partition plates, and the interior of the box body is provided with a disinfection mechanism between the two mounting cavities. The disinfection mechanism comprises a disinfection unit arranged on the upper portion in the box body and a feeding unit arranged on the lower portion of one side of the disinfection unit. Spraying, drying and sterilizing structures required by disinfection of medical instruments are integrally installed in one box body, the structure is compact, the size is small, carrying is convenient, meanwhile, the feeding mechanism is arranged below the disinfection mechanism, the feeding mechanism can convey the instruments in a reciprocating mode, the medical instruments can be overturned by 180 degrees during conveying, and in the overturning process, the medical instruments can be disinfected through the disinfection mechanism. Water stains left on the surfaces of the instruments can be shaken off, meanwhile, the bottom faces of the instruments which are not washed originally face upwards after the medical instruments are turned over, then washing is conducted again, and it is guaranteed that the medical instruments are thoroughly killed.

1. The name of the design product: microwave therapeutic instrument for neurology. 2. The use of the design product: used for the rehabilitation treatment of the body function of the patient in neurology. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

The invention provides an intelligent remote interaction method and platform for the neurology department. The method comprises the following steps: responding to a multi-terminal inquiry mode corresponding to a patient terminal, and establishing a multi-terminal inquiry interface based on the patient terminal and a corresponding preset number of doctor terminals with idle attributes; responding to online inquiry of any doctor end based on the multi-end inquiry interface, converting an inquiry state corresponding to the doctor end from a shielding state to an access state, and performing data sharing corresponding to each doctor end on inquiry data determined based on the online inquiry; and responding to the completion of the online inquiry, performing information comparison on the obtained prescription information corresponding to each doctor terminal, and determining medication information corresponding to the patient terminal based on a comparison result. The inquiry efficiency is at least improved.

The utility model belongs to the technical field of rehabilitation training, and particularly relates to a rehabilitation training instrument for the neurology department. The device comprises a horizontally-arranged bottom plate, a seat is installed on the top of the bottom plate, a fixing plate is obliquely installed on the right side of the seat through a supporting rod, a supporting plate is vertically fixed to the right side of the fixing plate, a sliding groove is formed in the fixing plate, a toothed plate is independently installed in the sliding groove in a penetrating mode, and fixing rods are fixed to the front side and the rear side of the upper end of the toothed plate; a fixing block is vertically fixed to the upper end of the supporting plate, freely-rotating turntables are installed on the front side and the rear side of the fixing block, a linkage assembly which drives the turntables to rotate through movement of the toothed plate is arranged in the supporting plate, and an adjusting assembly used for adjusting the training intensity is arranged on the side wall of the fixing block. According to the rehabilitation training device, under the action of the adjusting assembly, the training intensity of a patient is adjusted, in the training process, the patient can drive the rotating disc to rotate through the palm, four limbs of the patient are trained in a linkage mode, the training effect is further improved, and the coordination and sports skills of the patient are enhanced.

The application discloses a kind of high-efficiency intelligent air purification devices for neurology ward, specifically related to air purification field, including integrated shell, integrated shell is sealed to its top and is provided with sealing cover, integrated shell is provided with air inlet and air outlet, adjustment mechanism is provided at air outlet and adjusts the area of air outlet;The application is through the comprehensive performance of multiple structures collaborative promotion, adapt to the demand of neurology ward: multilayer filter screen board is superimposed and reserved controllable gap, combined with elastic connection and central limit, realize the self-adapting micro swing of wind speed drive, reach the secondary interception and self-cleaning anti-blocking of small particles by coupling effect, improve purification precision and prolong filter screen life;Electric push rod drives filter screen frame switching arrangement state, through gear and rack linkage air outlet opening degree adjustment, accurately match the air volume and air pressure demand of high and low pollution working condition, give consideration to purification efficiency and mute effect.

The invention provides a prompting method for neurology radiation dose risk analysis and related equipment, and is applied to the technical field of data processing. The method comprises the following steps: acquiring a single-energy-level CT image in a preset time period and an initial radiation dose detection model matched with the single-energy-level CT image; obtaining a training sample set; processing the training sample set based on a preset processing rule to generate a training set and a test set; training the initial radiation dose detection model based on the training set and the test set to generate a target radiation dose detection model; performing slicing processing on the single-energy-level CT image based on the target radiation dose detection model to generate a plurality of material parameter values corresponding to single-energy-level CT slice images; processing the material parameter values based on a target radiation dose detection model, and generating material component information corresponding to a plurality of single-energy-level CT slice images; and processing the material component information based on the target radiation dose detection model, and generating a CT radiation dose corresponding to the single-energy-level CT slice image.

