31 results about "Spinal disease" patented technology

The embodiment of the invention discloses a spinal disease recognition system based on relation perception and condition classification. According to one specific embodiment, the system comprises a data processing server, a feature extraction server, a disease recognition server, a report generation server and a user interaction terminal, and the data processing server is used for carrying out preset standardization processing on data of patients with spinal diseases; the feature extraction server is used for performing feature extraction and segmentation on the standard image data; the disease recognition server is used for performing spinal disease recognition to obtain a spinal disease recognition result; the report generation server is used for carrying out multi-modal fusion and generating a spinal disease structured recognition report; and the user interaction terminal is used for displaying the image and the report and controlling at least one of the robot and the chemical allocation equipment to perform preset operation according to the electric signal. According to the embodiment, the display waiting time of the system is shortened, and the redundant calculation cycle is reduced.

The invention relates to a spinal degenerative disease grading early warning and rehabilitation management system and method, and belongs to the technical field of medical equipment. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a data processing module, an evaluation module and a rehabilitation management module. The first-stage detection module is used for acquiring foot pressure distribution data of a patient; the secondary detection module collects electromyographic signal data of muscles around the spine of the patient; the third-stage detection module is used for collecting vertebral bone mineral density data of the patient. The data processing module is used for preprocessing and analyzing the collected data; the evaluation module is used for carrying out grading evaluation on the spinal degenerative lesion; and the rehabilitation management module formulates a personalized rehabilitation scheme according to the evaluation result. The system adopts a logic mechanism of hierarchical detection and hierarchical intervention, automatically adjusts intervention measures according to different evaluation indexes, and realizes accurate rehabilitation management. The risk of spinal degenerative diseases is found in an early stage, a targeted rehabilitation scheme is provided, and spinal diseases are effectively prevented and managed.

1. The name of the design product: acupuncture pillow. 2. The use of the design product: acupuncture pillow for preventing and correcting cervical and lumbar spine diseases and having internal moxibustion function. 3. The design points of the design product: in shape. 4. The picture or photo best indicating the design points: perspective view.

The invention relates to the technical field of data processing, in particular to a spinal disease intelligent confirmation method, device and equipment, and the method comprises the steps: firstly constructing a multi-modal spatio-temporal data set fusing a static structure, a dynamic function and clinical data, and carrying out the standardization processing; the method comprises the steps that firstly, through a pre-trained HMC-VSPF heterogeneous modal collaborative awareness and centrum sequence conduction fusion network, quantitative prediction of symptom severity is achieved, the contribution degree of structural lesions and dysfunction to symptoms is quantified, finally, through unsupervised clustering fused with biomechanical constraints, intelligent typing of pathogenic modes is achieved, and the probability of pathopoiesis is lowered. And an individualized diagnosis and treatment data product is generated through three-level quality control. Through multi-modal data deep fusion, causal mechanism analysis and intelligent typing, the diagnosis and treatment accuracy and interpretability are improved, individualized precise diagnosis and treatment of spinal diseases are achieved, and a quantitative basis is provided for clinical decision making.

The application discloses a kind of spine sagittal plane shape intelligent classification method based on multiscale feature extraction, including image preprocessing and feature extraction, key feature screening, data balancing and optimization and random forest classification;The present application can realize the automatic, high-precision classification of adult spine-pelvic sagittal plane X-ray image, provide scientific decision support for clinical diagnosis of spinal disease, large-scale screening, personalized prevention and surgical plan, and through the multiscale feature depth representation of spinal morphology biomechanical characteristics, combined with rigorous feature screening and model optimization strategy, effectively overcome the problem of strong subjectivity and single feature of traditional method.

The invention provides a method and a device for establishing and applying a whole-spine morphological model based on a medical image, and relates to the technical field of medical images. The method comprises the following steps: acquiring morphological characteristics and medical image data of the whole spine of a patient, and constructing a whole spine three-dimensional morphological architecture; generating a full-spine morphological model based on the full-spine three-dimensional morphological architecture; obtaining a personalized correction demand of a patient, and generating morphological difference information based on the personalized correction demand; generating a morphological matching chain according to the morphological difference information and the whole spine morphological model; generating a personalized correction model of the patient according to the morphological matching chain; generating a resource allocation strategy of the patient based on the personalized correction model and the whole spine morphological model; wherein the resource allocation strategy is used for allocating three-dimensional modeling nodes and data processing resources for the personalized correction requirements. According to the method, the precise modeling and personalized correction of the whole spine can be realized, and the scientificity of spinal disease diagnosis and treatment and the resource utilization efficiency are improved.

