1115 results about "Lumbar spine" patented technology

The invention provides a seat comfort optimization calculation method based on a sensor and AI modeling, and the method comprises the steps: collecting the pressure distribution data of the sitting posture of a passenger and a spine contact area in real time through an attitude sensor and a pressure sensor which are disposed on a seat; a seat supporting area is divided into a cervical vertebra area, a thoracic vertebra area, a lumbar vertebra area and a sacrococcygeal area, and a pressure distribution prediction model of each area is established; constructing an input vector based on the average pressure, the maximum pressure, the pressure gravity center, the body type parameter and the pathological weight factor, and outputting a target support pressure value, a pressure avoiding curve and a neighbor cell migration proportion of each partition by using an artificial intelligence model; dynamic adjustment is achieved through the partitioned air bag and the driving unit, and secondary fine adjustment and protection are achieved in combination with feedback monitoring. The system comprises a posture sensing module, a pressure sensing module, a data processing module, a model building module, a regulation and control execution module and a feedback monitoring module, and self-adaptive regulation and control of different areas of the spine of a passenger can be achieved.

A system for restoring muscle function to the lumbar spine to treat low back pain is provided. The system may include electrodes coupled to an implantable pulse generator (IPG), a handheld activator configured to transfer a stimulation command to the IPG, and an external programmer configured to transfer programming data to the IPG. The stimulation command directs the programmable controller to stimulate the tissue in accordance with the programming data. The system may include a software-based programming system run on a computer such that the treating physician may program and adjust stimulation parameters.

The invention provides an osteoporosis automatic diagnosis method and system based on position specific attention, and the method comprises the steps: carrying out the dual-channel enhancement preprocessing of a lumbar CT image, and generating an enhanced image taking the bone mineral density and the bone trabecula structure characteristics into consideration; inputting the enhanced image into a deep convolutional neural network for multi-scale feature extraction to obtain a feature map containing spatial semantic information; on the basis of the anatomical position index information, generating attention weighted features which highlight the key diagnosis area of the vertebral body; global pooling is carried out on the attention weighted features, and then comprehensive diagnosis features containing anatomical priori knowledge are constructed; and inputting the comprehensive diagnosis features into a classifier to realize centrum-level accurate diagnosis. According to the invention, the workload of radiologists can be effectively relieved, and the efficiency and coverage of osteoporosis screening can be improved. Especially under the condition that primary medical institutions are lack of experienced radiologists, the primary medical service level can be improved.

A system for restoring muscle function to the lumbar spine to treat low back pain is provided. The system may include electrodes coupled to an implantable pulse generator (IPG), a handheld activator configured to transfer a stimulation command to the IPG, and an external programmer configured to transfer programming data to the IPG. The stimulation command directs the programmable controller to stimulate the tissue in accordance with the programming data. The system may include a software-based programming system run on a computer such that the treating physician may program and adjust stimulation parameters.

The invention relates to the technical field of spine correction, in particular to a spine correction traction force control method and system, and the safety, effectiveness and intelligent level of spine correction treatment are improved. The method comprises the following steps: dividing a spine into at least three sub-regions according to an anatomical structure of the spine; the at least three sub-regions comprise a cervical vertebra region, a thoracic vertebra region and a lumbar vertebra region; performing biomechanical data acquisition on each sub-region to obtain a spine state feature set corresponding to each sub-region; the spine state feature set at least comprises a pressure distribution feature, a bending angle feature and a muscle tension feature; for different sub-regions, inputting the spine state feature set into a corresponding spine correction state evaluation model to obtain a spine correction state score of each sub-region; the anatomical structure and functional importance of the spine are considered, and the comprehensive influence weight of each sub-region is obtained from a preset weight database;

A baby carrier having a front carrier, a rear neck pad, and a spine support pad is provided. A lower edge of the front carrier is connected with a front waist strap. A left waist strap and a right waist strap are respectively extending from left and right sides of the front waist strap. A lower edge of the spine support pad abuts against lumbar spine to lighten loads of the lumbar spine and spine. A plurality of pressure relief blocks is disposed on an inner surface of the spine support pad for reducing sultry feeling. The front carrier, the left waist strap, the right waist strap, and the spine support pad are connected by a left band and a right band whose length are adjustable. Thereby the baby carrier easy to put on and off allows users to move their arms freely and have comfortable wearing experience.

