188 results about "Body mass index" patented technology

Present invention is a system of blood glucose monitoring and intensive insulin therapy in a ICU for strict maintenance of normoglycemia which reduces intensive care and hospital mortality and morbidity of critically ill adult patients. The findings of present study also reveal factors determining insulin doses needed to maintain normoglycemia as well as the impact of insulin dose versus blood glucose level on the observed outcome benefits have been established. The invention provides a control system that adapts the flow of the insulin infusion based on insulin requirement calculated by blood glucose levels and clinical parameters such as history of diabetes, Body Mass Index, blood glucose level on admission, reason of ICU admission, time in the ICU, type and severity of illness, caloric intake, obesity, drugs affecting insulin sensitivity). This automated insulin monitoring systems significantly reduces the workload and human resource management problems for intensive insulin therapy in patients in the ICU.

An apparatus and method for measuring the key elements of human primary health is disclosed. The apparatus is in the form of a medical diagnostics unit capable of measuring Electrocardiogram (ECG), height, weight, body mass index (BMI), body temperature, hearing efficiency, lung function, pulse, blood oxygen levels, blood pressure, urology and vision testing. The medical diagnostics unit includes an enclosure with a data card and/or fingerprint entry. The enclosure includes medical measuring devices which allow a patient to follow instructions on a touch screen visual display unit to conduct the desired tests and obtain the patient's health information. This information is stored locally as well as being transmitted to a doctor for review and evaluation. The automated medical diagnostics unit reduces the staffing requirements to obtain a patient's basic health information.

A system includes a parameter generation system to determine parameters of at least one phase of an injection procedure based at least in part upon a type of the injection procedure. The parameter generator system determines the amount of a pharmaceutical that is to be delivered to a patient at least in part on the basis of the concentration of an agent in the pharmaceutical and at least on part on the basis of a function that depends upon and varies with a patient parameter. The patient parameter can, for example, be weight, body mass index, body surface area or cardiac output. The pharmaceutical can, for example, include a contrast enhancing agent for use in an imaging procedure.

An evidence based cost modeling and predictive analysis system, and an incentives based plan to reduce healthcare costs are disclosed. An analytics system may generate incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecast of cost reduction based on financial incentives to recipients. The forecasts may include statistical trends, prevalence of diseases based on body mass index, and medical evidence associated with specific illnesses. A computer based program may process and analyze dependent and independent variables in electronically stored information (for example insurance, health and medical records). A health insurance provider may provide an annual rebate on paid premiums to recipients based on a qualifying annual BMI as an incentive. The recipients may receive the rebates in a qualified health reimbursement account (HRA) managed by the recipients towards future healthcare related expenditures.

Low-level laser therapy is applied externally through the skin of the patient to targeted areas of a of a patient's body to treat diabetes or prediabetes. A patient is first diagnosed with diabetes or prediabetes, preferably by blood draws that measure insulin, A1C, or glucose levels. A therapeutic amount of laser energy to apply is determined from a patient's biological factors such as body mass index. The therapeutic amount of laser energy is applied one or more times over a two week time period. The patient is then retested for diabetes or prediabetes. If necessary, a new therapeutic amount of laser energy is determined according to any changes in the patient's diabetes or prediabetes diagnosis and any changes in the patient's biological factors. Adjusted treatments with low-level laser energy continue until the diabetes or prediabetes diagnosis is removed.

The present invention relates to the use of genetic variants of associated marker genes to predict an individual's response to diet. The present invention further relates to analytical assays and computational methods using the novel marker gene set. The present invention has utility for developing personalized diet regimens to optimize physiological response, including changes in body mass index (BMI) and blood lipid and triglyceride levels.

An embodiment of the invention discloses a method and a device for establishing a blood pressure model. The method comprises steps as follows: pulse wave data, electrocardiogram data, blood pressure data and body mass indexes of multiple detected bodies are acquired, wherein the blood pressure data comprises systolic pressure data and diastolic pressure data; pulse wave transmission time and a pulse wave intensity ratio are determined on the basis of the pulse wave data and the electrocardiogram data; a systolic pressure model indicating a relationship among the systolic pressure, the pulse wave transmission time and the body mass indexes is established according to the systolic pressure data, the pulse wave transmission time and the body mass indexes; a diastolic pressure model indicating a relationship among diastolic pressure, the pulse wave intensity ratio and the body mass indexes is established according to the diastolic pressure data, the pulse wave intensity ratio and the body mass indexes, wherein the systolic pressure model and the diastolic pressure model constitute the blood pressure model.