The invention discloses a spine sagittal plane form intelligent classification method based on multi-scale feature extraction. The method comprises the steps of image preprocessing and feature extraction, key feature screening, data balance and optimization and random forest classification. According to the method, automatic and high-precision classification of spine-pelvis sagittal plane X-ray images of adults can be realized, scientific decision support is provided for clinical diagnosis, large-scale screening, personalized prevention and surgical plan formulation of spine diseases, and spine morphological biomechanical characteristics are deeply represented through multi-scale characteristics; through combination of rigorous feature screening and model optimization strategies, the problems that a traditional method is high in subjectivity and single in feature are effectively solved.

This application provides a method and system for controlling an orthopedic device, as well as the orthopedic device and storage medium, applicable to scenarios of intelligent control of medical devices and spinal biological analysis. The method includes: collecting current anatomical structure data, current biological pressure data, and current soft tissue lesion data of the target object's spine; extracting spinal disease features from the current anatomical structure data, current biological pressure data, and current soft tissue lesion data to obtain current spinal lesion features; constructing an orthopedic plan based on the current spinal lesion features and a preset spinal treatment plan to obtain a preliminary orthopedic plan; generating preliminary control instructions based on the preliminary orthopedic plan and preset control instructions for the orthopedic device; and controlling the orthopedic device according to the preliminary control instructions. This application embodiment can automate the control of the orthopedic device, improve the accuracy of orthopedic device control, and save manpower.

The present disclosure provides compositions and methods for treating and preventing localized nociception, inflammation, or morphological changes associated with joint disease or illness, back or spine conditions or disorders, and musculoskeletal diseases or dysfunction.

A compression wrap garment integrally knit with variable or uniform compression areas for quadruped support and post-surgical support. The variable compression may be graded or independently distributed in a continuous or non-continuous manner. The compression wrap garments and embodiments can be used alone or in concert with a central vest, of a quadruped to provide support, rest, surface guarding, and tension to animals suffering from degenerative, surface, or deep spinal diseases including or excluding extremity trauma. The compression wrap garments may be of fixed or adjustable sizes.

The present application relates to the technical field of spinal disease management, and specifically discloses a spinal degenerative disease management path method and system based on big data, which comprises the following steps: collecting multi-source heterogeneous data of spinal degenerative disease in different departments and preprocessing, obtaining a standard data set of multi-source heterogeneous data and extracting structural features, generating a standard structural representation of spinal degenerative disease, setting an adaptive screening mechanism, screening and classifying the standard data set of spinal degenerative disease in combination with the standard structural representation to obtain a classified data set, constructing a knowledge graph of spinal degenerative disease, integrating new patient feature data, constructing a time series monitoring network model for reasoning and prediction, obtaining a patient disease progression trend and a potential risk vector, generating a personalized management path based on the disease progression trend and the potential risk vector output by the time series monitoring network model, which is conducive to improving the accuracy of spinal degenerative disease diagnosis and treatment and providing an adaptive disease management path scheme.

Provided are a method and device for providing diagnostic information about spinal diseases using a natural language processing model related to spinal diseases. The method according to an embodiment includes receiving symptom information of a patient with spinal disease from the user terminal, wherein the symptom information of the patient with spinal disease includes a natural language sentence input by the user terminal; determining standardized information about the symptoms of the patient with spinal disease through a natural language processing model related to spinal diseases, based on the symptom information of the patient with spinal disease, wherein the spinal disease-related natural language processing model is a model trained to standardize symptom information of a patient with spinal disease based on chief complaints of a plurality of patients with spinal disease, wherein the standardized information about the symptoms of the patient with spinal disease includes standardized information on a body part where the symptom occurs, standardized information on a symptom type, and standardized information on symptom severity; determining diagnostic information about the patient with spinal disease based on the standardized information about the symptoms of the patient with spinal disease; and transmitting the diagnostic information about the patient with spinal disease to the user terminal.