The invention discloses a CT-based osteoporosis intelligent diagnosis method and system, and relates to the technical field of medical image diagnosis, and the method comprises the steps: carrying out the positioning of a lumbar region in an abdomen or thoracic and abdominal CT image through a deep learning model; digitally modeling the shape and the internal structure of the vertebral body; and automatic diagnosis of osteoporosis is completed. According to the method, full-automatic positioning, accurate segmentation and intelligent diagnosis of osteoporosis of the lumbar region in a conventional abdomen or thoracic and abdominal CT image are realized, the accuracy and efficiency of diagnosis are remarkably improved, and the problems of strong subjectivity and poor repeatability caused by dependence on manual sketching or simple threshold segmentation in a traditional method are solved; the method can be directly operated based on clinical conventional CT data, is beneficial to large-scale osteoporosis screening and early intervention, and has remarkable clinical popularization significance and technical progress value.

An interbody spinal implant / fusion cage and implant inserter system for facilitating interbody fusion in the lumbar spine using bone graft while reducing the number of passes made through the patient's disc space and the sensitive surrounding tissue by integrating bone graft delivery into the inserter system. The system combines insertion of the interbody implant with bone graft delivery directly into the disc space. The system includes the interbody implant, an interbody cover plate, an implant inserter assembly, a cover plate inserter, a bone graft plunger and a bone graft funnel. The inserter assembly includes a large rectangular cannula which attaches to a large rectangular posterior opening in the interbody implant instead of a round cannula. The rectangular cannula approximates the shape of the annulotomy and provides a larger cross-sectional area for passage of a much larger quantity of bone graft material without jamming. Related methods and kits are also disclosed.

Systems and methods for impingement analysis are disclosed herein. A method includes receiving a three-dimensional model of a human anatomy comprising a spinopelvic joint; receiving input related to a spinopelvic condition of a patient; determining at least one of a sacral slope or a lumbar lordosis of the patient based on the input; classifying the spinopelvic condition of the patient based on at least one of the sacral slope or the lumbar lordosis in a plurality of positions; modifying the three-dimensional model based on the spinopelvic condition and a placement of an implant; performing at least one simulation of one or more activities with the modified three-dimensional model; and displaying an impingement analysis on a display device based on the at least one simulation.

The invention belongs to a lumbar vertebra brace, and particularly relates to an intelligent self-adaptive lumbar vertebra rehabilitation brace combining targeted physiotherapy and biological feedback, which comprises a shell consisting of a front piece, side wings and a rear piece, the treatment module is arranged in the through hole area of the front piece and integrates a vibration actuating array, a flexible warming piece and a TENS electrode; the sensor module is provided with an overall detachable patch, and the sensor module integrates an interface pressure array, an IMU, an sEMG, an NTC and a PPT micro probe; the multi-cavity air bags are arranged along transition areas of the side wings and the front piece in a partitioned mode, and the micropump and the electromagnetic valve are connected with the multi-cavity air bags. One end of the self-adaptive winding adjusting module is arranged on the rear piece, the other end of the self-adaptive winding adjusting module is located in a winding cavity of the side wing and connected through a pull rope, the side wing end can be wound and stretched to adjust the tightness degree, vibration, heat and TENS parameter self-adaption are carried out on a pain point through PPT and sEMG feedback, lumbago can be reduced in a short time, and the curative effect can be quantified through PPT and myoelectricity.

