19 results about "Anthropometric data" patented technology

Disclosed herein are systems, methods, and devices for an image-based, computer vision approach for anthropometric measurement of a user using an automatically generated three-dimensional model of the user. Also disclosed herein are systems, methods, and devices associated with a telehealth proctoring platform that can be used to remotely proctor, monitor, and manage patients over the course of a medical treatment plan. The telehealth proctoring platform may be used to collect and retrieve various kinds of data associated with a patient, such as at-home diagnostic test data, the anthropometric measurements of the patient, or the generated three-dimensional models in order to remotely monitor and track changes to the body of a patient over time and make dynamic adjustments to the patient's medical treatment plan.

An interpupillary distance estimation method is implementable by an electronic computer and includes the operations of acquiring at least one 2D image of a user's face, locating on the 2D image two reference points corresponding to the pupils of the user, and measuring the distance in pixels between the two reference points. The method further includes measuring the diameter in pixels of the user's iris, and calculating the pixel-to-millimetre conversion ratio between a predetermined iris diameter expressed in metric units and the iris diameter measured in pixels. The predetermined pupil diameter is set equal to the value of the iris diameter most widespread in the world population according to data contained in an anthropometric database. A first estimation of the interpupillary distance is determined by multiplying the distance in pixels between the two reference points corresponding to the user's pupils by the pixel-to-millimetre ratio calculated previously.

A method for the automatic adjustment of a cockpit inside a road vehicle comprising the steps of determining anthropometric data of a driver; processing an ergonomic position of a model of the driver sitting on board the road vehicle; processing an optimal configuration of the cockpit; operating a plurality of actuator systems so as to cause the cockpit to reach the optimal configuration; wherein the ergonomic position of the model is processed in association with a minimum ground visibility; a minimum visibility of a control panel; and at least one first comfort angle of a body joint of the driver.

A user interface for a surgical robotic system includes a plurality of handles, each removably attachable to a user interface assembly by a quick release connector. The selection of handles can include handles of varying size, degree of complexity, handles adapted for laparoscopic motion, handles adapted for true cartesian motion or handles customized to surgeon anthropometric data, etc.

The invention discloses a long-term prognosis prediction system and method for patients with liver diseases, and the method comprises the following steps: S1, collecting clinical data, including anthropometric data, vital signs, laboratory data and albumin binding capacity obtained by specific detection, of patients with acute decompensation of liver cirrhosis and chronic plus acute liver failure; s2, a competitive risk model for predicting death of patients suffering from acute decompensation of liver cirrhosis and chronic and acute hepatic failure after admission for one year is constructed, the prediction model is constructed by adopting the competitive risk model, and a convenient prediction tool is made by adopting a dynamic column diagram visual prediction model; and S3, evaluating the prediction performance of the model through the working curve of the subject. According to the present invention, the index relationship between the albumin binding capacity and the long-term prognosis of the decompensated liver cirrhosis patient and the chronic plus acute liver failure patient is established so as to provide the important clinical significance, such that the clinical management can be further optimized, and the drug treatment can be guided.

A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.

The invention discloses an acupoint positioning method, device and equipment. The method comprises the steps of obtaining acupoint information of a plurality of to-be-positioned acupoints of a target human body and human body measurement data of the target human body; based on a preset acupoint positioning model, obtaining first calculation position information of a plurality of to-be-positioned acupoints of the target human body according to the human body measurement data; the first calculation position information is projected on the target human body by the preset mixed reality equipment; acquiring actual position information of a first gradient acupoint in the plurality of to-be-positioned acupoints; the actual position information of the first gradient acupoints refers to position information of qi obtaining reaction generated when the corresponding first gradient acupoints are stimulated; and adjusting the positions of a second gradient acupoint and a third gradient acupoint in the plurality of to-be-positioned acupoints according to the actual position information of the first gradient acupoint to obtain second calculation position information. According to the method provided by the invention, accurate positioning of the acupoints can be realized based on objective and quantitative standards and judgment.

