293 results about "Pelvis" patented technology

The invention provides a lower limb and gravity center dynamic balance posture early warning method based on a body measurement all-in-one machine, and the method comprises the steps: obtaining a pelvis forward inclination angle, an arch height and a gravity center position under a standard standing posture, taking the pelvis forward inclination angle, the arch height and the gravity center position as individualized baseline data, and carrying out the statistical analysis of the baseline data, and generating a dynamic balance reference value reflecting the normal balance capability of an individual; on the basis of the dynamic balance reference value, in combination with a gravity center forward trend and a lower limb muscle compensation mode, a balance offset index in standing posture change is calculated through a time sequence analysis algorithm, and a dynamic balance risk assessment result is obtained; and if a dynamic balance risk assessment result exceeds a danger threshold, clustering analysis is carried out on associated parameters of the pelvic forward inclination angle and the arch height, grouping processing is carried out on the associated parameters, and potential reasons causing balance capability degradation are identified.

The invention relates to the technical field of motion detection, in particular to an old people falling early warning system based on motion trail analysis, which comprises a gravity center identification module, a trend identification module, an inertia pushing module, a phase judgment module and a grade response module. According to the method, the vertical coordinates of the key points of the waist and the two feet in the image frame are acquired, and the height difference change is continuously tracked, so that the potential falling initial state can be identified from the static posture, the vector included angles among the three groups of bone points of the hip knee, the knee ankle and the shoulder pelvis are subjected to sequence analysis, and whether synchronous disintegration occurs in the coordination action is identified; the identified trend sequence is mapped according to the risk level, a differential response mechanism is applied, a high-density corresponding relation is constructed between the behavior trend and the alarm level, graded response and time sequence triggering of the falling risk are achieved, the accurate identification capability of the falling precursor action is enhanced, the sensitivity and discrimination of the alarm response are also improved, and the safety of the falling risk is improved. And misjudgment and missed judgment are effectively avoided.

The invention relates to an early screening method and system for abnormal spinal curvature based on multi-modal data fusion, and the method comprises the steps: carrying out the fusion of space-time sequence features based on obtained multi-modal data, and carrying out the three-dimensional biomechanical modeling, and obtaining a spine-pelvis-lower limb dynamic coupling network; carrying out weighted calculation on the key mechanical transmission path through a graph attention mechanism based on a dynamic coupling network to obtain a path strengthening feature vector; performing multi-modal risk quantitative modeling based on the path strengthening feature vector to obtain a multi-dimensional risk index; and based on multi-dimensional risk indexes, carrying out grading early warning decision making through threshold value comparison and dynamic risk layering so as to realize early screening of spinal curvature abnormity. By implementing the scheme, the early screening accuracy of the abnormal spinal curvature can be improved.

The invention relates to the technical field of medical orthopedic simulation devices, and discloses an orthopedic hip arthroscopic surgery simulation device which comprises a base, a supporting assembly is arranged on the upper side of the base, and a longitudinal moving assembly is arranged above one side of the supporting assembly. Transverse moving assemblies are arranged above the other side of the supporting assembly and on one side of the longitudinal moving assembly, one of the two transverse moving assemblies is provided with a thighbone model in a clamping mode, and the other one of the two transverse moving assemblies is provided with a pelvis model in a clamping mode. The supporting assembly comprises a right-angle table fixedly arranged at the position, close to one side, of the upper end of the base. According to the hip joint arthroscopic surgery simulation device for the orthopedics department, through overall cooperative use, movement in different directions under the normal condition is simulated, movement tracks in different spaces are improved, operation simulation is more flexible and real, and the operation ability of doctors in the surgery is improved.

The invention relates to an early risk assessment method and system for abnormal spine curvature, and the method comprises the steps: carrying out the fusion of space-time sequence features based on obtained multi-modal data, and carrying out the three-dimensional biomechanical modeling, and obtaining a spine-pelvis-lower limb dynamic coupling network; carrying out weighted calculation on the key mechanical transmission path through a graph attention mechanism based on a dynamic coupling network to obtain a path strengthening feature vector; performing multi-modal risk feature decoupling and dynamic weighted aggregation based on the path strengthening feature vector to obtain a structured risk map; and based on the structured risk map, early risk assessment of spine curvature abnormity is carried out through adaptive risk threshold mapping and dynamic risk quantification.