The invention discloses a lumbar disc herniation postoperative recurrence prediction system based on a multi-modal medical image, and belongs to the field of medical images. The lumbar disc herniation postoperative recurrence prediction model based on the multi-modal image is trained by using the lumbar vertebra image set, the feature true value corresponding to each image and the recurrence prediction label corresponding to each patient, and in the training process, model parameters are updated by using a stochastic gradient descent algorithm; and a trained lumbar disc herniation postoperative recurrence prediction model based on the multi-modal image is obtained. According to the method and the system, due to rich image features provided by the multi-modal image, the prediction network trained based on the multi-modal data shows higher accuracy in postoperative recurrence prediction of the lumbar disc herniation.

The invention provides a device for constructing an intervertebral disc degeneration model by using mouse simulation, and belongs to the technical field of medical research. Comprising a mounting base plate, a supporting rod is connected to the middle of the top of the mounting base plate, a top seat is fixedly connected to the top of the supporting rod, and a ring seat is fixedly connected to the inner side of the top seat. The body clamping mechanism can accurately clamp an animal body, is matched with an electric push rod to realize bending or unfolding of the body, and is matched with the limb positioning mechanism to improve the experiment suitability and assist in simulating the pathological process of human intervertebral disc degeneration, the limb positioning mechanism fixes the limbs of the animal through antiskid plates, and the device can adapt to animals with different sizes and is high in practicability. The rotating shaft design avoids animal limb fracture, the angle adjusting assembly and the arc-shaped displacement assembly enable the animal limbs to flexibly swing and move up and down, the convenience and the adjusting adaptation performance of the device are improved, and more accurate data and reliable experiment conditions are provided for lumbar vertebra pathological research on the whole.

The invention relates to the technical field of bone implants for minimally invasive surgery, and particularly discloses an implant for percutaneous minimally invasive thoracolumbar vertebral fracture, which comprises a vertebral body forming body, the vertebral body forming body comprises a vertebral body forming body head and a plurality of blade parts arranged at the rear end of the vertebral body forming body head in a surrounding manner, the vertebral body forming body head is provided with a needle guide hole penetrating along the axial direction, and the needle guide hole is communicated with the blade parts; a containing cavity is defined by the blade parts; the front end of the threaded guide rod and the head of the cone forming body are integrally formed, the needle guide hole penetrates through the threaded guide rod in the axial direction, and the rear end of the threaded guide rod extends out of the containing cavity; the pedicle screw is provided with a threaded hole penetrating in the axial direction, the threaded hole is in threaded connection with the threaded guide rod, the pedicle screw comprises a screw head and a threaded part arranged at the rear end of the screw head, and the screw head is arranged in the containing cavity and expands the blade part. According to the implant for the percutaneous minimally invasive thoracolumbar vertebral fracture, surgical wounds are reduced, the vertebral restoration effect is good, the stability of a vertebral formed body is guaranteed, and the surgical time can be saved.

The invention discloses a lumbar disc herniation identification method and system based on a CT image, and the method comprises the steps: carrying out the multi-dimensional projection slice processing of input CT image data, and obtaining a multi-dimensional feature projection slice image data set; according to the multi-dimensional feature projection slice image data set, constructing an adaptive expansion bounding box model, and automatically generating a segmentation boundary of the lumbar intervertebral disc by using a nonlinear constraint iteration function to obtain a lumbar intervertebral disc three-dimensional voxel model of a target segmentation area; for the lumbar intervertebral disc three-dimensional voxel model, outputting a high-dimensional lumbar vertebra texture feature vector by using a fiber enhanced tensor network; and according to the high-dimensional lumbar vertebra texture feature vector, combining anatomical appearance features of the lumbar intervertebral disc at different positions in the multi-dimensional projection slice to construct a multi-dimensional fusion label classification model so as to output a normal or protruding identification result of the lumbar intervertebral disc. According to the embodiment of the invention, modern image processing and deep learning technologies can be combined, and the recognition rate and accuracy of lumbar disc herniation can be effectively improved.

