905 results about "Head and neck" patented technology

A humanoid robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a frontal shell having a rear edge, a rear shell having a frontal edge, and an illumination assembly. The illumination assembly is configured to illuminate a region that: (i) extends between a rear edge of the frontal shell and an extent of the frontal edge of the rear shell, (ii) is positioned adjacent to the extent of the rear edge of the frontal shell, and (iii) is positioned adjacent to the extent of the frontal edge of the rear shell.

A humanoid robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a frontal shell having a rear edge, a rear shell having a frontal edge, and an electronics assembly. The electronics assembly includes various components and devices used in the operation of the humanoid robot.

A humanoid robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a rear shell, and a frontal shell coupled to the rear shell to define a head volume between the frontal shell and the rear shell, and an electronics assembly with a display located in the head volume between the frontal shell and the rear shell. The frontal shell of the head housing assembly includes: a first arc length at a first location below the display, a second arc length at a second location aligned with a portion of the display, and wherein said second arc length is greater than the first arc length, and a third arc length at a third location above the display, and wherein said third arc length is greater than both the first arc length and the second arc length.

A humanoid robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a frontal shell having a rear edge, a rear shell having a frontal edge, and an electronics assembly. The electronics assembly includes various components and devices used in the operation of the humanoid robot.

A head and neck assembly for a humanoid robot, including a head portion having an exterior surface defining an overall shape resembling a human head; a neck portion extending from the head portion; a head housing assembly enclosing the head portion and neck portion; an electronics assembly contained within the head housing assembly; and a head actuator assembly configured to move the head portion relative to a torso of the humanoid robot.

A humanoid robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a frontal shell having a rear edge, a rear shell having a frontal edge, and an electronics assembly. The electronics assembly includes various components and devices used in the operation of the humanoid robot.

A humanoid robot includes an upper region with a torso, a pair of arm assemblies coupled to the torso, and a head and neck assembly. The head and neck assembly includes a neck portion coupled to the torso and a head portion coupled to the neck portion. The head portion has a head housing assembly with a first shell and a second shell defining a head volume. The first shell includes an opening with a cover extending across at least a majority of the opening. A first camera and a second camera are located within the head volume, each having horizontal and vertical fields of view exceeding specified angles. The first and second camera bodies are positioned less than 15 centimeters apart. The robot also includes a lower region with a pair of legs coupled to and spaced apart from the upper region.

A bipedal robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a frontal shell having a rear edge, a rear shell having a frontal edge, and an illumination assembly. The illumination assembly is configured to illuminate a region that: (i) extends between a rear edge of the frontal shell and an extent of the frontal edge of the rear shell, (ii) is positioned adjacent to the extent of the rear edge of the frontal shell, and (iii) is positioned adjacent to the extent of the frontal edge of the rear shell.

A bipedal robot includes an upper region includes a head and neck assembly having a neck portion and a head portion coupled to the neck portion. Said head portion includes: a frontal shell having a rear edge, a rear shell having a frontal edge, and an illumination assembly. The illumination assembly is configured to illuminate a region that: (i) extends between a rear edge of the frontal shell and an extent of the frontal edge of the rear shell, (ii) is positioned adjacent to the extent of the rear edge of the frontal shell, and (iii) is positioned adjacent to the extent of the frontal edge of the rear shell.

The invention discloses a soft tissue constitutive parameter calibration method in a soft tissue-skeleton bird body model for bird strike simulation, and the method comprises the construction of a soft tissue-skeleton bird body finite element model and finite element reverse analysis based on flat bird strike. Dividing wing bones, leg bones and head and neck parts in the bones of the bird body into hexahedral unit grids, dividing wishbones, pecking bones, fossil protrusions and ribs into shell units, and dividing soft tissues into SPH particles; further obtaining bone elastic-plastic constitutive parameters through a static compression test, and endowing the bone units with the bone elastic-plastic constitutive parameters; an objective function is set as a mean square error between a flat plate center point pressure-time curve obtained by a real bird body impact flat plate test and corresponding curve data calculated by soft tissue-skeleton bird body impact flat plate finite element simulation, and soft tissue constitutive model parameters are inversely calibrated by adopting a genetic algorithm; and model and material parameter support is provided for bird strike simulation of a high-fidelity aircraft structure.