The invention provides a pelvis and sacrum early warning method and device based on a non-enhanced MRI end-to-end deep learning model, and is applied to the technical field of data processing. The method comprises the following steps: preprocessing preoperative magnetic resonance imaging sequence image information of a target user to generate target MRI sequence image information; processing the tumor state influence factors of the pelvis and the sacrum and the tumor risk adjustment factors of the pelvis and the sacrum to generate dynamic risk parameter information of the target user; processing a preset end-to-end deep learning model based on non-enhanced magnetic resonance imaging based on the training sample set and the verification sample set to generate a target end-to-end deep learning model; and processing the target MRI sequence image information, the physiological parameter information of the target user and the dynamic risk parameter information of the target user based on a target end-to-end deep learning model to generate user early warning information.

The invention provides a method for determining special pelvic acetabular cup prosthesis information based on mirror image reconstruction, which comprises the steps of CT equipment image performance detection, pelvic three-dimensional model reconstruction and special pelvic acetabular cup prosthesis information determination, and ensures the performance stability of CT equipment by acquiring and analyzing the operation data of the CT equipment. The method has the advantages that two-dimensional image blurring or distortion caused by poor performance of CT (computed tomography) equipment is avoided, high-quality pelvis two-dimensional images are acquired, the definition of the two-dimensional images can be guaranteed by analyzing and preprocessing the pelvis two-dimensional images, a reliable basis is provided for subsequent three-dimensional reconstruction and prosthesis information determination, and the method is suitable for popularization and application. According to the method, the accuracy and authenticity of the three-dimensional model are ensured, the accurate three-dimensional pelvis model is generated through three-dimensional reconstruction of the two-dimensional pelvis image, the structure and form of the pelvis can be displayed more visually, and a basis is provided for a subsequent special pelvis acetabular cup prosthesis information determination method.

The invention discloses a pelvic soft osteosarcoma MRI (Magnetic Resonance Imaging) segmentation method based on edge-guided multi-scale fusion. The method comprises the following steps: firstly, acquiring an MRI image of a patient with soft osteosarcoma of pelvis, and preprocessing the image; and then, constructing a pelvic soft osteosarcoma MRI segmentation network model, namely an EMU-Net segmentation network, based on edge-guided multi-scale fusion. And training the network by using the preprocessed training data, inputting a pelvic soft osteosarcoma MRI image to be segmented into the trained network, outputting a corresponding segmentation probability graph, and obtaining a final tumor segmentation mask by setting a threshold value. The method not only effectively overcomes the clinical segmentation bottleneck, but also realizes full-automatic and high-efficiency precise segmentation by means of an end-to-end deep learning architecture, and has remarkable advantages in the aspects of precision and robustness.

The present invention discloses an intelligent walking-assisting rehabilitation training robot, which relates to the technical field of medical devices and includes a human-computer interaction unit, a pelvic auxiliary motion mechanism, a lifting mechanism, a control unit, and a chassis moving mechanism. The chassis moving mechanism can achieve omnidirectional movement. The pelvic auxiliary motion mechanism is installed on the lifting mechanism and is used for patients to perform lower limb rehabilitation training under the guidance of a doctor or accompanied by family members, realizing the horizontal rotation, horizontal swing, and lateral rotation of the human pelvis, and achieving the effect of exercising the patient's control of the pelvis to achieve lower limb balance. The intelligent walking-assisting rehabilitation training robot provided by the present invention can provide motion damping, auxiliary support, obstacle avoidance, and auxiliary walking, provide three training methods for patients, namely standing balance training, walking static training, and walking dynamic training, and can display the training effect in real time through the human-computer interaction unit, so as to select corresponding training methods for patients in different rehabilitation stages and improve the rehabilitation training efficiency.

A portable exercise machine useable for isometric exercise and conditioning of the multifidus muscle has a seat with an adjustable upwardly inclined arm member and an adjustable downwardly inclined leg member. A handle connected to the arm member is adapted to be gripped by the user to perform static muscle contraction and stretching. A foot rest connected to the leg member allows the user's heels to rotate downwardly forcing the pelvis to lock and isolate the multifidus muscle for stretching and strengthening.

