598 results about "Lumbar spine" patented technology

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.

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.

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 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.

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 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 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 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 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 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.

The application discloses a lumbar puncture auxiliary mechanism and a use method thereof. The lumbar puncture auxiliary mechanism comprises a main body assembly, a supporting shell fixed to one side of a positioning disc, and a puncture needle penetrating through the positioning disc and the supporting shell. The main body assembly is provided with an adjusting assembly in the supporting shell. The adjusting assembly comprises a driving element arranged on one side of the positioning disc, a transmission element arranged on one side of the driving element, and an adjusting element arranged on one side of the transmission element. The adjusting element comprises a limiting shell fixed to the inner wall of the supporting shell, a rack sliding in the limiting shell, and a first spring fixed to the end of the rack. The adjusting assembly can intermittently supply the puncture needle, so that the puncture needle can smoothly break through the yellow ligament without improper force. The puncture process can be judged, so that the time when the puncture needle enters the epidural space and the subarachnoid space can be accurately grasped, and the accidental damage to the human body is reduced.

The present disclosure is directed to devices, kits, and methods for treating lumbar spinal stenosis by at least partially decompressing a compressed nerve root. The method can include identifying the compressed nerve root and percutaneously accessing a region of a lamina located adjacent to the compressed nerve root. The method can also include forming a channel through the region of the lamina, wherein the channel can be formed medial to a lateral border of the lamina. Further, the method can include expanding the channel in a lateral direction.

The invention discloses a lumbar drainage tube decompression secondary fixing device, which belongs to the field of medical drainage devices, is used for drainage, and comprises a gasket, a plurality of gasket mounting holes are distributed on the gasket, a plurality of guide seats are arranged on the top surface of the gasket along a fixing path of a lumbar drainage tube, and the guide seats are inserted into the gasket mounting holes. A placing groove for placing and limiting a lumbar drainage tube is formed in the guide seat, a plurality of dressing connecting seats are inserted into the gasket mounting hole in the bottom surface of the gasket, dressing clamping jaws are arranged on the dressing connecting seats, the dressing connecting seats are connected with dressing through the dressing clamping jaws, and the dressing is located between the human skin and the gasket. According to the lumbar drainage tube fixing device, secondary fixing of the lumbar drainage tube can be achieved, the lumbar drainage tube is prevented from being pressed under the action of external force, the fixing effect and quality are improved, and the flexibility of setting a path for the lumbar drainage tube is improved.

The utility model relates to the technical field of dental diagnosis and treatment chairs, and particularly discloses a dental diagnosis and treatment chair which comprises a diagnosis and treatment chair body, the diagnosis and treatment chair body comprises a backrest, a lumbar vertebra corresponding area of the backrest is provided with a waist supporting device, the waist supporting device comprises a supporting frame, a supporting roller and a lifting driving assembly, and the supporting frame is provided with a guide groove. The lifting driving assembly is in transmission connection with the supporting rollers to drive the supporting rollers to move up and down along the guide grooves. According to the waist supporting device of the dental diagnosis and treatment chair, the height of the supporting roller is flexibly adjusted through the lifting driving assembly, so that the supporting roller can better fit the lumbar vertebra curve of a patient, and an appropriate support is provided for the waist.

The invention relates to the technical field of external traditional Chinese medicine plasters, in particular to a yang-activating, cold-removing and pain-relieving ointment and a preparation method thereof. The analgesic ointment is prepared by taking black sesame oil and yellow lead as matrixes and assisting coarse medicinal materials with the effects of warming yang, dispelling cold, promoting blood circulation and dredging collaterals and fine medicinal materials (musk, camphor, myrrh, frankincense and the like) through the steps of treating the medicinal materials, extracting, refining oil, adding the yellow lead to form the ointment, removing fire toxin, adding the fine materials, spreading and the like. The traditional Chinese medicine composition does not contain western medicine components, can warm yang and dredge vessels, dispel cold and wind and eliminate dampness, promote blood circulation to remove meridian obstruction and remove blood stasis, and relieve swelling and pain, and is suitable for treating various orthopedic and rheumatism diseases such as acute and chronic lumbar and cervical diseases, knee joint hyperosteogeny, sciatica and scapulohumeral periarthritis. The ointment is large in drug loading capacity, capable of being administrated for a long time, good in long-term curative effect, not prone to relapse after healing, capable of being directly applied without heating, convenient to use, free of deterioration in two years at the normal temperature, small in irritation, low in anaphylaxis and high in safety.

The utility model provides a restraint strap for a lumbar puncture patient. According to the restraint strap, elastic bands are symmetrically sewn on a chest strap, a son buckle and a mother buckle are arranged at the two ends of the chest strap respectively, two straps are sewn on the upper portion of the chest strap, the straps are connected with a chest strap connecting strap through buckles shaped like a Chinese character'ri ', upper Y-shaped straps are sewn on the tops of the straps, leg straps are sewn on the lower portions of lower Y-shaped straps, and the upper Y-shaped straps are connected with the lower Y-shaped straps through buckles shaped like a Chinese character'ri'. Velcro tapes are arranged at the two ends of the leg bridle, a son buckle and a buckle shaped like a Chinese character'ri 'are fixedly arranged at the two ends of the connecting band respectively, and the upper Y-shaped bridle is connected with the lower Y-shaped bridle through the connecting band. The restraint strap can stably fix the body of a patient, reduces unnecessary movement of the patient in the lumbar puncture process, helps the patient to keep a standard lumbar puncture body position, facilitates accurate positioning of a puncture point, shortens the lumbar puncture time, is reasonable in structural design, easy, convenient and practical to operate, reduces repeated operation caused by lumbar puncture failure, and improves the lumbar puncture success rate. And the efficiency of lumbar puncture is improved.