The invention belongs to the field of blood vessel naming, and provides a head and neck blood vessel automatic naming method and system based on a CTA image, and the method comprises the steps: obtaining a head and neck CTA image, carrying out the segmentation through a pre-trained blood vessel segmentation model, generating a blood vessel mask image, and generating multi-dimensional point cloud data according to the blood vessel mask image; classifying each point by using a pre-trained head and neck branch point cloud segmentation model to obtain a point cloud classification result; constructing a feature vector based on the multi-dimensional point cloud data and the point cloud classification result, performing classification decision by using a pre-trained decision tree model, and determining a point cloud naming tag; and constructing a comprehensive feature vector according to the multi-dimensional point cloud data and the point cloud naming tag, clustering the comprehensive feature vector by adopting a constraint clustering algorithm, and correcting the point cloud naming tag according to a clustering result to obtain a head and neck vessel name. According to the method, local geometric features and spatial information of the point cloud are comprehensively considered as multi-dimensional point cloud data to correct the naming tag, and the classification precision of vessel naming is improved.

The invention relates to the field of tumor cell therapy, in particular to application of T lymphocyte chimeric with a B7-H3 receptor to treatment of head and neck tumors, and provides an anti-B7-H3 scFv, the scFv comprises a heavy chain variable region and a light chain variable region, the heavy chain variable region comprises an HCDR region and an HFR region, and the light chain variable region comprises an LCDR region and an LFR region; compared with a wild type scFv sequence, the scFv sequence has the advantage that a plurality of amino acids with positive charges in the HFR region and / or the LFR region are mutated into amino acids without charges. According to the invention, positive charge plaques on the CAR surface of an scFv sequence of a B7-H3 human-derived monoclonal antibody MGA271 are changed in a charged amino acid mutation manner, so that a B7-H3. CAR-T cell is optimized, and it is proved that the B7-H3. CAR-T cell optimized by PCP can effectively kill B7-H3 positive tumor cells in vivo and in vitro; and a new method and thought are provided for clinical targeted treatment of B7-H3 positive solid tumors.

The invention discloses a PET / CT head and neck tumor automatic segmentation method based on a fusion diffusion model, and the method comprises the steps: carrying out the preprocessing of input data, carrying out the extraction of exclusive features of a PET / CT image through CFE, carrying out the correction of the features through TAS through region / edge loss, carrying out the construction of a condition tensor through the corrected features and an original image, inputting DDPM, and carrying out the denoising of a condition, and generating a final segmentation result; according to the customized feature extraction, an exclusive extraction strategy is designed for PET metabolism and CT anatomical characteristics, the modal adaptation defect of a single encoder is made up, the pertinence and expressive power of cross-modal features are remarkably enhanced, task-oriented auxiliary supervision improves the segmentation precision through double constraints of region and edge loss, robustness is enhanced, and the segmentation efficiency is improved. A condition tensor is formed by cascading a PET / CT original image and customized features in an early channel to serve as diffusion trunk input, so that fine-grained clues are continuously transmitted in a fidelity manner in a diffusion link, small target information dilution and missing detection caused by late fusion are reduced, and the recall rate of small-size and weak-boundary lesions is increased.

The invention discloses an ergonomic pillow intelligent recommendation method and system, and the method comprises the steps: collecting a head and neck sleep video when a target user uses each candidate pillow, and obtaining a sleep analysis image of each ergonomic pillow; performing posture adjustment process image rejection on the ergonomic pillow sleep analysis image to obtain a head and neck posture keeping image of each candidate pillow; wherein the posture adjustment process image elimination is designed to screen out process images of posture adjustment of a target user; according to the user information of the target user and the position relationship between the key parts in each head and neck posture keeping image, carrying out virtual and real matching analysis to obtain each pillow recommendation parameter, and calculating a target similarity index of each candidate pillow; and obtaining a pillow recommendation list of the target user according to a sorting result of all the target similarity indexes. According to the intelligent recommendation method and system for the ergonomic pillow provided by the embodiment of the invention, the accuracy of pillow recommendation is improved.