The invention relates to an electric running machine provided with an exercise effect evaluation system, belonging to the fitness equipment. The electric running machine provided with the exercise effect evaluation system adopts such three speed control modes as the obesity degree measure and calculation mode, the body mass index (BMI) value measure and calculation mode and the heart rate zone measure and calculation mode. The actual height, weight, name and age of the runner can be inputted by the runner by using the press keys arranged on an instrument panel. The standard weight, obesity degree, weight range, BMI and maximum heart rate of the runner can be measured and calculated according to the calculation formula in the exercise effect evaluation system by using the exercise effect evaluation system. The conclusion of the BMI can be calculated and displayed by a display window to the operator, and exercise formulas P1-P6 which correspond to the electric running machine can be automatically selected by a scientific running exercise guidance system. The electric running machine provided with the exercise effect evaluation system can achieve the scientific running exercise and more effectively improve the running exercise effect.

A Health Tracking Program of the invention is software that can read exercise equipment devices such as pedometers, weight scales, pulse monitors and calorie meters. User data is imported and exported to the software where it is displayed in a useful manner to indicate how a user is progressing. Users can input their own information such as weight, caloric intake, caloric expenditure, body mass index and activities performed. Software can upload selected user data to the internet.

A body mass diagnostic system comprising input means for entry of at least one of weight data and other data and a computing device in communication with the input means. The computing device comprising a body mass index module for generating a BMI result for evaluation by a physician and a diagnostic module for generating a diagnostic result based at least on the BMI result and direction from a physician, for at least one patient to implement.

The invention relates to a combination of multiple genetic single nucleotide polymorphisms and environmental factors related to a coronary heart disease and application of the combination. The genetic single nucleotide polymorphisms comprise the following locus: rs2123536, rs18422896, rs9349379, rs9268402, rs12524865, rs10757274, rs1333042, rs7136259 and rs11066280; and the environmental factors comprise individual smoking, drinking and body mass index information, and blood gloucose and high density lipoprotein cholesterol value in venous blood. Based on the combination factors, a prediction model for individual level coronary heart disease is established, and the combination of the multiple genetic single nucleotide polymorphisms and the environmental factors related to the coronary heart disease has an important application prospect in assessing the coronary heart disease risk for people.

The invention discloses an electronic scale system with a wireless transmission function. The electronic scale system with the wireless transmission function is characterized by comprising a weighing unit, a cloud part and a mobile terminal, wherein the weighing unit serves as a scale body and comprises a main control panel, a wireless communication module, a display screen, a power source, buttons, a BIA detecting unit and a weighing sensor, the wireless communication module, the display screen, the power source, the buttons, the BIA detecting unit and the weighing sensor are respectively connected with the main control panel, an electrode plate is connected on the BIA detecting unit, a stress mechanism is connected on the weighing sensor, the cloud part comprises a cloud server and a wireless access point connected with the cloud server, the weighing unit is provided with an independent internet protocol (IP) which is used for being identified by the cloud part and the mobile terminal, the scale body can measure the weight, fat percentage, water percentage, muscle percentage, human-body bone content, visceral fat percentage or body mass index (BMI) value of a human body, the data can be transmitted by the wireless communication module, and the data are received by the wireless access point of the cloud part. Management software is arranged inside the cloud server, independent management files are established as each IP is independently matched with the scale body, and the data are stored. A terminal account can receive data of the scale body with the corresponding IP from the cloud part through a server.

A computerized system and method for estimating levels of obesity in an insured population using claims data. The model uses health risk assessment data comprising age, height, and weight information as well as information about health conditions and health behaviors for a member population. Claims data is used to train a two-stage model on the member population. The first stage comprises a support vector machine, a rule-based module, and a generalized linear model that estimates the probability of obesity. The second stage comprises a regression neural network that operates on the output of the first stage and a subset of the input feature vector. Cost and utilizations in these areas, along with overall health measures as well as demographics and social factors, are inputs to a set of pattern recognition engines that perform regression. The output is the estimated body mass index of the member.

The invention provides a chronic obstructive pulmonary disease detection system based on a deep neural network. The system comprises a preprocessing module, which is used for carrying out gray-scale treatment on an obtained chest CT image of a first patient and extracting a plurality of pulmonary lobule area images of the chest CT image obtained after gray-scale treatment; and a detection module,which is used for inputting obtained body mass index BMI of the first patient and the plurality of pulmonary lobule area images into a trained deep neural network model, and obtaining probability of the first patient in getting the chronic obstructive pulmonary disease. The chronic obstructive pulmonary disease detection system based on the deep neural network, through combination of the deep neural network and medical images, and with clinical experience knowledge obtained by diagnosing the COPD manually being as prior knowledge, carries out detection on early-stage pulmonary lobule small lesions, and carries out highly-reliable prediction on the cases, thereby improving COPD detection accuracy.

Exemplary embodiments of the present disclosure are directed towards a system and method for measuring segment parameters of a human body for recording a body mass index. The method includes a digital weighing scale configured to measure a weight of specimen and the measured weight of the specimen instantly transmitted to a server along with an identical time, an image capturing unit positioned in a predetermined distance away from the digital weighing scale at a preferred location for capturing an image of the specimen, a face recognition unit triggered by the digital weighing scale for comparing the image captured by the image capturing unit with the predetermined data provided by the specimen, a height strip placed vertically on the digital weighing scale configured to measure a height of the specimen, a body mass index calculating unit configured to calculate a body mass index of the specimen with the weight and the height measured by the digital weighing scale and the height strip and a data repository unit configured to store dynamically the measured data of the specimen.

