407 results about "Neurology speciality" patented technology

The invention discloses a neurology nursing potential safety hazard monitoring system and method, and relates to the technical field of medical information safety monitoring, and the system comprises a first collection processing unit which is used for collecting monitoring data of a target patient, inputting the monitoring data into a time sequence deep network for processing, and obtaining risk feature data; the second collecting and processing unit is used for collecting physiological state data of the target patient, constructing a risk assessment rule base based on a medical knowledge graph to analyze the physiological state data, and generating risk probability data; and the risk early warning unit is used for inputting the risk feature data and the risk probability data into a Bayesian fusion network, generating risk early warning information and sending the risk early warning information to the medical care terminal. According to the invention, collaborative analysis of multi-source information is realized through the Bayesian fusion network, the problem of low early warning accuracy of a traditional single monitoring method is solved, and the reliability of potential safety hazard monitoring is improved.

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 an image auxiliary data processing method and system suitable for the neurology department. The method comprises the following steps: acquiring multi-temporal neurology image data and clinical data to generate a standardized spatio-temporal data set; establishing an incidence matrix of lesion areas and symptoms by extracting dynamic features of the standardized spatio-temporal data set; inputting the matrix into a prediction model to obtain a lesion diffusion direction and symptom risk prediction result, visually displaying prediction information through a dynamic indication diagram, and performing closed-loop verification and model optimization in combination with clinical actual data to realize dynamic tracking of a neurological lesion evolution process and intelligent prediction of a symptom development trend. The continuity of illness state analysis and the reliability of a prediction result are remarkably improved, sequential decision support is provided for clinical diagnosis and treatment, and meanwhile the interpretability of a pathological mechanism is enhanced through visual interaction.

The invention discloses a neurology patient body index monitoring system, and particularly relates to the technical field of body monitoring. The environment interaction and adaptation module is used for monitoring and adjusting the surrounding environment of a patient to optimize the health state of the nervous system; the emotion and psychological state monitoring module is used for evaluating the emotion and psychological state of the patient in real time by utilizing an advanced sensing technology and data analysis; and the cognitive function and learning support module is used for monitoring and promoting the cognitive function of the patient to improve neuroplasticity and cognitive ability through interaction and training. By integrating the environment interaction and adaptation module, the emotion and psychological state monitoring module, the cognitive function and learning support module and the comprehensive health ecosystem module, intelligent adjustment of the surrounding environment of a patient, real-time monitoring of the emotion and psychological state, improvement of the cognitive function and comprehensive integration of health resources are achieved; the system optimizes the environmental comfort through intelligent illumination, noise monitoring and air quality adjustment.

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 invention discloses an off-bed monitoring alarm method and system based on infrared rays and computing equipment. The method comprises the steps that at least one infrared camera is installed above each sickbed in a neurology ward; extracting a bed fixed edge contour in infrared thermal imaging according to a Hough transform algorithm; separating a difference area between a patient and a background from infrared thermal imaging, and performing edge detection on the difference area to obtain a preliminary contour of the patient as an initial position of a Snake model; internal energy and external energy of an energy function in the Snake model are minimized; when the shape of the Snake model does not change any more or reaches a preset number of iterations, taking a convergent model contour as a patient dynamic contour; calculating the relative position of the center of the patient dynamic contour relative to the bed fixed edge contour; when the relative position moves out of the boundary of the preset bed area, alarm information is sent to a central system. According to the method, the contour of the patient is iteratively calculated through the Snake model, and the safety and efficiency of night monitoring of the patient are further improved.

The invention discloses a neurology department clinical nursing potential safety hazard analysis method and device, and relates to the technical field of clinical nursing potential safety hazard analys.The method comprises the steps that physiological data and behavior data of a patient are collected, and multi-source data are preprocessed through weighted Kalman filtering; performing multi-dimensional fusion on the processed data, calculating a comprehensive health score by adopting a weighted average method, and evaluating the potential safety hazard of the patient in combination with a convolutional neural network; and based on the comprehensive health score, generating a personalized nursing scheme, and providing nursing decision support for medical staff. According to the clinical nursing potential safety hazard analysis method for the neurology department, the physiological data and the behavior data are combined, multi-dimensional data fusion is carried out through weighted Kalman filtering and the convolutional neural network, the accuracy of patient health assessment is improved, noise and errors are reduced, and the consistency and reliability of the data are ensured.