The invention discloses a multi-mode head and neck tumor segmentation and survival prognosis prediction method. The method comprises the following steps: constructing a DE-LS-UNet model; training the DE-LS-UNet model to obtain a trained DE-LS-UNet model, and inputting the new PET image and the CT image into the trained DE-LS-UNet model to obtain a predicted tumor segmentation mask; extracting multi-modal radiomics features according to the predicted tumor segmentation mask, and fusing clinical features through the multi-modal radiomics features to generate multi-source features of the patient; inputting the multi-source features of the patient into the survival analysis model for training to obtain a trained survival analysis model, and inputting the features of the patient into the trained survival analysis model to obtain a prognosis prediction result. According to the method, a feature extraction and fusion mechanism is provided, and a survival analysis model strategy is combined, so that the stability and prediction performance of survival prognosis modeling can be enhanced while the image segmentation precision is improved.

The invention provides a quantitative risk assessment method and system for head and neck artery stenosis, and the method comprises the steps: collecting the medical image of the head and neck artery of a patient, the blood pressure of the upper arm artery, and the heart rate; a narrow local form, a cerebral artery network anatomical structure / geometric size and a microcirculation blood flow automatic regulation mechanism are comprehensively incorporated into hemodynamic analysis through a geometric multi-scale modeling technology, and information such as an arterial stenosis far-end and near-end pressure ratio, cerebral artery blood flow and hemodynamic parameters of a narrow part is output; quantitative information support is provided for risk assessment of head and neck artery stenosis; the method has the advantages that patient data are obtained only through noninvasive measurement, and the risk that complications are increased due to invasive measurement is avoided; according to the method, a geometric multi-scale modeling method is adopted to achieve integrated analysis of the three-dimensional flow field and the whole-brain circulation hemodynamic parameters of the stenosis part, the blood flow regulation effect of brain microcirculation is considered, and the physiological significance and clinical application value of the evaluation result can be remarkably improved.

The utility model provides a robot head and neck structure and a robot, the head and neck structure comprises a horizontal rotating assembly, a pitching assembly and a side swing assembly which are connected in sequence, the horizontal rotating assembly comprises a horizontal rotating driver, the horizontal rotating driver rotates around an output shaft of the horizontal rotating driver, and the axis of the output shaft of the horizontal rotating driver is a first rotating axis; the pitching assembly comprises a pitching driver, the pitching driver rotates around an output shaft of the pitching driver, and the axis of the output shaft of the pitching driver is a second rotating axis; the side swing assembly comprises a side swing driver and a crank connecting rod structure, the side swing driver is rotationally connected with the pitching assembly through the crank connecting rod structure, the side swing driver rotates around the pitching driver through the crank connecting rod structure, and the axis, rotating around the pitching driver, of the side swing driver is a third rotating axis; the three rotating axes are perpendicular in pairs and intersect at one point on the pitching assembly, flexible rotation of the head and neck structure around a center point in three degrees of freedom is achieved, and the whole structure is compact and is in a thin and long column shape.

The invention provides application of sulfasalazine and a combined drug thereof in drug-resistant head and neck malignant tumors, which comprises the following steps: when the sulfasalazine is independently used, the sulfasalazine has a treatment effect on the drug-resistant head and neck malignant tumors and can delay the growth of the drug-resistant head and neck malignant tumors; combined use of sulfasalazine and chemotherapeutic drugs has a synergistic effect, and the sulfasalazine can be used for treating drug-resistant head and neck malignant tumors. The technical problem to be solved by the invention is to explore the drug activity of sulfasalazine in the treatment of drug-resistant head and neck malignant tumors and solve the limitation of drug resistance to treatment in the drug treatment process.