The invention discloses a cleaning device for a bedridden patient after an anterior cervical vertebra surgery in the orthopedics department, and belongs to the technical field of medical instruments. The cleaning device comprises a bed body and a cleaning mechanism, the cleaning mechanism is used for cleaning the body of the patient, the cleaning device further comprises a supporting plate used for supporting the patient, and the supporting plate is provided with a long-strip-shaped through groove in the length direction of the bed body; the telescopic mechanism can stretch out and draw back in the length direction of the through groove, and when the telescopic mechanism stretches out, the telescopic mechanism can apply supporting force to the body of the patient; the first driving mechanism is used for driving the supporting plate to rotate around the length direction of the bed body; the protection plates are arranged on the two sides of the supporting plate and used for applying supporting force to one side of the body of the patient when the supporting plate rotates. According to the cleaning device for the bedridden patient after the anterior cervical vertebra surgery in the orthopedics department, the cervical vertebra and the lumbar vertebra of the patient can be prevented from being excessively stressed when the back of the body of the bedridden patient after the anterior cervical vertebra surgery is cleaned, and therefore secondary damage to the surgical part of the neck of the patient is avoided.

The invention relates to the technical field of computer vision and deep learning algorithm optimization, in particular to an image processing method and system based on a fusion growing point optimization algorithm and a Unet network, and the method comprises the following steps: collecting a lumbar vertebra CT image, extracting the gray value and the HU value of each pixel in the image, marking a lumbar vertebra bone region, obtaining the density information of the lumbar vertebra bone region, and obtaining the density information of the lumbar vertebra bone region; analyzing the gradient of the lumbar vertebra, segmenting the initial region, obtaining information points of the basic region from the initial region, classifying, and generating initial structural features of the lumbar vertebra; according to the invention, by collecting the lumbar vertebra CT image and extracting the gray value and the HU value of the pixel, the density information of the lumbar vertebra bone region is obtained and preliminary segmentation is carried out, the gradient change of the region can be accurately analyzed, and a reliable basis is provided for the preliminary region of the image. In the process, the deviation of the lumbar vertebra bone form is successfully corrected by dynamically adjusting the image rotation angle and analyzing the angle difference of the boundary normal, so that the consistency of the form in the subsequent processing process is ensured.

The present invention relates generally to implants and tools for the fixation or fusion of joints or bone segments. These tools include tissue dilators and protectors. Other tools include broaches used to shape bores in bone. The tools can also include a system for removing an implant from bone. Implants can include assemblies of one or more implant structures that make possible the achievement of diverse interventions involving the fusion and / or stabilization of lumbar and sacral vertebra in a non-invasive manner, with minimal incision, and without the necessitating the removing the intervertebral disc. Implants for fusing both sacroiliac joints of a patient include a long implant that extends across both sacroiliac joints.

The invention relates to the technical field of lumbar vertebra traction apparatuses, in particular to a lumbar vertebra traction apparatus for traditional Chinese medicine bone fracture treatment, which comprises a lumbar vertebra traction assembly, a dynamic traction unit and a pyretic moxibustion auxiliary module, in order to solve the problems that in the prior art, common lumbar vertebra traction equipment only conducts static traction on the waist of a patient and is poor in curative effect on chronic lumbar muscle degeneration and other diseases, the static traction function is reserved, meanwhile, the dynamic traction function is achieved, periodic reciprocating traction can be conducted, and the traction effect is good. The device has the advantages of being simple in structure, convenient to use and particularly suitable for patients with bone fractures such as lumbar muscle degeneration, the muscle microcirculation can be improved through rhythmic stretching, the function of well improving lumbar muscle degeneration is achieved, auxiliary pyretic moxibustion can be automatically carried out on the lumbar vertebra position of a patient while traction is carried out, the treatment effect is further improved, an additional power source is not needed, and the device is convenient to use and particularly suitable for being used by the patients with the bone fractures such as the lumbar muscle degeneration.

