911 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.

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;

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.

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 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 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.

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.

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 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 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.

The application discloses a kind of based on multi-modal medical image's lumbar disc herniation postoperative recurrence prediction system, belong to medical image field.Use lumbar image set and each image corresponding feature true value and each patient corresponding recurrence prediction label to carry out training to based on multi-modal image's lumbar disc herniation postoperative recurrence prediction model, in training process, using random gradient descent algorithm to update model parameter, obtain the trained based on multi-modal image's lumbar disc herniation postoperative recurrence prediction model.Through the application, benefit from the rich image features provided by multi-modal image, the prediction network trained based on multi-modal data shows higher accuracy in lumbar disc herniation postoperative recurrence prediction.

The invention provides an osteoporosis fracture risk prediction method and system based on multi-modal imageomics. The method comprises the following steps: S1, acquiring multi-modal image data of the lumbar vertebra of a user; s2, performing feature correction according to the acquired multi-modal image data to obtain a time-space aligned multi-modal feature tensor; s3, according to the obtained multi-modal feature tensor, the integrity of the bone microstructure at each position is evolved based on the trained bone microstructure evolution model, and a bone microstructure integrity evolution result is obtained; and S4, according to the obtained bone microstructure integrity evolution result, extracting a fracture risk characteristic part, and further performing fracture risk prediction on the fracture risk characteristic part to obtain a fracture risk prediction result. According to the invention, the accuracy and reliability of osteoporotic fracture risk prediction can be improved.

The invention relates to the technical field of rehabilitation treatment, and discloses a lumbar vertebra rehabilitation exercise adjusting method and system based on HAPA and a storage medium. The method comprises the following steps: setting an HAPA psychological scale electronic questionnaire on a patient terminal, collecting answer data, and standardizing to obtain an HAPA psychological index; meanwhile, the waist three-axis angular speed, the myoelectricity root-mean-square value and the voice pain score are collected, and the exercise tolerance index is obtained. And inputting the HAPA psychological index and the exercise tolerance index into an exercise intensity mapping model to obtain an exercise intensity grade, and calling out corresponding parameters from a rehabilitation action library to form a basic training scheme. The exercise intensity grade, the exercise tolerance index and the corresponding threshold value are judged, the exercise parameters of the basic training scheme are correspondingly adjusted, the adjusted parameters and the patient completion degree are transmitted to a cloud end, and model self-learning is achieved. Personalized, intelligent and self-adaptive adjustment of lumbar vertebra rehabilitation training is achieved, and the training tolerance and the rehabilitation effect of a patient are improved.

The invention relates to a self-healing bionic intervertebral disc capable of improving service stability and a nucleus pulposus preparation method of the self-healing bionic intervertebral disc, and belongs to the field of bionic implant prostheses. The self-healing bionic intervertebral disc capable of improving the service stability is composed of an upper end plate, a bionic fibrous ring layer, a lower end plate and a bionic nucleus pulposus, the bionic nucleus pulposus adopts dynamic cross-linked hydrogel to simulate the viscoelasticity and moisture regulation function of a natural nucleus pulposus, and the buffering and self-healing characteristics of the bionic intervertebral disc are achieved; the bionic fiber ring layer achieves gradient mechanical properties through directionally-arranged composite materials, and three-dimensional physiological movement of the artificial intervertebral disc close to the lumbar vertebra of a human body is achieved. The bionic intervertebral disc provided by the invention is matched with viscoelasticity of a natural intervertebral disc, recovers natural matching with three-dimensional physiological movement of a human spine, can buffer dynamic load and maintain intervertebral height, can perform micro-injury self-repair through dynamic crosslinking of chemical bonds in bionic nucleus pulposus, and has a good application prospect. And the kinematic mechanical stability of long-term service in a human body is realized.

The invention discloses a traction pressing reset device, and belongs to the technical field of medical instruments. In order to solve the problem that at present, the traction effect is poor due to the fact that multi-direction and multi-part cooperative traction cannot be achieved, the traction pressing reset device comprises a bed plate, the bed plate is provided with a groove and two supporting plates, and the bed plate further comprises a waist stretching mechanism, a neck stretching mechanism and a pelvic bone stretching mechanism; the waist stretching mechanism is mounted on the bed board and used for reducing the backward protrusion of the waist centrum; the neck stretching mechanism is movably installed on the bed board and located on the right side of the waist stretching mechanism, the traction force is applied to the neck, the indirect correcting and supporting effects on the lumbar curvature are achieved, and excessive kyphosis of the waist centrum is assisted to be reduced; the pelvis stretching mechanism is slidably mounted on the bed board and located on the left side of the waist stretching mechanism, transverse traction force is applied to the pelvis, counter-acting force is formed on the lumbar vertebra area, and therefore the abnormal kyphosis state of the waist centrum is adjusted and relieved in an auxiliary mode.

The invention relates to the technical field of medical instruments, in particular to an active variable bush-hook of a cervical and lumbar surgery instrument and an application method of the active variable bush-hook. The variable bush-hook comprises a handle assembly and a variable bush-hook assembly which are connected with each other. The variable hook knife assembly comprises an angle-adjustable hook knife; by operating the handle assembly, the hooked knife can be driven to change the angle, and the cutting action on target tissue is achieved through manual force application. Through the specific structure connection and transmission design, the exposure angle of the cutting part of the hook knife can be changed, automatic resetting can be achieved, and precise, safe and active cutting of the hooked vertebra joint ligament or the posterior longitudinal ligament in the deep narrow space is achieved.