The invention discloses a phosphorylated peptidomimetic compound and a medical application thereof. The invention provides a phosphorylated peptidomimetic compound with a novel structure. Activity research shows that the phosphorylated peptidomimetic compound has excellent Cbl-b inhibitory activity and is an effective Cbl-b inhibitor. Technicians in the field know that Cbl-b overexpression can inhibit T cell immune response, and inhibition of Cbl-b can activate killing of an immune system on tumor cells. Therefore, the phosphorylated peptidomimetic compound or pharmaceutically acceptable salts and solvates thereof provided by the invention can be developed and prepared into drugs for treating diseases (such as non-small cell lung cancer, breast cancer, prostate cancer, head and neck squamous cell carcinoma, liver cancer, pancreatic cancer, colorectal cancer, ovarian cancer and other tumors) treated or relieved by inhibiting Cbl-b (such as non-small cell lung cancer, breast cancer, prostate cancer, head and neck squamous cell carcinoma, liver cancer, pancreatic cancer, colorectal cancer, ovarian cancer and the like) the medicine prospect is promising.

The invention discloses an MRI (Magnetic Resonance Imaging) head and neck tumor segmentation method and system based on an SCDU-Net model, an encoder module has multiple stages of down-sampling, each stage of down-sampling comprises a residual error convolution block and a coordinate attention module connected with the residual error convolution block, and the encoder module is used for extracting multi-level features of an image and reducing spatial resolution step by step; the bottleneck module is connected with the last-stage downsampling layer of the encoder module, comprises a dense cavity space pyramid pooling module and is used for extracting multi-scale context information of a target area through a plurality of cavity convolution branches with different expansion rates; and the decoder module is connected with the bottleneck module and receives the jump connection characteristics from the downsampling layers at all levels of the encoder module, and the decoder module has multi-level upsampling and is used for recovering the spatial resolution of the characteristic pattern step by step and outputting a segmentation result image with the same size as the input image. According to the method, the head and neck tumor MRI segmentation precision and robustness are improved.

The invention belongs to the technical field of medical imaging, and relates to a method for predicting complete pathologic remission of head and neck squamous cell carcinoma and related equipment. The method comprises the following steps: respectively inputting a T1W sequence image before treatment, a T1W sequence image after treatment, a T2W sequence image before treatment and a T2W sequence image after treatment into an MR I multi-time sequence fusion module for decoupling feature extraction operation; inputting the time sequence fused T1W sequence MR I time sequence decoupling feature data and the time sequence fused T2W sequence MR I time sequence decoupling feature data into an MR I multi-sequence fusion module to carry out multi-sequence fusion operation; inputting the WSI image into a WSI feature extraction module to carry out WSI feature extraction operation; the MRI multi-sequence fusion feature data and the WSI feature data are input to an MRI-WSI multi-modal fusion module for cross fusion operation; and performing pCR prediction operation on the MRI-WSI cross fusion feature data according to a convolutional neural network and a multi-layer perceptron to obtain a pCR prediction result. The method can be independently competent for a multi-factor prediction task of pCR.

1. Name of the Design Product: Pillow (Double-peak Memory Foam U-shaped Pillow). 2. Use of the Design Product: A pillow for supporting the head and neck and protecting the cervical vertebrae. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Perspective view.

The invention is applicable to the technical field of biomedicine, and provides a preparation method and application of a multifunctional nano composite material. The material has good biocompatibility and can be used as a safe preparation for tumor treatment; the preparation is simple, green and pollution-free; the application of the quercetin in anti-tumor immunotherapy is expanded; the probe has excellent fluorescence / computed tomography dual-mode imaging performance, and can be used for determining tumor boundaries and realizing accurate treatment guidance; the nano-material has excellent photo-thermal and photo-thermal enhanced catalytic performance, has the advantages of being minimally invasive, efficient, small in toxic and side effect, controllable and the like, and can effectively treat primary, metastatic or recurrent head and neck squamous cell carcinoma by activating immunity; by inducing tumor cells to release 2 '3'-cGAMP and preventing the 2 '3'-cGAMP from being degraded, a cGAS-STING signal channel is efficiently activated, and finally the anti-tumor immune effect is enhanced.