Balloon based therapy devices for treatment of diseased vessels with particular applicability to veins are described. The devices are adapted for active aspiration of a closure zone, in particular aspects to an isolated closure zone, prior to delivery of a closure agent. The devices may be used for treatment of diseased veins in the lower limbs and pelvis. The devices may also include mechanical abrasion elements adapted to engage with a vessel wall, such as along a treatment zone.

A lower limb structure of a humanoid robot comprises a waist assembly, two thigh assemblies, two shank assemblies and two sole assemblies. The waist assembly comprises a pelvic bone support and a waist joint driving module installed on the pelvic bone support. The thigh assembly comprises a thigh driving module and a thigh support, and the thigh support is connected to the pelvic bone support through the thigh driving module; each shank assembly comprises a knee joint driving module, an ankle joint driving module, a shank bracket, a cross bearing and an ankle joint bracket; the shank support is connected with the thigh support through the knee joint driving module, the ankle joint driving module is installed on the shank support, and the ankle joint support is movably connected to the bottom of the shank support through a cross bearing. The two sole assemblies are fixedly installed at the bottoms of the two ankle joint supports respectively. According to the humanoid robot, the pelvis, the waist, the thighs and the like of the human body are subjected to bionic structural design, and the humanoid degree, strength, impact resistance and load bearing capacity of the humanoid robot are enhanced; and the space utilization rate is high.

The embodiment of the invention provides a delivery progress prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring three-dimensional point cloud data of a pelvis area through a radar sensor; acquiring tissue metabolism state data of a cervical orifice area and acquiring uterine contraction pressure data; obtaining delivery multi-modal data according to the three-dimensional point cloud data, the tissue metabolism state data and the uterine contraction pressure data, performing feature extraction on the delivery multi-modal data to obtain soft tissue deformation features, cervical state features and current uterine contraction features, and performing cross-modal feature fusion to obtain delivery multi-modal features; performing open finger prediction based on the delivery multi-modal features to obtain open finger prediction data; the delivery process is predicted based on the open finger prediction data, the delivery progress is obtained, the delivery process prediction method and device can be applied to business systems needing a large number such as health care, and the delivery process prediction efficiency and precision can be improved.

The invention provides an X-ray-based scoliosis 3D intelligent automatic diagnosis system, which is characterized in that a spine area bounding frame coordinate, a hip bone bounding frame coordinate and a vertebral pedicle bounding frame coordinate are extracted from spine coronal image data, and the first 17 results are extracted to be matched with the number and spatial distribution of typical vertebral bodies of a human body; the method comprises the following steps: obtaining a spine region sub-graph, a hip bone region sub-graph and a vertebral pedicle region sub-graph, converting the sub-graphs into tensors to obtain a bounding box, four angular point coordinates and corresponding confidence of each vertebral body, storing the bounding box, the four angular point coordinates and the corresponding confidence as a structured record, performing Cobb angle calculation according to the structured record, and converting the structured record into an anatomical segment identifier; cutting is conducted according to the spine area, the hip bone area and the vertebral pedicle area subgraph, segmented vertebral pedicles and hip bones are obtained, the major curvature type, the pelvis height and the rotation direction are judged according to anatomical segment identifiers, and the patient age is determined according to the midpoints of the upper edges and the lower edges of the vertebral bodies, the arrangement angle of the adjacent vertebral bodies, spine major curvature core parameters and the age of the patient. And outputting a scoliosis 3D intelligent automatic diagnosis result.

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 discloses a motion posture analysis method based on image recognition, particularly relates to the field of image recognition, and is used for solving the problem of force transmission posture recognition of rotation type throwing motion in the prior art. According to the method, an image sequence covering the whole throwing process is collected, a continuous displacement track from a pelvis to a wrist key point is tracked and extracted, a rotary force storage stage and a release output stage are divided based on key point dynamic behaviors, and an attitude conversion time boundary is constructed; extracting a rotation angle change sequence to generate an angular velocity curve, calculating a theoretical linear velocity based on a tail-section angular velocity and a connection vector length, establishing a velocity ratio by combining an actual throwing object initial velocity tracked in the image, and screening a sample with the highest energy conversion rate as an attitude structure reference; and finally, performing connection vector angle comparison with image sequences of other samples, and positioning a posture offset key point, thereby realizing identification and analysis of the throwing action power generation link deviation.