The utility model relates to the field of medical auxiliary devices, in particular to a cognitive function rehabilitation training device for the neurology department, which comprises a mounting cabinet, one hundred groups of pressing assemblies, a display screen, an expression lamp assembly, a visual detection sensor, a microphone, a card box assembly and an electric control unit, the pressing assembly is provided with number buttons and an indicating lamp, and each number button is marked with a number selected from 0 to 99; the expression lamp assembly comprises a pleasant expression lamp and a depression expression lamp; the card box assembly is provided with a card temporary storage box and a plurality of card storage boxes; the visual detection sensor can collect digital information on the extracted digital cards. According to the utility model, the cognitive function of a patient is trained by pressing with fingers for many times, judging with the brain, speaking with the mouth and the like, and the interestingness is enhanced by feeding back whether the expression of the expression lamp assembly is accepted or not, so that the patient is pleasant to accept training to promote the rehabilitation of cognitive impairment in multiple aspects of the patient.

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 is suitable for the technical field of neurology nursing devices, and provides a lower limb position placing device for neurology nursing and a using method thereof, the lower limb position placing device comprises a base, a bearing seat, a fixing plate, a supporting mechanism and a limb bearing mechanism; and the bearing seat is arranged above the base. According to the scheme, the two ends of the bearing seat can be supported at different heights by adjusting the supporting mechanism, the overall supporting angle of the bearing seat and the limb bearing mechanism is adjusted, the lower limbs of a patient can be placed at good limb positions, a self-gravity clamping and limiting structure is formed through the limb bearing mechanism, and when the lower limbs of the patient are placed, the lower limbs of the patient can be clamped and limited by the self-gravity clamping and limiting structure. The guide rod can be driven to slide through the gravity of the lower limbs, then the driven rod is driven to be linked through the transverse plate, the limb supporting plate is synchronously linked through the driven rod and abuts against the lower limbs of the patient, the effect of clamping and limiting the lower limbs of the patient is achieved, the situation that the lower limbs of the patient need to be bound and fixed through a binding belt is avoided, operation is easy, and the labor intensity is greatly reduced.

This application relates to the technical field of electroencephalogram examination, and provides a fixed headgear for neurology electroencephalogram examination and a method thereof. The fixed headgear for neurology electroencephalogram examination includes: a wearing part, which is provided with a plurality of moving grooves and a plurality of positioning holes, and each positioning hole corresponds to at least one moving groove; a plurality of fixing parts, which are movably arranged on the wearing part. The fixing part includes an installation mechanism, a rotating mechanism and a fixing mechanism. The installation mechanism is movably arranged on the wearing part along the moving groove, the rotating mechanism is rotatably arranged on the installation mechanism, and the fixing mechanism is arranged on the rotating mechanism. The fixed headgear for neurology electroencephalogram examination and the method thereof provided by this application can solve the technical problem in the related art that it is time-consuming and laborious to manually adjust the electrode position multiple times by people to a position where good-quality brain wave data signals can be obtained.

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 invention discloses a neurology index prediction system and method. The method comprises the following steps: firstly, collecting case data of a neurology patient; processing the collected case data to form test data; meanwhile, constructing a neurology index prediction model; inputting test data into the neurology index prediction model for training; and finally, inputting the case data which does not participate in training into the trained neurology index prediction model, and generating a patient neurology disease prediction result from the case data which does not participate in training through the neurology index prediction model. The prediction comprehensiveness is improved through multi-modal data fusion, the detection sensitivity of early functional abnormalities is remarkably improved, the prediction model is more accurate and stable through high-dimensional nonlinear correlation mining and model generalization optimization, non-invasive low cost and clinical interpretability can be considered, invasive detection or high-cost image equipment is not needed, and the method is suitable for large-scale popularization and application. The method is suitable for large-scale screening of basic medical institutions.

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 discloses a clinical assistor for neurology department, which relates to the technical field of clinical auxiliary instruments, and comprises a bed board, the front part and the rear part of the lower end of the bed board are movably connected with a control adjusting component, and the left part of the bed board is movably connected with an auxiliary getting-up component. According to the clinical assist device for the neurology department, a patient lying flat on the bed board can be bound by controlling the adjusting assembly, the patient of the neurology department is always restless due to nerve problems, and the hard cloth and the hook-and-loop fasteners can control and bind the patients of different body types. Meanwhile, the two movable frames can movably adjust the position of the hard cloth, so that the hard cloth can be suitable for patients with different heights, and meanwhile, the hard cloth can be moved to the right part of the bed board when not in use, so that the situation that the patient gets in and out of the bed due to space occupation can be avoided. The lying patient can be helped to get up through the auxiliary getting-up assembly, the auxiliary plate which is turned rightwards provides supporting force for the back of the patient, and the patient can be helped to sit up and get out of bed.