The invention relates to the technical field of medical image processing and intelligent grading recognition of tumors, and discloses a head and neck squamous cell carcinoma early recognition method based on radiomics and deep learning, which comprises the following steps: acquiring head and neck CT (Computed Tomography), MRI (Magnetic Resonance Imaging) and PET (Positron Emission Tomography) three-mode image data; a two-stage dynamic structure alignment mechanism is adopted for registration; extracting fusion radiomics features; constructing a tumor sub-feature map; outputting a tumor level and a prediction confidence coefficient through the uncertainty prediction model; and generating a saliency interpretation heat map. In the prior art, a single-mode image or a superficial layer texture feature extraction model is depended on, and especially under the condition that a heterogeneity tumor region boundary is fuzzy and different modes have significant structure offset, high-confidence accurate discrimination of a real staging state of a tumor cannot be realized. According to the method, the accuracy of early stage identification of the head and neck squamous cell carcinoma is improved by introducing the significance guide registration mechanism and the improved graph convolutional neural network and combining Dropout reasoning.

Provided herein are methods of treating advanced solid tumors in a subject in need thereof, for example, when the subject has advanced head and neck squamous cell carcinoma, colorectal cancer, non-small cell lung cancer, and bladder transitional cell carcinoma. Also provided herein are methods of treating leukemia (e.g., acute myelogenous leukemia) in a subject in need thereof.

The present invention relates to a cervical pillow. More particularly, in order to provide comfortable sleep by ensuring that the cervical spine of a user lying in a correct posture forms a lordotic curve while the structure of the pillow does not interfere with the natural tossing and turning that occurs during sleep, the cervical pillow comprises: a correct posture support part; and a pillow body including a lateral posture support part extending in both directions from the correct posture support part, and made of a material having elasticity and resilience, wherein the correct posture support part is formed so as to be coplanar with the upper surface of the lateral posture support part and has an alignment-inducing groove recessed upwards on the lower surface corresponding to an upper surface portion where the head and neck of the user lying in a correct posture are supported.

1. The name of the design product: slow-rebound memory pillow for neck protection. 2. The use of the design product: pillow for supporting head and neck. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention provides a dysphagia preventing device special for nursing of psychiatric patients, and relates to the technical field of nursing equipment. The dysphagia prevention device special for nursing of the psychiatric patient comprises a main fixing table, a head and neck fixing mechanism, lip fixing mechanisms and a tongue fixing mechanism, the head and neck fixing mechanism is arranged on one side of the top of the main fixing table, and four sets of lip fixing mechanisms are arranged on the other side, opposite to the head and neck fixing mechanism, of the top of the main fixing table; a tongue fixing mechanism is fixedly connected to the top of the main fixing table and located among the four lip fixing mechanisms. The tongue is fixed through a tongue depressor of the tongue fixing mechanism, the suffocation condition caused by the fact that the tongue slides to the throat can be effectively prevented, the airway smoothness is ensured, automatic devices such as a motor drive device are used in the technical scheme, operation is more convenient and efficient, medical staff can quickly and accurately complete fixing and treatment operation, and the working efficiency is improved. And the working efficiency is improved.

The invention relates to the technical field of medical auxiliary tools, in particular to a head, neck and arm fixing device for chest tumor radiotherapy. According to the head, neck and arm fixing device for chest tumor radiotherapy, arms and necks of patients can be fixed more conveniently and more quickly, and time waste can be reduced. A head, neck and arm fixing device for chest tumor radiotherapy comprises a support, a cabin, an electric cylinder and the like. A cabin is fixedly connected to the top of the support, two electric air cylinders are fixedly connected to the bottom of the inner wall of the cabin, and the two electric air cylinders are symmetrically arranged. The arm fixing frame moves downwards to fix the arm of the patient on the bed, and the two neck fixing blocks rotate to fix the neck of the patient, so that the body position of the patient can be fixed quickly, the fixing steps are simplified, time waste can be reduced, and medical staff can use the body position fixing device more conveniently.

An implantable medical device includes a power element, stimulation circuitry and / or a sensor to sense physiologic information of a patient, and a housing. The housing encloses the power element and the stimulation circuitry and / or the sensor. The housing is configured to be implanted within a head-and-neck region of the patient.