The invention relates to the technical field of human body data checking, and discloses a method for checking human body measurement data of maintenance personnel, which comprises the following steps of: measuring and collecting data influencing the human body of the maintenance personnel during maintenance operation; performing historical experience screening, average value screening and multi-index association screening on the data; carrying out data statistics on the screened data, wherein the data statistics comprises calculation of a minimum value min, a maximum value max, a mean value mu, a standard deviation sigma and a plurality of percentile numbers; performing two-stage data checking on the statistical data; and inputting and storing the data passing the two checks so as to be conveniently applied to subsequent related fields. According to the method, the problem that a traditional checking method is insufficient in reliability is solved, high-quality data support is provided for maintenance scene human factor engineering analysis, meanwhile, hidden dangers such as maintenance scheme errors and personnel health risks caused by data problems are reduced, and the method has remarkable engineering practical value and popularization significance.

The disclosure relates to studying physical properties of biological tissues, and for example, to a method and system for indirect estimation of the abdominal subcutaneous fat area and the abdominal visceral fat area. The technical result is reduced complexity and increased accuracy and speed of estimation of the abdominal subcutaneous fat area and the abdominal visceral fat area with portable devices. A method for determining the abdominal visceral fat area and the subcutaneous fat area in a body section in an abdominal region, comprises: using a device with ultra-wide band (UWB) radar applied to the body in the abdominal region, emitting radiation into the body and measuring parameters of reflected radiation; based on the reflected radiation measurement data obtained by the UWB radar, determining the abdominal subcutaneous fat area (ASFA) in the body section, corresponding to the measurement point; acquiring anthropometric data and bio-electrical impedance value of the body; based on the bio-electrical impedance data of the body and the anthropometric data, determining total fat area (TFA) in the body section in the abdominal region; calculating the abdominal visceral fat area (AVFA) in the body section from the determined total fat area and the abdominal subcutaneous fat area.

The invention discloses a long-term prognosis prediction system and method for decompensated liver cirrhosis patients, the prediction system is based on human serum albumin Cys-34 site modification typing, and comprises a data collection module, a model construction module and an evaluation prediction module, the data collection module is used for collecting clinical data of the decompensated liver cirrhosis patients, the model construction module is used for constructing a model, and the evaluation prediction module is used for evaluating the clinical data of the decompensated liver cirrhosis patients. Comprise anthropometry data, vital signs, laboratory data, and the level of the original subtype of the human serum albumin and the effective albumin concentration obtained by specific detection; the model construction module is used for constructing a model for predicting death of acute decompensated patients suffering from cirrhosis one year after admission of hospitals; and the evaluation and prediction module is used for evaluating the prediction performance of the model through the subject working curve. According to the present invention, the index relationship between the effective albumin concentration and the liver cirrhosis acute decompensation long-term prognosis is established, such that the important clinical significance is provided, the clinical management can be further optimized, and the drug treatment can be guided.

The invention is suitable for the technical field of intelligent dressing, provides a dressing recommendation method and system based on 3D human body measurement, and realizes dynamic optimization of sportswear recommendation by combining 3D human body measurement data of a user and historical operation data of wearable equipment. Acquiring a basic flexibility parameter according to the target exercise item and the core exercise part of the user; through motion trend analysis, the decreasing rate of the motion duration of the user is extracted as a first optimization factor; the motion trend and the fatigue state of the user are effectively combined, and multi-dimensional dynamic adjustment is achieved. Compared with the prior art, the method has the advantages that the current body state and the future exercise requirement of the user are accurately adapted, the recommended sportswear is more scientific and better meets the actual requirement, and meanwhile the wearing comfort and the functional experience of the user are improved.

This invention discloses a risk prediction device and storage medium for metabolic-associated fatty liver disease in children or adolescents. The two-stage cascaded screening strategy and model of this invention provide a highly accurate, accessible, and scalable solution for the early identification of metabolic-associated fatty liver disease in children or adolescents. This invention utilizes different anthropometric data to identify high-risk groups in routine school physical examinations, followed by further screening using a comprehensive serological index at community health centers, thereby achieving accurate diagnosis of metabolic-associated fatty liver disease and providing clinicians with a non-invasive auxiliary diagnostic tool that combines high precision, high accuracy, and broad accessibility.

A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.

