623 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 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 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 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 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.

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 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.

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.

1. The name of the design product: Bath tub headrest (air bag type). 2. The use of the design product: Placed in the bath tub or bath tub, for people to put in the head and neck of the headrest. 3. The design points of the design product: In shape. 4. The picture or photo that best shows the design points: Perspective drawing.

1. The name of the design product: pillow (horn pillow). 2. The use of the design product: pillow for supporting the head and neck of human body. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This invention belongs to the field of health pillow technology, and specifically provides an adaptive height-adjustable support frame and the adaptive height-adjustable sleep health pillow constructed therefrom. The support frame includes a base plate, a compensation edge plate, and a support panel. These three plates form an approximate "Z" structure under the action of a reset elastic element and a hinge element. The support panel is configured as a support surface that can switch between an inclined position and a flat position relative to the base plate. The health pillow includes a pillow cushion, a pillowcase, and the aforementioned support frame. The pillow cushion is installed on the support panel of the support frame, and the pillowcase is placed over the pillow cushion and the support frame. This health pillow structure can not only automatically adjust its vertical displacement according to the pressure of the head and neck, but also adaptively adjust the support surface according to the sleeping posture to ensure that it is continuously and closely fitted to the physiological curve of the human head and neck, improving the support force for the neck and head, maintaining the physiological curvature of the neck, and relieving shoulder and neck pain with long-term use, reducing the probability of stiff neck, neck fatigue, and chronic strain.

The utility model relates to an inflatable pillow, which comprises a cushion body, and the cushion body comprises a surface sheet with a first edge; the upper piece is provided with a second edge, and the second edge is connected with the first edge; the filling cavity is limited by the surface sheet and the upper sheet; the filler is positioned in the filling cavity; the supporting body is connected to the pad body and comprises a top piece with a fourth edge; the bottom sheet is provided with a fifth edge, and the fifth edge is connected with the fourth edge; a support chamber defined by the topsheet and the backsheet; the air inlet and outlet valve is in fluid communication with the supporting chamber and is used for inflating and deflating the supporting chamber; wherein the surface piece is connected with the upper piece so as to limit the position of the filler. The inflatable pillow has the effect of improving the stability of the supporting effect of the inflatable pillow on the head and neck of a user.

Disclosed herein are compositions and methods for treating head and neck squamous cell carcinoma.

1. The name of the design product: cervical pillow (one type). 2. The use of the design product: used for sleeping on the head and neck, managing cervical vertebrae and sleeping. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This application discloses a head-mounted neck and shoulder restraint device, relating to the field of medical protective equipment technology. It includes a helmet, face protector, neck protector, and shoulder pads. The face protector is rotatably mounted on the front side of the helmet. The helmet, from the outside in, comprises a hard leather outer layer, an engineering mesh plastic shell middle layer, and a breathable sponge inner layer. The neck protector is fixed to the helmet and tightened with Velcro. The shoulder pads are located on both sides of the helmet and are equipped with straps. This application utilizes the helmet to cushion and protect the head of agitated mental patients who may bump their heads, preventing head injuries. Simultaneously, the face protector, neck protector, and shoulder pads prevent patients from biting themselves or others, thus effectively restraining the patient while protecting both the patient and others from harm.

The invention relates to an application of a DNAJB4 gene and an encoding protein thereof in preparation of a product for enhancing cancer radiotherapy sensitivity. The DNAJB4 gene provided by the invention is closely related to cancer radiotherapy sensitivity, and overexpression of the DNAJB4 gene is positively related to radiotherapy sensitivity of head and neck squamous cell carcinoma, cervical cancer or breast cancer. A product prepared from the target DNAJB4 selectively degrades DNA-PKcs through a CMA way, high specificity is achieved, and toxicity to normal tissue can be reduced; the radiotherapy remission rate of a patient with high DNAJB4 expression is obviously improved (clinical queue data); the combined treatment prolongs the median lifetime of the mouse model; the drug resistance risk can be reduced by combining with existing therapies (radiotherapy and immunotherapy).

The radiation protection head and neck sleeve convenient to wear comprises a head protection part, a neck protection part is integrally formed at the lower end of the head protection part, a neck opening extending to the head protection part is formed in the front side of the neck protection part, a zipper is arranged in the neck opening, and the neck protection part is connected with the head protection part. A face opening is formed in the surface of the front side of the head protection part, a face protection part is arranged in the face opening, the head protection part and the neck protection part are both made of flexible materials, the head protection part and the neck protection part are integrally formed, and the neck opening is combined with the convenient wearing and taking-off design of a zipper, so that the pillow is matched with the physiological structure of the head and the neck of a human body; the wearing efficiency is improved, the key areas of the head and the neck can be fully covered through the integrated structure, the radiation leakage risk is reduced, and the comprehensiveness of radiation protection and the wearing convenience are balanced.