The invention provides a polymer fluorescent nano-film, a template-free self-assembly preparation method thereof and application of a nerve poison sensing detection agent, and the polymer fluorescent nano-film is prepared on a gas-liquid interface through dynamic acylhydrazone bond condensation reaction by taking a column [5] arene hydrazide derivative and tetraformyl tetraphenylethylene as film building monomers. The polymer fluorescent nano-film is prepared through template-free self-assembly, the preparation process is simple, the conditions are mild, and the accurate regulation and control of the film thickness can be realized by changing the concentration of the precursor solution or the volume of the solution per unit area. The prepared film has a flat, smooth and defect-free surface, has excellent mechanical properties, shows good toughness and puncture resistance, shows excellent sensing performance on a nerve toxic agent simulant diethyl chlorophosphate, has excellent detection capability on a real nerve toxic agent sarin under the assistance of a solvent, and can be widely applied to the field of neurology and neurology, such as neurology, neurology, neurology, neurology, neurology, neurology, neurology, neurology, neurology, neurology, neurology and neurology. The method is expected to play an important role in the fields of public place safety monitoring and the like, and has a wide application prospect.

The invention provides a neurology data analysis method and device and a medium, and relates to a data analysis technology. A database is constructed by combining data of a plurality of cerebral palsy patients, and medical images such as CT images and symptom description data of the patients are collected; therefore, the pathological part of the current patient can be predicted in combination with the data in the database and the comparison result of the image data acquired by the acquisition device for the current patient, and the display image is generated to display the predicted illness state for the patient, so that doctors can be assisted in diagnosis, and more suitable diagnosis and treatment suggestions are provided for the patient.

This invention relates to the field of nursing care products, and more particularly to a nursing pillow for neurological data acquisition, comprising a pillow, a central pillow pad, a pad block, and a support pad; the pillow consists of a support block and two side pillow pads; a central pillow pad supporting the patient's head is connected to the support block; the central pillow pad is located between the two side pillow pads; each side pillow pad has a pad block; and each pad block has a support pad installed. This invention stores the EEG cable bundle within the cable groove of the support pad, while leaving a certain length allowance to allow the patient's head to move within a limited range, avoiding the problem of tangled EEG cable bundles and the patient pulling on the cable bundles during movement. By using the two support pads to shield the patient's head, when the patient has an attack, if their hands approach their head, they will be blocked by the support pads, preventing them from touching the EEG electrodes and cable bundles, thus avoiding interference with the use of the EEG.

The invention belongs to the technical field of medical nursing auxiliary devices, and particularly relates to a neurology nursing movable support which comprises a movable base, a leg supporting and gravity center sensing mechanism, a supporting force adjusting mechanism and an anti-toppling mechanism. The gravity center of the patient is sensed in real time; when the leg supporting and gravity center sensing mechanism senses that the gravity center of the patient shifts, the supporting force adjusting mechanism is automatically driven to work, and the supporting force of the patient is adjusted in a self-adaptive mode; the anti-toppling mechanism has a first state for normal walking and a second state for lateral stretching during toppling prevention, when the supporting force adjusting mechanism adjusts the supporting force to a certain degree, the anti-toppling mechanism is automatically triggered to be switched from the first state to the second state, and the problems that only a patient can be fixed and supported, and the patient cannot be supported are solved. The supporting force cannot be automatically adjusted according to the posture of the patient, and meanwhile, the patient is easily injured again after falling down.

1. Name of the Design Product: Therapeutic Apparatus (Neurology). 2. Use of the Design Product: This design product is used for the rehabilitation treatment of patients' physical functions in neurology. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

The utility model relates to the technical field of neurology, in particular to a nerve sample preservation device which comprises a preservation box, a box cover is hinged to the upper end of the preservation box, the box cover and the preservation box are fixedly connected through a buckle, a containing disc is arranged on the lower side in the preservation box, and a circular groove is formed in the middle of the upper end of the containing disc. A plurality of placing grooves are formed in the positions, located on the outer side of the circular groove, of the upper end of the placing disc, clamping mechanisms are arranged among the multiple placing grooves, a cavity is formed in the bottom of the storage box, a circular hole is formed in the center of the top of the cavity, and a buffering mechanism is arranged between the cavity and the placing disc through the circular hole; the screw is vertically and rotatably arranged at the center of the bottom of the circular groove through a rolling bearing, and the wall of the screw is in threaded connection with an internal thread ring. According to the utility model, a plurality of sample containers can be quickly clamped, so that the taking efficiency is improved; bumping in the transportation process can be buffered by the buffering structure in multiple directions, the buffering effect is excellent, and foam generated by bumping of samples is reduced.