The invention relates to the technical field of intelligent medical treatment, in particular to a lumbar vertebral pedicle screw dynamic guiding method and system based on augmented reality, and the method comprises the following steps: constructing an entity lumbar vertebra skeleton model of a patient, and obtaining a cubic marker of the entity lumbar vertebra skeleton model to establish a lumbar vertebra skeleton space coordinate system; acquiring scanning data of the entity lumbar vertebra skeleton model based on the lumbar vertebra skeleton space coordinate system, and reconstructing a three-dimensional lumbar vertebra skeleton model according to the scanning data; combining the entity lumbar vertebra skeleton model and the three-dimensional lumbar vertebra skeleton model to obtain a lumbar vertebra skeleton virtual and real registration result; and obtaining a real-time path track of the lumbar vertebra pedicle screw according to the lumbar vertebra skeleton virtual and real registration result so as to realize dynamic guidance of the lumbar vertebra pedicle screw. According to the invention, through registration of the solid model and the three-dimensional model, dynamic guidance of the screw path is realized in combination with a risk early warning mechanism, and the accuracy and safety of implantation of the lumbar pedicle screw are improved.

The invention discloses a traction force control optimization method and device of a lumbar vertebra tractor, and relates to the technical field of traction force control. The traction force control optimization method of the lumbar vertebra tractor comprises the following steps: acquiring contact movement time sequence data of the current traction period of the lumbar vertebra tractor, and analyzing a traction surface three-dimensional time sequence point set of the current traction period; in combination with a pre-trained traction recognition model, a traction structure surface co-integration index of the current traction period is analyzed; user muscle response data of the current traction period are obtained, a muscle traction response consistency index of the current traction period is analyzed, comprehensive analysis is conducted on the muscle traction response consistency index and a traction structural surface co-integration index of the muscle traction response consistency index, and a traction adaptation degree index is obtained. Therefore, the body reaction of the user in the lumbar traction process can be accurately captured, and then the traction force is adjusted to ensure that the distribution of the traction force is always matched with the state of muscles and waist tissues of the user.

The invention relates to the technical field of osteoporosis detection, in particular to an osteoporosis risk assessment system and method for lumbar magnetic resonance images. The system comprises an image acquisition module, a structure processing module, a feature extraction module, a bone mineral density prediction module and a reasoning control module, through MRI image preprocessing and image feature vector extraction, in combination with non-image information such as age, gender, height, weight and the like, a backstepping mapping model is constructed in a multi-modal mode, and continuous estimation of bone mineral density and bone related characterization values is achieved. According to the method, quantitative extraction of the iconography parameters of the lumbar vertebra bone tissue can be achieved under the non-radiation condition, and a safe and repeatable opportunity analysis means is provided for iconography monitoring and follow-up visit of high-risk people; meanwhile, the adaptability of the model in multi-center data is remarkably enhanced, overfitting is avoided, and the consistency and reliability of calculation results of bone characterization parameter values between different devices and samples are improved.

The present invention relates to a method for determining the disc incision depth of posterior lumbar interbody fusion, comprising the following steps: (1) Selecting patients with lumbar degenerative diseases who have undergone X-ray examination and plain CT scan of lumbar intervertebral discs as samples; (2) Removing unqualified samples; (3) Taking anteroposterior and lateral X-rays of the lumbar spine with the patient standing, and performing tomographic scanning with the patient lying flat; (4) Measuring the lengths of the lower edges of the L3 (the third lumbar vertebra), L4 (the fourth lumbar vertebra), and L5 (the fifth lumbar vertebra) vertebral bodies in the X-ray films as the X-ray depths of the L3 / 4, L4 / 5, and L5 / S1 intervertebral spaces; (5) Performing statistical analysis using SPSS 18.0 software and making a table of the analysis results; (6) Obtaining the warning value of the disc incision depth based on the data results. This method provides the warning value of the insertion depth of the nucleus pulposus forceps for medical staff performing posterior lumbar interbody fusion, improving the safety and success rate of interbody fusion.

The utility model relates to the technical field of work clothes, and discloses a fit one-piece work clothes suitable for operation in a narrow space, which comprises a work clothes main body, a plurality of parallel transverse organ folds are arranged at the back waist part of the work clothes main body, and each transverse organ fold horizontally extends along the axis of the lumbar vertebra of a human body. The folds are integrally formed by an outer aramid fiber protective fabric layer and an inner high-elasticity knitted fabric layer in a hot-pressing composite mode. Through the composite design of the transverse organ wrinkles and the high-elastic lining, on the basis of maintaining slim fit of the conjoined clothes, the skin deformation track of waist bending-stretching is dynamically matched, the problems of action lagging and clothes wrinkle redundancy caused by waist size rigidity limitation are thoroughly solved, and the conjoined clothes are more comfortable to wear. And meanwhile, the protective property, the dynamic fitting property and the quick resetting capability are considered.