The utility model discloses a kind of automobile parts bending strength detection devices, including: detection device main body, including base, support frame, lifting seat, connecting column and extruding head, the upper end of the base is provided with control panel, the connecting place of support frame and lifting seat is provided with lifting drive mechanism, the bottom of lifting seat is installed with CCD camera, connecting column and extruding head are connected by pressure sensor one;Feeding structure, set in the upper end of base, including the slide rail of being fixed on the upper end of base, the upper end of the base is provided with feeding plate, the height of the bearing platform of traditional device and position fixed can be solved, operator needs to frequently bend or forwardly lean body and carry out clamping operation, long-term operation is prone to cause lumbar injury and other occupational diseases;Second, position deviation is prone to during manual placement, in turn easily lead to subsequent force point deviation, affect the problem of the accuracy of test data.

The present invention relates to a smart textile garment, a system and a method for functional assessment and monitoring of the lumbar spine, based on the acquisition of bioelectrical signals and data concerning a user's postures and movements, which, in combination with artificial intelligence techniques, allows the sensations perceived by the user to be objectively assessed and classified, eliminating the subjective component in this operation. For this purpose, the garment of the invention incorporates a plurality of textile electrodes for acquiring various bioelectrical signals, such as ECG (HRV), EMG and / or EDA, which are processed by control electronics linked to a movement and posture acquisition system and to processing software that uses machine learning methods to associate patterns of movement and posture with bioelectrical signals indicative of injuries causing lumbar pain.

This invention relates to a novel P-approach endoscopic lumbar fusion surgery method, belonging to the field of lumbar fusion surgery technology. This method addresses the high risk of nerve injury and insufficient operational precision in existing endoscopic fusion techniques by proposing an improved solution. It utilizes Kirschner wires for positioning at the inferior articular process to establish a precise entry point avoiding the nerve root pathway; a visually guided circular saw is used throughout the endoscopic procedure to construct a safe triangular working channel directly reaching the spinal canal; under full endoscopic monitoring, a unilateral approach is used for bilateral spinal canal decompression, thoroughly removing diseased tissue and scraping the endplates until punctate bleeding occurs; a bone graft cannula with a curved tip is used to precisely implant the fusion device into the anterior region of the intervertebral space, restoring intervertebral height through a self-locking structure; finally, a universal pedicle screw is percutaneously implanted for fixation. This method reduces the risk of nerve injury, improves surgical safety and efficiency, and is suitable for patients with lumbar spondylolisthesis complicated by spinal stenosis.

An interbody device (100) for a surgical procedure having an outer body (164) made of a radiopaque material (160) and an insertion portion (116) having a first width at a first end of the insertion portion (116) that is less than a second width at a second end of the insertion portion (116). The insertion portion (116) configured for entering into a disc space (123) and the interbody device (100) including a top surface (124) having a convex shape.

A lumbar interbody fusion device includes a first wing, a second wing, and a bridge. The bridge has an arcuate resting shape and include a first end connected to the first wing, a second end connected to the second wing, and at least one aperture extending through the bridge in a radial direction relative to the arcuate resting shape of the bridge. The bridge is elastically deformable such that a distance between the first wing and the second wing may vary according to elastic deformation of the bridge.

This invention relates to the field of cervical and lumbar spine rehabilitation technology, and more particularly to a cervical and lumbar spine rehabilitation training system integrating posture monitoring and motion guidance. The system includes the following modules: a data acquisition and preprocessing module, used to collect real-time three-dimensional posture data of the user's cervical, thoracic, and lumbar spine and related joints, and generate motion data after standardization processing; and a micro-deviation analysis module, which generates a personalized micro-deviation accumulation model based on the motion data, predicts micro-deviations in real time, and generates personalized training adjustment strategies based on the user's physiological characteristics, historical training data, and current movements. In this invention, the micro-deviation analysis module extracts joint position, angle, velocity, and acceleration features from the standardized motion data, and combines this with nonlinear system modeling, user physiological characteristics, and historical training data to realize a personalized micro-deviation accumulation model, generating real-time micro-deviation prediction and training adjustment strategies.

The invention relates to the technical field of testing, in particular to a dummy lumbar vertebra gap adjusting device which comprises a concave plate, the upper edge and the lower edge of the front surface of the concave plate are jointly and fixedly connected with a soft plate, a distance adjusting mechanism is arranged behind the soft plate, and one side edge of the concave plate is fixedly connected with a side block. Two rotating plates are rotatably connected to the surface of one side of the side block through a locking mechanism, a sliding plate is connected to the front end of each rotating plate through a telescopic mechanism, and an L-shaped strip is rotatably connected to the side, close to the concave plate, of each sliding plate through a reset mechanism. And meanwhile, the bending degree of the waist of the dummy is adjusted, so that a standardized impact test can be assisted.