The invention provides an alignment method and device for a three-dimensional model pose and a human pelvis pose, and relates to the technical field of medical image registration, and the method comprises the steps: obtaining pelvis 2D data of a patient in a pelvis minimally invasive surgery and a pre-constructed model pose of a three-dimensional model of the patient; the method comprises the following steps: determining a plurality of initial pose offset matrixes according to the positions of a plurality of interest points in pre-configured pelvis 3D data and the target position of each interest point in the body of a patient, determining a target pose offset matrix in the plurality of initial pose offset matrixes, and adjusting the model pose according to the target pose offset matrix to obtain a target pose. The model pose of the three-dimensional model is aligned with the pelvic pose of the patient. According to the method, the globally optimal solution is searched by adopting the step-by-step subdivision search strategy, the branching and trimming steps are realized, the scale of the search space is reduced, the algorithm efficiency is improved, and the method has higher adaptability and universality for the shape alignment problem.

A hip joint navigation system is provided that includes a base having at least one channel disposed therethrough for receiving a pin for mounting the base to the pelvis. A mount feature is disposed on a top surface. A registration jig is configured to couple with the base and to engage anatomical landmarks. In some aspects, a patient specific jig system for hip replacement is provided including an engagement surface formed to closely mate to acetabular bone contours of a specific patient and a registration feature configured to be in a pre-determined orientation relative to an acetabulum the patient when the jig is coupled with acetabular bone contours of the specific patient. In other aspects, methods of using the systems are provided.

The invention relates to an ergonomic back pillow, a leg support and a systemic ergonomic sleep support system. The ergonomic back pillow is composed of a transverse head and upper cervical vertebra supporting pillow for supporting the neutral position of the spine pelvis, a longitudinal lower cervical vertebra and chest supporting pillow and a transverse waist supporting pillow, and the longitudinal central axis of the longitudinal lower cervical vertebra and chest supporting pillow is aligned with the longitudinal central axis of the transverse head and upper cervical vertebra supporting pillow and the longitudinal central axis of the transverse waist supporting pillow. The left side vacancy and the right side vacancy are defined by the longitudinal symmetrical assembly and the longitudinal symmetrical assembly. The ergonomic leg support is composed of a transverse lower part for lifting a leg, a longitudinal left upper wing and a longitudinal right upper wing which are used for fixing the leg when the user lies on the side to sleep, and a gap which is surrounded by the longitudinal left upper wing and the longitudinal right upper wing and is used for placing the hip and the upper part of the thigh. The whole-body ergonomic sleep support system formed by combining the two parts provides equipment which has high practicability and is beneficial to keeping the neutral position calibration or correction of the whole musculoskeletal and promoting related sleep physiological functions.

The invention relates to the technical field of medical imaging, in particular to a pelvic stability dynamic detection method and stress analysis system based on dynamic DR. The method comprises the steps that on the basis of sign information of a user, parameters of a three-dimensional infrared motion capture system, a force measuring table and a pressure sensor are adapted to obtain static CT or MRI image data of a pelvis of a patient, and then the pelvic stability dynamic detection method and stress analysis system are obtained; establishing a pelvis coordinate system and defining geometric features of key points; collecting to-be-detected data of a user in the load bearing state; preprocessing the collected user data, and reconstructing a three-dimensional pelvis model of the user; performing biomechanical analysis based on the reconstructed three-dimensional pelvis model of the user to generate a pelvis stability index; and according to the pelvic stability index, automatically generating a pelvic stability risk index, and outputting a clinical decision suggestion. The problems that a traditional pelvis detection method still depends on a static image, dynamic stress distribution and stability evaluation cannot be effectively quantified, and an evaluation result is not accurate enough are solved.

A hip joint navigation system is provided that includes a base having at least one channel disposed therethrough for receiving a pin for mounting the base to the pelvis. A mount feature is disposed on a top surface. A registration jig is configured to couple with the base and to engage anatomical landmarks. In some aspects, a patient specific jig system for hip replacement is provided including an engagement surface formed to closely mate to acetabular bone contours of a specific patient and a registration feature configured to be in a pre-determined orientation relative to an acetabulum the patient when the jig is coupled with acetabular bone contours of the specific patient. In other aspects, methods of using the systems are provided.