Disclosed is a maternity biodata measurement system, wherein a sum of a pre-pregnancy energy expenditure and a pregnancy extra energy amount of a subject is determined as an energy amount necessary for the subject in a pregnancy period. In particular, the pregnancy extra energy amount is determined based on pre-pregnancy body-mass index data and elapsed pregnancy-period data about the subject, so as to allow the necessary energy amount to be determined as a value appropriate for the subject. The maternity biodata measurement system of the present invention makes it possible to measure a necessary energy amount for a pregnant woman on an individual basis.

A device for measuring the Body Mass Index (BMI) of an adult, providing a measure of weight for height. The device allows for an easy and quick determination of BMI or the adult weight status. The device consists of a hand held slide ruler instrument on which a combination of an adult's weight and height immediately indicates the corresponding BMI. Using this device, an adult over 18 years old can determine how much weight he/she would need to lose or gain in order to achieve normal weight, as specified by the current US government guidelines.

The invention relates to a method and a system for controlling an air conditioner by using body data. The method comprises the following steps: the body data of users is obtained, and comprises a body fat rate or a body mass index; a heat scaring degree of the users is calculated according to the body data; and an operation mode of the air conditioner is adjusted according to the heat scaring degree of the users. The method uses such intelligent equipment as an intelligent electronic weigher for acquiring such user body data as user sex, user height, user weight and body fat rate, and uses an algorithm for calculating the heat scaring degree of the users to control the operation mode of the air conditioner and to adjust the temperature of the air conditioner, the humidity of the air conditioner, the air volume of the air conditioner, the opening/closing time of the air conditioner and the continuous temperature change curve of the air conditioner; for all groups with different body fats and different body components, the method is obviously better than a traditional air conditioner temperature control mode in use comfort, so that the air conditioner is more comfortable in use under multi-person environment; and meanwhile, the operation process is simple, the control result is accurate, the application range is wide, and the commercial value is higher.

The invention discloses bifidobacterium animalis NX-6 and application thereof in preparation of lipid-lowering and weight-losing medicines, and belongs to the technical field of microorganisms. The preservation number of the bifidobacterium animalis NX-6 disclosed by the invention is CGMCC (China General Microbiological Culture Collection Center) No. 20114. The uninactivated and inactivated fermentation supernate, bacterial suspension and cell disrupted supernate of novel bifidobacterium animalis NX-6 show good effects of slowing down weight and body length increase, improving body mass index(BMI) and reducing fat area percentage on zebrafish, and have a potential weight losing effect; triglyceride (TG) and total cholesterol (TC) in a zebrafish hyperlipidemia model body can be obviously reduced, and a good hypolipidemic effect is shown. The novel bifidobacterium animalis NX-6 disclosed by the invention has a huge potential application prospect in the aspect of preparing medicines fortreating and/or preventing obesity and hyperlipidemia.

A system and method for classifying the optimization of safety features on a vehicle for a vehicle passenger based on the passenger seating position and passenger body mass index. The method includes determining a number of basic passenger sizes based on the passenger height and mass and determining a number of passenger seating positions. The method further includes identifying a set of tunable design variables that are used to adjust the vehicle safety features, and performing design optimization analysis for identifying optimal designs, called basic optimal designs, for the vehicle safety features for each of the basic passenger sizes and the predetermined seating positions. The method identifies the design from the basic optimal designs that provides the best performance for randomly selected reference passengers in randomly selected seating positions, and classifies all passengers in their actual seating positions into one of the predetermined number of classifications where each classification represents a particular basic optimal design.

The gestational wheel calculator of the current invention greatly extends the function and usefulness of the basic gestational calculation wheel by providing increased accuracy of gestational dates by using an average cycle length adjuster, provides paternity information using a sperm exposure marker, provides more accurate ultrasound and other test measurements by using scales printed parallel to gestational age, and provide a means of accurately aligning these measurements with the proper calendar or gestational date by including a transparent marker arm. In addition, normal range and error functions are included on the marker arm. A one-fourth year window is used to increase the surface area of information available for viewing charts, tables, and promotions on the underlying base plate. Easier reading of the calculator is provided by special markers for the first day of each calendar month and by providing sub-marks for each day within a gestational week. Scheduling conflicts are improved by providing a weekday scale covering the entire nine month duration of pregnancy. The other side of the gestational wheel can be used to provide additional promotional or informational items including rotating transparent windows to display additional surface area, to provide means of calculating algorithm solutions for body mass index, and display observational data for EFW, delta OD 450, and AFI.