849 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 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.

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.

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.

The invention relates to a head and neck tumor radiotherapy auxiliary supporting and positioning device which comprises a bed body, a movable rack, a base plate, a foaming rubber pad, a thermoplastic positioning film, a protective cover and a positioning mechanism, the movable rack is connected with the bed body in an inserted mode, the base plate is arranged on the movable rack, and the positioning mechanism is arranged at the bottom of the movable rack and comprises a lifting plate, a connecting sleeve, a supporting rod and a spring I; the supporting rod can penetrate through the hole position to support the head in advance, and the fixing assembly can lock the position of the supporting rod. The lifting plate is driven by a screw I to ascend and descend, a step rod is matched with a spring II to lock the position of the step rod, and emergency unlocking can be achieved through a traction rope between a baffle strip and the step rod. The device can realize accurate positioning of the head and the neck, improves the comfort level of a patient, is suitable for auxiliary positioning during radiotherapy of head and neck tumors, and solves the problems that an existing radiotherapy auxiliary device is complex in pre-fixing adjustment, poor in adaptability after a patient is emaciated, difficult to disassemble quickly in an emergency situation and the like.

According to the head and neck braking pillow based on the IMU sensor and the intelligent control method of the head and neck braking pillow based on the IMU sensor, the IMU sensor is arranged on a fixed neck and shoulder base to monitor the three-dimensional motion state of the head and neck in real time, meanwhile, an angle sensor is arranged at the joint of an adjustable head and neck supporting structure and the base, and real-time angle data between the adjustable head and neck supporting structure and the base are accurately obtained; the controller performs conjoint analysis on the two types of sensing data through a deep learning network, extracts head and neck posture features from a spatial dimension, captures a motion trend in a time sequence, and further generates space-time feature vectors representing head and neck dynamics; on the basis, a multi-scale motion model is constructed, motion risks of different time dimensions are quantitatively evaluated, and target angles and adjustment parameters are dynamically generated through a preset control strategy model; finally, the angle adjusting mechanism is driven to be linked with the multiple supporting layers to adjust the angle of the head and neck braking pillow. Real-time self-adaptive adjustment of the head and neck supporting angle can be achieved, and the postoperative nursing effect is improved.

The invention discloses an intelligent pillow control method and device based on self-adaptive adjustment and a medium, belongs to the technical field of intelligent air bag pillows, and aims to solve the technical problems that the supporting effect of an existing intelligent pillow is difficult to adjust, sleep quality is difficult to really improve, neck pressure cannot be well relieved, and blood circulation cannot be well promoted. The method comprises the following steps: carrying out key pressure area distribution judgment on a head area and a neck area of a user, and determining an initial head pressure area and an initial neck pressure area; initial head air bag basic parameters and initial neck air bag basic parameters are determined; carrying out area correction processing on the initial head pressure area and the initial neck pressure area; and carrying out adaptive adjustment on the initial head airbag basic parameters and the initial neck airbag basic parameters, and carrying out data fusion on the compensation airbag parameters, the variable head airbag parameters and the variable neck airbag parameters to obtain a real-time pillow airbag control strategy.

The utility model discloses a head and neck multifunctional zoning pressurizing elastic bandage which comprises a neck bandage, a first bandage, a second bandage and a third bandage are arranged on the two sides of the neck bandage, first pressurizing bags are arranged on the surfaces of the first bandage and the second bandage, and hook-and-loop fastener hook faces are arranged on one side of the first bandage, one side of the second bandage and one side of the third bandage. Magic tape rough surfaces are arranged on one sides of the other first bandage, the second bandage and the third bandage; a containing space from the lower jaw to the two sides of the earlobe is reserved through the first bandage and the second bandage, the two sides are split upwards to separate the front ear piece and the rear ear piece, and the front ear piece and the rear ear piece continue to wrap upwards to the top of the head and are fixed through the self-adhesion hook-and-loop fastener. The front and rear pieces on the two sides can be freely bonded during use to achieve different pressurizing effects; scale marks are marked on the magic tape every 0.5 cm, so that a doctor can mark conveniently, and the problem that a pressurizing part deviates due to the fact that the gauze moves in the bandage due to the chewing action is effectively solved; and the pressurization is influenced by the loosening of the bandage.