A leg bolster elevation wedge includes: a main body, which includes a bottom surface, a top surface, a front end surface, a rear end surface, a left end surface, and a right end surface. The left end surface is arranged at an angle of 60° and has a first predetermined length. A rounded support portion is arranged between the left end surface and the top surface. The top surface is arranged at an angle of 30° and has a second predetermined length. The left end surface, the rounded support portion, and the top surface are positionable to contact and support a user's hips, thigh rears, knee pits, and shank rears in order to relax and decompress the user's lumbar spine, thoracic spine, vertebra and pelvis area, muscles, and ligaments. The angle between the left end surface and the top surface helps distribute weight in an ergonomic manner.

The invention discloses an intelligent training system for treating scoliosis. A posture sensing module in the system is used for collecting first three-dimensional position data of a preset key point of a spine, collecting inclination angle and rotation angle data of a pelvis and collecting second three-dimensional position data of a scapula; a main controller in the system is used for fitting the first three-dimensional position data to construct an actual curve of the spine, determining a lateral bending angle of the spine according to the actual curve, and judging the inclination degree of the inclination angle relative to a preset human body sagittal plane; judging the right-handed rotation degree of the rotation angle data relative to a preset vertical axis; calculating according to the second three-dimensional position data to obtain a motion track of the shoulder blade, and determining a deviation degree of the motion track; and finally, determining the scoliosis degree of the spine based on the scoliosis angle, the inclination degree, the dextrorotation degree and the deviation degree. The scoliosis degree detection accuracy is effectively improved by implementing the scoliosis degree detection method and the scoliosis degree detection device.

A massage device according to an embodiment of the present invention comprises: a seat part on which a user can sit; pelvic air cells positioned on both sides of the seat part and including a plurality of air cells; and a control unit for controlling the massage device, wherein the control unit performs a pelvic mode in which the pelvis of the user is pressed by activating air cells arranged diagonally from each other with respect to the seat part among the plurality of air cells.

The invention relates to the field of orthopedic appliances for bone or joint non-surgical treatment and the field of electrotherapy, magnetic therapy and radiation therapy, in particular to a postpartum infrared rehabilitation treatment device which comprises a treatment bed, a pelvis containing groove is formed in the treatment bed, an infrared heater is arranged at the bottom of the pelvis containing groove, and a transparent bottom plate is arranged at the bottom of the pelvis containing groove. A mounting base is arranged at the tail of the treatment bed, two fixing plates are slidably arranged on the mounting base, a synchronous driving mechanism is arranged in the mounting base and used for driving the two fixing plates to be synchronously separated or synchronously drawn close, connecting plates are slidably arranged on the fixing plates, bandages are arranged on the connecting plates, one ends of the bandages are fixedly connected with the connecting plates, and the other ends of the bandages are fixedly connected with the connecting plates. And the other end of the bandage is detachably connected with the connecting plate. The problem that in the prior art, the whole repairing process is driven by two legs of a patient, and labor is consumed is solved.

To provide a tracker apparatus that causes little invasion to a patient, has excellent safety, can be firmly fixed to a pelvis of the patient, can be easily removed after a surgical operation, and causes little invasion remaining in skin or bone after removal.SOLUTION: A tracker apparatus constituting a navigation system used when performing an orthopedic surgical operation comprises: a tracker unit (110) having optical markers (111) to (114); and a fixing member (120) for fixing the tracker unit (110) to a pelvis of a patient, wherein the fixing member (120) includes a helical coil having a pointed end portion (121).SELECTED DRAWING: Figure 1A

Balloon based therapy devices for treatment of diseased vessels are described. The devices are adapted for active aspiration of a closure zone prior to delivery of a closure agent. The devices may be used for treatment of diseased veins in the lower limbs and pelvis.

CT images from the neck, lung, cardiac, abdominal, pelvis, hip, spine or lower extremity areas are obtained and analyzed by a computer to measure trabecular bone density on each level it is available, in the spine and hip. Any bone tissue associated with vertebrae that is fractured is excluded, along with Schmorl's nodes, large blood vessels, and cortical bone, to accurately average the trabecular bone density on a scan. The density of fat, heart, and muscle tissue of a subject is used to calibrate the results. That data may be input to an absolute fracture risk model (Fracture Risk Algorithm calculator). Information such as bone density, T score, Z score, fracture risk, and identification of vertebral fractures (if present) may be determined and reported.