The invention provides a lumbar cancellous bone CT value automatic calculation method and system based on deep learning, and relates to the technical field of medical image classification and segmentation. According to the method, firstly, lumbar vertebra CT images corresponding to a plurality of lumbar vertebra segments can be classified from a large number of CT images of a target object, and then threshold segmentation is carried out on the lumbar vertebra CT images based on image characteristics of the lumbar vertebra portions to obtain threshold segmentation images; then, the lumbar vertebra CT image serves as input, the threshold segmentation image serves as prompt information to be input into an image segmentation model, a lumbar vertebra cancellous bone area is obtained through segmentation, and finally the average pixel value of the lumbar vertebra cancellous bone area of each lumbar vertebra segment is obtained through calculation based on the segmentation result returned to the original Dicom-format lumbar vertebra CT image. And finally, obtaining a lumbar vertebra cancellous bone CT value result of each lumbar vertebra section. Therefore, the original Dicom data can be automatically processed, and the CT value of the lumbar cancellous bone can be accurately calculated through the deep learning model so as to assist doctors in diagnosis.

The invention discloses a sitting type lumbar traction chair and a matching device thereof, and relates to the field of furniture and the field of health care instruments. The sitting type lumbar traction chair is a conceptual invention and comprises two main parts: one part is a chair with a hanging mechanism, such as double guide rails, and the chair can be a chair in any form; and secondly, the waist support belt is provided with a hook, and the waist support belt part can be in any form, such as a hard type, a soft type and the like. A user wears the waist protecting belt, the hook is hung on a hanging mechanism of a chair, a half-sitting half-hanging state is achieved, and therefore the traction effect on the lumbar vertebra is achieved. The ratio of sitting to hanging can be adjusted by adjusting the distance between the waist support belt and the chair surface, so that the traction force is adjusted. The distance between the waist support belt and the chair surface can be adjusted in four modes; the length of the hook on the waist support belt is changed; a liftable seat surface of the chair; a cushion; a certain angle is formed between the two guide hanging rails of the hanging mechanism, when the position is moved, the waist support belt ascends, and the traction force is increased.

An exoskeleton is provided and includes a garment to be worn by a user, an exoskeleton interface provided on a backside of the user when wearing the garment, and an exoskeleton mechanism adapted to be connected to the garment via the exoskeleton interface. The exoskeleton mechanism includes an actuator system having a spring-loaded assembly coupled a torso anchor and pivotally coupled to a waist anchor, and a resilient element connected to the casing. The spring-loaded assembly is operable to generate a force upon deformation or deflection of the resilient element. The exoskeleton mechanism also includes actuator links rotatably coupled between the waist anchor and respective thigh anchors. Each actuator link is operatively coupled to and adapted to operate the spring-loaded assembly upon rotation of the casing or the actuator links. The force generated upon operation of the spring-loaded assembly is transferred to the user via the exoskeleton interface and the garment to assist the user in performing a movement.

The invention relates to the technical field of rehabilitation robots, in particular to a rigid-flexible coupling trunk rehabilitation robot and a control method thereof. The invention comprises: a flexible wearing garment; the upper-layer protector is mounted at the upper part of the flexible wearing clothes; the lower-layer protector is mounted at the lower part of the flexible wearing clothes; two lumbar vertebra branch mechanisms; the URS branch chain mechanism is used for adjusting the rehabilitation center to be consistent with the lumbar vertebra rotation center of the human body; the thoracic vertebra branch mechanism is arranged on the inner wall of the upper-layer protector; during wearing, the upper-layer protector is worn at the thoracic vertebra position of a human body, and the lower-layer protector corresponds to the hip joint of the human body. The thoracic vertebra branch mechanism is arranged on the upper-layer protector, the lumbar vertebra branch mechanism is arranged between the upper-layer protector and the lower-layer protector, and the thoracic vertebra branch mechanism and the lumbar vertebra branch mechanism act on the thoracic vertebra and the lumbar vertebra in a synergistic mode, so that partitioned targeted rehabilitation is achieved, namely independent stretching, forward flexion, backward stretching and lateral flexion rehabilitation training of the thoracic vertebra is achieved; therefore, the rehabilitation action of the human trunk is more targeted, the rehabilitation effect is good, and the applicability and the rehabilitation efficiency in the rehabilitation process are greatly improved.

