1170 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.

Methods are disclosed in which a user performs head and neck exercises with head and neck exercise apparatuses. The head and neck exercise apparatus may include a moveable element that is displaced by tongue movement to a predetermined distance or with a predetermined force. The moveable element or another component of the head and neck exercise apparatus may be configured to generate audible, visible, or vibratory feedback. The head and neck exercise apparatus may be configured such that the moveable element is modifiable.

The invention discloses a wheel-foot robot, and relates to the technical field of robots, the wheel-foot robot comprises a head and neck assembly, a trunk assembly, two groups of upper limb assemblies, two groups of lower limb assemblies and two groups of wheel-foot moving bases, the wheel-foot robot is provided with stereoscopic vision, can sense the environment and recognize human beings, and two hands cooperatively execute operation tasks; precise torque sensors in the arm joints facilitate safe and sensitive interaction when physically cooperating with humans. The trunk is telescopic, and the working height can be increased. The whole robot has more than twenty degrees of freedom, has the movement functions of fast movement, agile obstacle avoidance, steady uphill and downhill, impact interference resistance and the like, is an ideal carrier for general artificial intelligence, and when the robot works in place, the jacking mechanism at the bottom of the wheel foot base can support the robot body, so that the robot can bear high-load or high-dynamic operation. The robot can be switched among a plurality of modes which are not limited to standing, squatting, moving and the like, and is suitable for a plurality of application scenes.

The utility model provides a head and neck structure of a humanoid robot and the humanoid robot, and the head and neck structure of the humanoid robot comprises a head support and a neck support which are connected with each other, and a laser radar module with a transmitting / receiving module. An intra-neck space is formed in the neck support, at least part of a transmitting / receiving module of the laser radar module is located in the intra-neck space, and at least part of the field angle of view of the transmitting / receiving module is not shielded by the head support. At least part of the transmitting / receiving module of the laser radar module is located in the neck space, the neck support is used for containing the transmitting / receiving module, and compared with the mode that the transmitting / receiving module is installed on the upper portion of the head support in the prior art, the anthropomorphism of the head and neck structure is guaranteed. Besides, when the humanoid robot is impacted by external force, the neck support can block most impact for the transmitting / receiving module, so that the transmitting / receiving module is difficult to be directly impacted by the external force, and the possibility of damage is reduced.

The present disclosure relates to a method for detecting a landmark of the head and neck based on artificial intelligence. The method includes an operation of obtaining an original computerized tomography (CT) image of a head and a neck of a patient, an operation of converting the obtained original CT image into a low-resolution CT image, an operation of detecting a first landmark by inputting the low-resolution CT image into a landmark detection model, an operation of detecting a peripheral area based on the detected first landmark of the head and neck, an operation of restoring an original CT image of the detected peripheral area, and an operation of detecting a second landmark by inputting the restored image of the peripheral area into the landmark detection model.

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 relates to the technical field of tumor radiation, in particular to a body tumor and head and neck tumor precise radiotherapy positioning device which comprises a box body, and a plurality of adjusting mechanisms are installed in the box body at equal intervals; a rubber pad is extruded by the body of a patient to incline, so that an elastic piece deforms, a connecting base is driven to rotate through the connecting base, the rubber pad is more attached to the body of the patient, supporting force is pushed through the elastic piece and a second spring, and the supporting force is more stable. When the patient lies on the elastic assemblies, a supporting plate can be pressed downwards, so that a limiting sleeve slides down in an auxiliary rod, the limiting sleeve slides down to a certain degree through a first spring and then stops sliding down, and therefore a groove fitting the shape of the patient is formed by the multiple elastic assemblies on the upper portion; therefore, the kyphobic old people can lie down well, and the patient is effectively prevented from moving randomly.

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 relates to the technical field of medical instruments, and provides an integrated wearable soft multi-mode manipulation treatment instrument, which comprises a glove main body, the glove main body is divided into five finger sleeve parts sleeved on fingers, a palm part located at the palm, a hand back part located at the hand back and a wrist part located at the wrist, a connecting disc is arranged on the outer surface of the hand back part, a vibration head is arranged on the side, away from the hand back part, of the connecting disc, and vibration is generated by a micro vibration motor in the connecting disc and transmitted to the vibration head to assist in manipulation treatment. According to the technical scheme, fixed-point or movable massage stimulation can be carried out on areas needing to be focused, meanwhile, palms and fingers can be used for implementing other treatment techniques such as pressing and kneading, the design can be easily matched with all parts of the body, especially the areas such as the perineum and the head and neck which are difficult to treat through traditional equipment, and the treatment effect is good. And the functions of heating and releasing a magnetic field for treatment are matched to form a synergistic effect, and the treatment effect is jointly improved.