The utility model discloses a lifting device for neurology examination, and relates to the technical field of medicine. The device comprises a bottom plate, the top of the bottom plate is fixedly connected with a supporting plate, the side face of the supporting plate is provided with a lifting device, the lifting device comprises a sliding groove, the sliding groove is formed in the side face of the supporting plate, the inner wall of the sliding groove is slidably connected with a sliding plate, the top of the bottom plate is fixedly connected with a vertical plate, and the vertical plate is fixedly connected with the supporting plate. The side face of the vertical plate is fixedly connected with a stepping motor. According to the utility model, components such as the lifting pad, the stepping motor, the circular plate, the sliding plate and the like in the lifting equipment are matched with one another, so that the lifting height of the lifting pad can be longitudinally adjusted according to the requirements during examination, and the height of a patient can be adjusted according to the height of the patient to ensure that the patient is in the most comfortable posture in the examination process; and a doctor can conveniently carry out more accurate examination, and the examination accuracy and effectiveness are improved.

The lower limb recovery training device for the neurology department comprises a base, a foot placing main body, a rotating piece and a first stretching piece, the foot placing main body and the base are arranged in a spaced mode, and the foot placing main body comprises a heel placing part and a sole placing part elastically connected to the heel placing part; the heel placing part is provided with a first bearing surface for placing a heel; the rotating part is connected to the heel placing part and rotatably connected to the base, a rotating axis between the rotating part and the base and the first bearing surface are arranged at an interval, and the rotating part is configured to enable the rotating axis to be aligned with an ankle joint of a foot when the foot is placed in the foot placing main body; the first stretching piece is connected to the sole placing part and extends out of one end, far away from the heel placing part, of the sole placing part; the first stretching part is configured to drive the foot placing body to rotate around the rotating axis of the rotating part from the sole placing part, and the sole placing part elastically deforms relative to the heel placing part.

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 hemiplegia rehabilitation exercise equipment for the neurology department comprises a bottom plate and further comprises a fixing plate fixedly connected to one side of the bottom plate, a seat fixedly connected to the other side of the top of the bottom plate and stabilizing assemblies evenly and fixedly connected to the bottom of the fixing plate, the stabilizing assemblies are distributed in a rectangular shape, and one side of the fixing plate is slidably connected with an auxiliary assembly; the utility model belongs to the technical field of medical equipment, and particularly relates to hemiplegia rehabilitation exercise equipment for the neurology department, a placement seat is driven to move through an auxiliary assembly, the feet of a patient can be conveniently driven to move, and auxiliary exercises of different distances can be conveniently carried out on the patient according to the use requirements of the patient; and the bottom plate is stably placed through the stabilizing assembly, so that shaking during use is avoided, and the use stability of the patient is 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 utility model discloses a perception examination mechanism for neurology, which relates to the technical field of examination equipment, and comprises a shell, a sliding chute is arranged on one side of the shell, an adjusting structure is arranged on the upper part in the shell, a perception examination structure is arranged on the lower part of the shell, and the sliding chute is arranged in the sliding chute. A connecting assembly is installed between the adjusting structure and the perception checking structure. The percussion hammer and the examination needle can be used for examining a patient by replacing the perception examination assembly, when the percussion hammer is used, after one end of the hammer body is attached to the skin of the patient, the rotary table is rotated, the hammer body is lifted to different heights through the cooperation of the sliding plate and the rectangular plate, after the hook plate is pulled, the percussion hammer hammers the patient, and the higher the sliding plate is lifted, the higher the percussion hammer is. The larger the knocking force of the percussion hammer is, the higher the percussion force of the percussion hammer is, the rising height of the percussion hammer each time can be recorded through the scale marks, so that the perceptual condition of a patient is recorded, and when the tactile needle is replaced, the insertion depth of the tactile needle is recorded according to the scale marks, and meanwhile the perceptual reaction of the patient when the tactile needle is inserted into different depths is recorded.

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.

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.

The present invention relates to the field of medical nursing technology, and in particular to an analysis system based on a data model in the field of neurology nursing. The system includes a neurology nursing behavior feature analysis module, a neurology nursing risk assessment module, a nursing demand and feature change law analysis module, and a neurology nursing decision support module. It can obtain neurology patient behavior dimension data and neurology nursing record dimension data to perform condition nursing behavior feature analysis and neurology nursing risk assessment calculation to obtain a neurology condition nursing risk assessment value; obtain neurology patient nursing needs and perform feature change law mining and analysis, and at the same time perform nursing decision support analysis on the corresponding neurology patient nursing process, generate a neurology patient nursing decision support recommendation plan, and execute corresponding neurology patient nursing decision intervention measures. The present invention can significantly improve nursing efficiency.

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.