An expandable interbody spacer for placement between adjacent vertebrae having two or more upper and lower endplates and lateral expansion wedges configured to couple a drive means to expand both a height and a width of the expandable interbody spacer from a collapsed state to an expanded state.

The invention discloses a lumbar interbody fusion cage and an implementation method thereof.The lumbar interbody fusion cage comprises a base body, the base body comprises an upper end plate and a lower end plate, and the surface curvature of the upper end plate and the surface curvature of the lower end plate are matched with the lumbar interbody curvature of the human body; the porous coatings comprise a single coating and a multi-coating, the porous coatings cover the outer surfaces of the upper end plate and the lower end plate, the porous coatings are made of biological materials, the multi-coating is composed of a plurality of different biological material layers, and each layer of the multi-coating has different porosity and biocompatibility; the supporting structure comprises a flexible hinge, a through hole is formed in the inner side of the base body, the through hole penetrates through the left side and the right side of the base body, and the flexible hinge is matched with the through hole to enable the base body to be bent to a certain extent when the base body is subjected to external force. According to the lumbar interbody fusion cage, through optimization design, the biomechanical suitability, the biocompatibility and the bone healing effect are remarkably improved.

The present disclosure relates to an artificial lumbar disc and provides a lateral approach artificial disc that is inserted laterally rather than anteriorly of the spine, thereby preventing damage to blood vessels or other organs that may occur when an anterior access artificial disc is inserted from the front, shortening the surgical time, preventing dislodgment of the artificial disc, and improving the surgical prognosis. The artificial disc is inserted between two adjacent vertebrae and includes an upper plate contacting an upper vertebra, a lower plate contacting a lower vertebra, and an inserter inserted between the upper plate and the lower plate to allow the upper plate to rotate by a set angle with respect to the lower plate, and an upper wing portion and a lower wing portion are formed on the upper plate and the lower plate.

The invention relates to a lumbar drainage tube decompression secondary fixing device which mainly solves the problem that in the prior art, a lumbar drainage tube fixing device cannot be individually adjusted according to the waist curve and the body shape of a patient. The device comprises a bottom frame, an adjusting mechanism and a supporting mechanism, the bending degree of the supporting mechanism is adjusted through the adjusting mechanism to adapt to waist curves of different patients, it is ensured that the supporting mechanism is tightly attached to the waist, and a drainage tube is prevented from being pressed. The supporting mechanism is composed of a plurality of bow plates and chain blocks, the chain blocks are connected through pins, and the angles of the bow plates can be adjusted according to needs. The adjusting mechanism is matched with the sliding table through the driving rod, so that the supporting mechanism can be stably adjusted to adapt to different body position changes of the patient, the pressure of the waist is relieved, and the drainage tube is prevented from being pressed. The device can effectively solve the problem that a traditional supporting device cannot be flexibly adjusted, the comfort of a patient is improved, complications caused by improper fixation are reduced, and the device has good application prospects.