The invention discloses a spine repairing bed and a control method, and relates to the technical field of medical rehabilitation equipment. The terahertz physiotherapy assembly realizes longitudinal reciprocating motion through the linear guide rail; the traction and swing assembly transmits the transverse swing and traction effect generated by the swing mechanism to the lower limb and / or shoulder fixing piece; the spine loosening and rolling device is provided with an adjustable rolling component; the vertebra pressing physiotherapy device comprises a telescopic pressure column and a detachable and replaceable pressing block with a concave contact surface. The physiotherapy control system performs closed-loop control on traction force, swing frequency and amplitude, rolling driving force and displacement and terahertz output power and moving speed based on multi-sensor data, constructs a safety index to realize cross-component safety interlocking, and performs automatic linkage to reduce multiple outputs or shutdown when monitoring parameters exceed a threshold value or a change rate exceeds a limit. According to the invention, integration, intellectualization and cooperative safety protection of various physical rehabilitation means are realized, and the system is suitable for systematic rehabilitation treatment of spinal diseases.

The invention discloses a spine health support mattress system based on displacement sensing and motion capture, comprising: a mattress body, the interior of which is provided with a support adjustment layer distributed along a corresponding area of a spine; the displacement sensing module comprises a plurality of linear displacement sensors which are arranged on the surface of the mattress body in the length direction of the mattress and correspond to the spine of the human body; the motion capture module comprises a plurality of inertial sensors and is used for collecting spine intervertebral angle data in real time; the data processing module is electrically connected with the displacement sensing module and the motion capturing module and is used for generating a support adjusting instruction; the support adjusting module is electrically connected with the data processing module, is arranged in the support adjusting layer and is used for adjusting the support hardness of the corresponding area of the mattress according to the support adjusting instruction. By monitoring the prone position spine form and the intervertebral angle in real time, the supporting performance of the mattress is dynamically optimized, personalized precise supporting is achieved, the natural physiological curvature of the spine is maintained, and spine diseases are prevented.

The application discloses an experimental animal spinal column specimen dissection instrument and a dissection method. The dissection instrument comprises a fixing device, a scanning device, a cutting device and a control device. The fixing device is used for fixing the experimental animal spinal column specimen. The scanning device is used for scanning the fixed experimental animal spinal column specimen and transmitting a scanning image to the control device. The cutting device cuts the experimental animal spinal column specimen according to a cutting instruction of the control device or manually. The dissection instrument of the application integrates the fixing and cutting functions, significantly improves the efficiency and precision of the experimental animal spinal column specimen dissection, reduces the error and labor intensity of manual operation, makes the dissection process more consistent and reliable, and has high flexibility and adaptability, so that the dissection instrument can meet the dissection requirements of spinal column specimens with different sizes and curved shapes, and provide more reliable dissection samples and experimental data support for the fields of spinal column disease research, spinal cord injury repair and artificial vertebral body / intervertebral disc implant research and development.

The utility model discloses a medical mattress for preventing spine pressure sores, which comprises a plurality of first air bags and a plurality of second air bags, the plurality of first air bags are mutually parallel and mutually communicated, the plurality of first air bags are spliced to form a mattress, a groove is formed in the middle of the mattress, the plurality of second air bags are arranged in the groove, and the first air bags and the second air bags are mutually communicated. The second air bags are communicated with one another, one first air bag is provided with a first air inlet, and one second air bag is provided with a second air inlet. The spine fixing device has the advantages that when the second air bag is not inflated or is inflated with a small amount of air, the second air bag sinks and is located in the groove, the stress condition of the spine can be adjusted, spine pressure sores can be prevented, and spine patients or rickets patients can lie down conveniently.

The invention discloses a getting-up assistor for patients with spinal diseases in magnetic resonance examination and a using method, and belongs to the technical field of getting-up assistors. The getting-up assistor comprises a vertical rod support, a pedal frame, two supporting frames and a telescopic assembly, and the end face of the pedal frame is fixedly connected with the two supporting frames; the top of the pedal frame is fixedly connected with the bottoms of the two telescopic assemblies, the tops of the telescopic assemblies are fixedly connected with the bottom of the vertical rod support, the vertical rod support is connected with a winding assembly and a self-locking assembly, and a rope is arranged on the winding assembly. The auxiliary device is simple and clear in operation process, and the technical problem that in the prior art, an auxiliary device for helping a spinal disease patient get up during magnetic resonance examination does not exist can be solved.

The present invention relates to a retractor for spinal surgery, wherein the retractor is intended to secure and maintain a surgery hole during minimally invasive surgery (MIS) for spinal diseases. The retractor is characterized by comprising: a main body fastened to a surgery hole to maintain the surgery hole; an elastic means which provides the main body with a retraction force for maintaining the surgery hole; and a support member formed between the main body and the elastic means to transmit the retraction force to the main body. Accordingly, due to being provided with the elastic means that provides the main body with the retraction force for maintaining the surgery hole, the retractor does not need to be controlled by medical personnel, is convenient to install in the surgery hole, has a simple structure, and hardly interferes with other medical devices, and thus is convenient to use.