Apparatuses, systems, and methods for providing personalized online product try-on are disclosed herein. In various embodiments, a personalized shopping system includes: an automatic shopping assistant that accesses product data; a matching system accesses historical data, preference data, and / or anatomical data measured using an automated shopping assistant device, where the personalized shopping system may generate personalized matches based on the historical data, preference data, and / or anatomical data. The automated shopping assistant device may include a depth sensor and / or an image scanner capable of capturing various 2D and / or 3D models. These models may be used to generate anatomical data. The anatomical data may be used to virtually attempt various items. Products may be personalized based on the historical data, preference data, and / or anatomical data.

A method of manufacturing a patient interface for sealingly delivering a flow of air to an entrance of a patient's airways at a continuous positive pressure relative to ambient air pressure includes collecting anthropometric data of a patient's face. An anticipated consideration is identified from the anthropometric data collected during use of the patient interface. The collected anthropometric data is processed to provide a transformation data set based on the anticipated consideration, the transformation data set corresponding to at least one custom patient interface component. At least one patient interface component is modeled based on the transformation data set.

The invention belongs to the technical field of physique anthropology methods, and particularly relates to a resting metabolic rate measuring method based on a digital anthropometric phenotype. The method comprises the following steps that the human body resting metabolism rate serves as a dependent variable, digital human body measurement phenotype data serves as an independent variable, a machine learning model is constructed, the deviation between a predicted value and a true value is minimized through model training and parameter iteration adjustment, and finally an accurate resting metabolism rate prediction model is constructed. And based on a machine learning model obtained by training a large number of real data samples, calculating the resting metabolism rate by taking the digital human body measurement data as an input value. According to the method, extra operations such as inspiration and expiration, wearing of a breathing gas analyzer and the like are not needed, and compared with an existing resting metabolism rate prediction formula, the method has higher prediction precision, can fully utilize a digital human body measurement phenotype, is simpler and more convenient to operate and lower in cost, and has remarkable practical value.

System (10) for a vehicle (12), wherein the system (10) comprises the following: a seat belt height adjustment device (14); a sensor (60) designed to determine the eye position (L) of a driver (80) of the vehicle (12); and a control module that is connected to the sensor 60) and the seat belt height adjustment device (14); wherein the control module is programmed to set a position of the seat belt height adjustment device (14) at least on the basis of the eye position (L); and the control module is programmed with anthropometric data and is programmed to at least compare the eye position (L) with the anthropometric data in order to calculate the position of the seat belt height adjustment device (14); and wherein the control module is programmed to determine a regression model of the anthropometric data and the eye position (L) in order to calculate the position of the seat belt height adjustment device (14) on the basis of the regression model.

The invention discloses an outdoor jacket virtual three-dimensional fitting system, and belongs to the technical field of outdoor jacket virtual fitting, and the system comprises a three-dimensional model construction unit which is configured to collect and process outdoor jacket real-time point cloud data and construct an outdoor jacket virtual three-dimensional model; the human body model matching unit is configured to accurately match the outdoor jacket virtual three-dimensional model with human body measurement data; the virtual three-dimensional fitting unit is configured for a user to carry out virtual reality three-dimensional fitting experience on the outdoor jacket, simulate the texture of the jacket and fitting actions and check the dynamic effect of the outdoor jacket; and the automatic size recommendation unit is configured to automatically recommend the optimal virtual reality three-dimensional fitting size of the outdoor jacket to the user. According to the invention, the problems of poor shopping experience and high return rate of consumers caused by incapability of enabling users to perform fitting experience in a virtual environment in the prior art are solved. According to the invention, the user can perform fitting experience in the virtual environment, the shopping experience of consumers can be effectively improved, and the return rate is reduced.

The invention relates to the technical field of medical data processing, and discloses a diabetic nephropathy risk assessment method and model. The method includes collecting time sequence medical data of a diabetic patient, including blood detection values, anthropometric data, and diagnosis and treatment records. For each point in time, feature elements are extracted and a temporary risk estimate is calculated. And connecting a historical medical database, matching similar patient categories, and correcting the temporary estimation value by using the risk history to obtain a unified risk estimation value. And calculating a difference value between the temporary estimation value and the unified estimation value as an accuracy index. And predicting the future nephropathy risk grade of the patient in combination with the accuracy index and the characteristic time sequence change. According to the method, individual assessment is calibrated through group historical data, the built-in accuracy index is generated, and the accuracy of risk assessment and the reliability of clinical decision making are improved.