The invention relates to the technical field of medical training, and discloses a lumbar puncture simulation teaching system based on an AR technology, and the system comprises an AR content generation module which collects a lumbar medical image and carries out the tissue segmentation and focus recognition; performing three-dimensional geometric modeling based on the tissue segmentation result and the focus recognition result to generate a lumbar vertebra 3D model; the AR display interaction module develops an interaction function of the lumbar vertebra 3D model by using a Unity platform and AR equipment; interactive operation of the user is monitored, and feedback is conducted in real time; and the operation evaluation module is used for evaluating the interaction operation of the user and assigning an improvement suggestion according to an evaluation result. A three-dimensional visual scene is constructed through the AR technology, a user can observe the needle inserting process from different angles according to the complex anatomical structure of the lumbar vertebra part, and dynamic effects such as cerebrospinal fluid pressure change are simulated; in the lumbar puncture simulation training, the AR system can feed back operation data in real time, such as the needle inserting angle, the puncture strength and the puncture depth, and the user is helped to accurately master operation skills.

The utility model discloses an adjustable multifunctional ergonomic chair which comprises a chair seat, the lower surface of the chair seat is fixedly connected with a connecting frame, the back surface of the connecting frame is fixedly connected with a mounting plate, the inner wall of the mounting plate is in threaded connection with a screw rod, one end of the screw rod is movably connected with a limiting sleeve, and the other end of the screw rod is movably connected with a connecting rod. According to the adjustable multifunctional ergonomic chair, the rotating handle is pinched by hands, the screw rod is rotated, so that the tail bone support moves forwards or backwards on the chair seat, the tail bone support is adjusted to a proper position, a user can sit on the cushion of the chair seat at the moment, the protruding part of the cushion can be attached to the tail bone support, and therefore the user can sit on the adjustable multifunctional ergonomic chair. After a user sits down, the raised line on the tail bone support is just located at the position of a hip groove and is attached to the tail bone for supporting, and the arc-shaped block on the tail bone support is used for supporting the bottom of the lumbar vertebra, so that the bottom of the lumbar vertebra and the spine tail bone of the user of the ergonomic chair are supported, waist ache after long-time sitting is reduced, and the spine tail bone is prevented from being damaged.

The invention relates to the technical field of medical image auxiliary diagnosis, and provides an intervertebral joint osteoarthritis image feature evaluation method based on deep learning, which can synchronously identify five types of FJOA image features such as joint space stenosis, osteophyte, hypertrophy, subchondral bone erosion and subchondral cyst, and improves the comprehensiveness and efficiency of evaluation. The nnU-Net model is adopted to perform high-precision segmentation on an intervertebral joint region, so that the positioning precision is effectively improved; by introducing a shared feature extraction network based on ResNet-18 and five parallel classification sub-networks, joint modeling of multi-scale semantic information is realized, and the recognition accuracy and generalization ability of the model are improved; according to the method, a Grad-CAM technology is combined to generate an activation thermodynamic diagram, a model interpretation basis is superposed to an original image, visual display of an evaluation result is realized, interpretability and clinical applicability of the model are enhanced, and FJOA image features in axial lumbar vertebra CT images from two central data sets can be quantitatively evaluated so as to comprehensively quantify individual FJOA image features.

The present invention discloses an active upper limb exoskeleton robot, belonging to the field of exoskeleton robot technology, comprising: a back exoskeleton, a left arm exoskeleton, and a right arm exoskeleton. The back exoskeleton is a flexible structure, the front surface of which contacts the human back, and can bend and deform along with the human spine when the human body bends. The left arm exoskeleton and the right arm exoskeleton are symmetrically arranged on either side of the back exoskeleton and are respectively rotatably mounted on the top of the back exoskeleton via shoulder joints. The shoulder joints have three degrees of freedom: flexion / extension, internal rotation / external rotation, and adduction / abduction, and the rotation axes of the three degrees of freedom are respectively consistent with the rotation axes of the corresponding degrees of freedom of the human shoulder joint. The robot realizes flexion / extension, internal rotation / external rotation, and adduction / abduction movements, and the robot's degrees of freedom of movement are consistent with the human joint's degrees of freedom. The elbow joint has one degree of freedom. The elastic lumbar vertebra can adapt to the bending and deformation of the human lumbar vertebra, increase the bending range, and improve wearer comfort.