The invention discloses an exercise auxiliary treatment device for patients with spinal diseases, and particularly relates to the technical field of spinal disease treatment.The exercise auxiliary treatment device comprises a treatment seat, storage box bodies are symmetrically fixed to the left side and the right side of the rear end of a backrest of the treatment seat, and take-up reels are rotationally installed in inner cavities of the two storage box bodies; a first connecting rod is rotatably mounted at the left end of the storage box body on the left side, the first connecting rod is fixedly connected with rotating shafts of the two take-up reels, fixing ropes are symmetrically fixed to the upper portion of the front end of a backrest of the storage box body, and the other ends of the fixing ropes are fixedly connected with the take-up reels; two transmission gears are fixed to the outer surface of the first connecting rod, and a correction device is fixed to the rear end of the treatment seat backrest. According to the exercise auxiliary treatment device for the spinal disease patient, the design that a take-up reel is matched with a fixing rope is adopted, operation of the device is facilitated, and the treatment effect of the device is improved by adopting the design of the treatment mechanism.

The invention relates to the technical field of medical equipment for spinal diseases, in particular to a vibrating arm for a spinal osteopathy machine, the spinal osteopathy machine and a using method.The vibrating arm comprises a shell and a partition plate fixed in the shell, a main shaft is arranged in the shell and penetrates through the partition plate, and one end of the main shaft extends out of the shell; the end, extending out of the shell, of the spindle is connected with a mounting seat, the bottom of the mounting seat is connected with a contact, and a driving part capable of driving the spindle to reciprocate is arranged on the shell. The driving part comprises a swing block and a motor, a first connecting shaft is fixed to one end of the spindle, the swing block is located above the spindle and rotationally connected with the first connecting shaft, the motor is fixed to the shell, a cylindrical block is fixed to an output shaft of the motor, an eccentric wheel is fixed to the cylindrical block, and the eccentric wheel is rotationally connected with the end, away from the spindle, of the swing block. The device has the technical effects that muscle ligaments on the cone are completely separated from intervertebral gaps, and the treatment effect is good.

The invention relates to the field of spinal disease rehabilitation, in particular to an on-bed lumbar disc herniation traction device. The invention provides an on-bed lumbar disc herniation traction device which can apply proper tension to the lumbar vertebra of a patient, indirectly adjust the lumbar vertebra posture of the patient and intermittently stretch the waist of the patient, so that the ideal lumbar vertebra shape of the patient is guaranteed, and the improvement effect of lumbar disc herniation of the patient is improved. A traction device for lumbar disc herniation on a bed comprises a supporting frame, a bed board, a stress rod and the like. A bed board is fixedly connected to the upper portion of the supporting frame, and two stress rods are fixedly connected to the upper surface of the bed board. According to the lumbar intervertebral disc rehabilitation device, the waist bandage moves to generate oblique stretching force on the waist of the patient, so that the lumbar vertebra of the patient is lifted, the posture of the lumbar vertebra of the patient is gradually adjusted, and reverse rehabilitation of the lumbar intervertebral disc disease of the patient is promoted.

Embodiments of the present disclosure disclose a spine disease recognition system based on relationship perception and condition classification. A specific implementation of the system includes a data processing server, a feature extraction server, a disease recognition server, a report generation server, and a user interaction terminal, wherein: the data processing server is configured to perform preset standardization processing on spine disease patient data; the feature extraction server is configured to perform feature extraction and segmentation on standard image data; the disease recognition server is configured to perform spine disease recognition to obtain a spine disease recognition result; the report generation server is configured to perform multi-modal fusion and generate a structured spine disease recognition report; and the user interaction terminal is configured to display the image and the report and control at least one of a robot and a chemical dispensing device to perform a preset operation according to an electrical signal. The implementation achieves the effects of reducing the display waiting time of the system and reducing the redundant calculation cycle.