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 utility model relates to the technical field of riding, and discloses a riding helmet with a safety air bag, which comprises a helmet main body, the lower edge of one end of the helmet main body is provided with an extension part, the outer side of the extension part is provided with a mounting groove, an air bag bin is mounted in the mounting groove, an air pump bin is mounted above the air bag bin, and the air pump bin is connected with the air bag bin. An air pump body is arranged in the air pump bin, a trigger device is installed at the end of the air pump body, and an air bag located in the air bag bin is installed on the trigger device. Through cooperation of the helmet body, the air pump bin, the air pump body, the air bag bin and the trigger device, the gravity center change of a rider is detected through the trigger device, and then the air pump body is started to inflate an air bag in the air bag bin, so that the head and neck of the rider are protected after the air bag is unfolded, and then the situation that the rider is hurt due to an emergency situation is avoided; guarantee is provided for the safety of a rider, and the injury risk is reduced.

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.

A support system comprising a suction device that is configured to be selectively coupled to a bracket, wherein the bracket includes a radial slot.

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 method for preparing a personalized biphasic condylar scaffold, which comprises the following steps: collecting data to separate a mandibular digital model; selecting data on the opposite side of a lesion area in the mandibular digital model, and mirror-symmetric mapping the data to the lesion area to obtain a condylar head and neck prosthesis model; designing and printing a bone phase scaffold according to the condylar tissue structure morphology; preparing a cartilage phase scaffold; spraying a dense layer on the surface of the bone phase scaffold head, connecting the cartilage phase scaffold with the dense layer by a "dissolution-adhesion" process to form a dense layer bone-cartilage composite scaffold, thereby constructing a condylar biphasic composite scaffold; and designing a retention handle on the condylar biphasic composite scaffold to construct a personalized biphasic bionic condylar scaffold, which not only solves the problem that autologous bone transplantation for temporomandibular joint reconstruction cannot restore the condylar morphology and there are complications in the bone donor area, but also solves the problem that the mechanical properties of the materials and the degradation cycle of the existing prosthesis do not meet clinical needs.

The invention discloses an AI-assisted head and neck surgery robot system based on multiple deep learning algorithms, which is applied to head and neck surgery and comprises a data acquisition and preprocessing module, an anatomical structure recognition module and a real-time reasoning and feedback module, wherein the anatomical structure identification module is used for performing multi-model processing on an original image to generate a structure model, and marking a target structure on the structure model; the data acquisition and preprocessing module is used for preprocessing data of each input stage and acquiring original data and real-time data of a user in an operation process; the real-time reasoning and feedback module is used for associating the anatomical structure recognition module with the data acquisition and preprocessing module so as to feed back information of a target structure to a user in real time; through mutual cooperation of the modules, informatization labeling and showing of the target structure are achieved, and efficient information feedback is generated in the operation process so as to assist medical staff in judging the target structure.

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 relates to the technical field of intelligent cabins, in particular to a headrest adjusting system and method intelligently matched with the height of a passenger, a follow-up adjusting module accurately adjusts the height and angle of a headrest in real time according to the height, the sitting posture and the seat state of the passenger, and the passenger height can be adjusted in real time. And it is ensured that the passengers have the best head and neck support in the driving process. The safety monitoring module continuously monitors the vehicle state and the sitting posture of the passenger, and measures are taken once abnormity is found, so that the driving safety is ensured. More importantly, the impact force calculation module can quickly and accurately calculate the impact force of the headrest on the neck of the passenger according to the acceleration of the vehicle, the collision direction and the sitting posture state of the passenger under the emergency condition that the vehicle collides. Afterwards, the impact force calculating and buffering module responds immediately, and the impact force is effectively absorbed and dispersed by controlling a buffering mechanism in the headrest, so that the passengers are protected from being injured to the maximum extent.