The application discloses a kind of spinal repair beds and control method, it is related to medical rehabilitation equipment technical field.The terahertz physiotherapy component is realized longitudinal reciprocating movement by linear guide rail;Traction and swing component transmits the transverse swing generated by swing mechanism and traction effect to lower limb and / or shoulder fixing piece;Loosen the rolling device of ridge and set adjustable rolling component;Vertebra compression physiotherapy device includes telescopic pressure column and detachable pressure block with concave contact surface;Physiotherapy control system implements closed-loop control to traction, swing frequency and amplitude, rolling driving force and displacement and terahertz output power and moving speed based on multi-sensor data, and constructs safety index to realize cross-component safety interlock, when monitoring parameter exceeds threshold value or change rate is over limit, automatically link to reduce multiple outputs or shutdown.The application realizes the integration of multiple physical rehabilitation means, intelligentization and collaborative safety protection, and is suitable for systematic rehabilitation treatment of spinal disease.

Systems and methods are provided for treating and / or correcting spinal diseases, disorders, conditions, and deformities. A method for decompressing a spine of a patient comprises advancing first and second bone anchors through an opening in the patient to a target portion of a vertebral column and securing the first and second bone anchors to first and second bones within the vertebral column. A connector element is positioned between the first and second bone anchors and a force is applied to the connector element to distract the vertebral column and at least partially decompress the target portion of the vertebral column. The force applied by the connector element may be sufficient to increase the distance between two adjacent vertebral bodies to restore disc height or it may be sufficient to increase the space within the neural foramina in the patient to open the neural foramina and decompress one or more nerve roots therein.

1. Name of the product in this design: Spinal Alignment Bed. 2. Purpose of this design: A rehabilitation and physiotherapy device for treating spinal diseases. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application discloses a pain positioning and auxiliary diagnosis method and system based on a three-dimensional human body model marking. Firstly, a three-dimensional human body model is constructed, human body parts are manually marked according to an anatomical atlas, a mapping file of a surface patch ID and a part field is generated, and 30 spinal nerve dermatomes are associated with the surface patch. The patient marks the pain area on the model, the system obtains the selected surface patch ID set, converts it into a human body part and a dermatome field by using a reverse index. Combined with the pain type and the accompanying symptoms, vector semantic retrieval and structured matching are carried out in the muscle fascia, spinal disease and fourteen meridian three major theoretical medical knowledge bases to obtain relevant medical knowledge. Finally, a diagnosis suggestion containing a suspected disease, diagnosis analysis, treatment suggestion and recommended department is generated by a large language model. The application realizes the visualization and intelligentization of outpatient pain marking, greatly shortens the positioning time of the first diagnosis, significantly improves the positioning accuracy, and then significantly improves the diagnosis and treatment efficiency.

Provided herein are compositions and methods for ablating intracellular signaling through specific cell surface receptors as means of treatment for various conditions of a pro-inflammatory character. In some aspects, the compositions and methods are to prevent the progression of osteoarthritis and other arthritides and to treat osteoarthritis and other arthritides in a mammalian joint. In some aspects, the compositions and method are for treating or preventing localized nociception, inflammation, degeneration, or morphological changes associated with back or spine conditions or disorders.

The invention provides an evaluation method and system of a multi-modal large language model for spinal disease diagnosis, and belongs to the field of artificial intelligence and medical imaging diagnose.The method comprises the steps that a target data set is obtained, and the target data set is an image set obtained by preprocessing multiple spinal disease heterogeneous data sets; constructing a target VQA pair based on the target data set, wherein the target VQA pair comprises a spinal disease diagnosis task VQA pair and a spinal lesion positioning task VQA pair; screening the target VQA pair to obtain a reference subset; and testing the multi-modal large language model according to the reference subset, and determining an evaluation result of the multi-modal large language model. According to the evaluation method and system of the multi-mode large language model for spinal disease diagnosis, the defect of an existing evaluation benchmark in the field of spinal pathology can be overcome, the blank of a high-quality data set is filled up, and the authenticity and challenge of evaluation are improved.

The invention relates to pre-operation weakness auxiliary diagnosis equipment based on serum albumin concentration measurement, and belongs to the technical field of spinal disease auxiliary diagnosis, and the pre-operation weakness auxiliary diagnosis equipment comprises a collector used for obtaining data information related to spinal degenerative diseases of a user; the computer is used for analyzing and processing the data information acquired by the acquisition device, and the data information acquired by the acquisition device comprises the serum albumin concentration acquired by a detection part autonomously operated by a user and BMI and CCI actively or passively uploaded by the user; the computer can calculate a comprehensive score for representing the preoperative weakness state of the user on the basis of the data information, and constructs an actual curve changing along with time by using the comprehensive score calculated at different time nodes; and selecting a corresponding judgment standard based on the stage of the actual curve to compare the actual curve with the reference curve so as to generate a diagnosis result for judging whether the user executing the intervention measure reaches the standard or not.