42 results about "Mass index" patented technology

A non-invasive system and method are provided for determining the presence or absence of neural, muscular, soft tissue, bone or joint damage or other disease affecting a person's hand. A preferred system includes a plurality of digit contact members, one of which is engageable by the person's thumb and others which are engageable by other digits of the hand, at least one of the other digits being innervated by the ulnar nerve. Force detectors are operatively connected to at least two of the digit contact members for measuring the quantity of force applied to the respective digit contact members by at least one digit innervated by the median nerve and a digit innervated by the ulnar nerve, as they engage in a natural gripping motion. The measured forces may be used to calculate quality indices useful in the diagnosis of disease and the monitoring of progression of disease.

An object of the present invention is to provide an easy-understandable representation of fat tissue and lean tissue respectively occupying in a body constitution of a subject. Another object thereof is to help the subject determine which one of the fat tissue or the lean tissue is decreasing by weight reduction. A body type determination apparatus according to the present invention calculates an index of body fat mass, FMI (Fat Mass Index: fat mass / body height2), an index of lean mass, LMI (Lean Mass Index: lean mass / body height2), and a body build index, BMI (Body Mass Index: body weight / body height2) from entered body data and a measured bioelectric impedance, and further the apparatus displays a relationship between the BMI and the FMI and / or between the BMI and the LMI as a result of measurement by way of a graph and / or an illustration.

Methods, systems, and apparatus for quantifying the quality of a fiducial time marker for a candidate heart beat, quantifying the quality of a candidate heart beat, or determining a time of beat sequence of the patient's heart. A fiducial time marker is obtained for a candidate heart beat. A quality index of said candidate heart beat is set to a first value. The candidate heart beat is tested with at least one beat validity test. At least a second value is added to said quality index of said candidate heart beat if said candidate heart beat passes said at least one beat validity test. The candidate heart beat is tested with at least a second heart beat validity test. At least a third value is added to said quality index of said candidate heart beat if said candidate heart beat passes said at least second heart beat validity test. In one class of beat validity test, a constraint defining a pass is modified at one or more times after the most recent prior valid heart beat that is greater than a constraint modification time threshold

The invention relates to the field of power distribution network planning, and provides a power distribution network reliability evaluation method based on big data mutual information attribute reduction. The method utilizes a mutual information concept in a rough set to measure correlation among basic indexes from big data, the indexes which relate to the index with high reliability and are mutually independent are screened from various types of mass indexes, and the indexes are taken as input so as to develop power distribution network reliability evaluation work by a BP (Back Propagation) neural network model based on a genetic algorithm. The method breaks through the limitation of a traditional Monte Carlo simulation and analytical method, aims at power big data and realizes the power distribution network reliability evaluation based on the big data mutual information attribute reduction.

The invention discloses a reference-free image quality evaluation method based on image entropy. The method comprises the following steps of (1) extracting image features to be tested, and identifyingthe probability pi of each distortion type of the image to be tested by using a support vector classifier (SVC), wherein the image features include mutual information between different color channels, two-dimensional entropy of gray image and two-dimensional entropy and mutual information of filtered sub-band image; 2 respectively assuming that the images to be tested belong to a certain distortion type, calculating a score qi corresponding to the distortion type by the support vector regression (SVR), and obtaining a quality index of the image to be tested by weight sum. Experiments on LIVEand TID2013 databases show that the algorithm has good performance and consistency of subjective and objective evaluation.

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.

The invention relates to a quantitative method utilizing an equivalent rock mass basic quality index to predict shield driving parameters and relates to the geotechnical engineering and tunnel engineering investigation, design and construction technology field. According to the method, the equivalent rock mass basic quality index is taken as basis, geological segmentation of complex strata is carried out, and segmented statistics of the driving parameters is carried out; experience relationships among the driving rate, cutterhead torque and other driving parameters are calculated through gradual regression to acquire a general driving rate prediction model and a general cutterhead torque prediction model which adapt to uniform strata and the complex strata; through quantitative analysis on the corresponding relationships among a general driving rate prediction model coefficient, a general cutterhead torque prediction model coefficient and the equivalent rock mass basic quality index, the driving parameters are acquired through prediction. The method is advantaged in that the method has great theoretical meaning and engineering application values for construction scheme design, construction cost-construction period control and shield-surrounding rock interaction rule analysis.

The invention discloses an article content different automatic detection method and an apparatus thereof. The method comprises the following steps: a controller controls a sampling device to automatically sample articles on a production line; the controller controls a conveying device to convey all groups of samples collected by the sampling device to a mass index measuring device one by one; the controller controls the mass index measuring device to measure the mass index of all the conveyed samples one by one and returning the measured mass index values of the samples to the controller; and the controller determines that whether all the samples are qualified or not according to the preset article mass index value, article mass index qualification conditions and the measured mass index values of the samples. The method and the apparatus realize automatic detection of the article mass index, and have improved efficiency and accuracy.

We have identified and isolated a 12 kb region immediately upstream of the AKT1 gene containing eight single nucleotide polymorphic polynucleotides (SNPs) in 4 haplotype regions that show strong association with body composition, Basal Mass Index, and AKT1 expression enhancement in human males. A four-locus haplotype (Haplotype 2) was defined where residues within highly conserved regulatory regions were altered. This haplotype explained up to 26% of population variation in bone cortical volume, 12% of subcutaneous fat volume, and 9% of strength variation, resulting in a body build with large bones, strong muscles, and low subcutaneous fat. Other SNPs detect, presymptomatically, the potential for increased amounts of subcutaneous fat and Type II diabetes. The detection of these SNPs by the techniques described herein forms the foundation for genotype-specific clinical interventions designed to slow the rapid population increases in obesity and Type II diabetes.

An on-demand and real-time evidence based cost modeling and predictive analysis system, and a financial incentives based plan to reduce healthcare costs. An analytics system that includes a data aggregator and regression models generates incremental expenditures among overweight and obese individuals, predictive forecasts of future medical costs, and predictive forecasts of cost reduction based on financial incentives to recipients. The forecasts may include interactions, personalized variables, statistical trends, prevalence of diseases based on body mass index and / or age, and medical evidence associated with specific illnesses. A computer-based program may process and analyze variables in healthcare 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 Healthcare Individual Reimbursement Account (HIRA) managed by the recipients towards future healthcare related expenditures.

The invention relates to a BMI (body mass index) combined individual dietary energy calculation method and belongs to the field of nutriology from the aspect of application scenarios and belongs to the fields of computer science and health information from the aspect of technology implementation. The BMI combined individual dietary energy calculation method includes: firstly, calculating daily energy intake and daily energy consumption of individuals, wherein the daily energy intake is divided by the daily energy consumption to acquire dietary energy consumption ratio of the individuals; secondly, calculating the BMI of the individuals, and adopting different dietary energy calculation standards for individuals with different BMI ranges; finally, substituting the dietary energy consumption ratio of the individuals to a dietary energy calculation formula structured according to energy nutrient curves to acquire final dietary energy points of the individuals. The corresponding dietary energy calculation standards are put forwards according to acceptable daily intake of different individuals, the energy points acquired can be used for evaluating reasonableness of the dietary energy of the individuals, and more accurate and individualized effect in the aspect of dietary energy evaluation of the individuals is achieved.

The invention provides a county area plowland natural quality evaluation method and system based on random forest. The objectivity of county area plowland natural quality evaluation is improved. The method comprises the steps that all index data of all plowland pattern spots in a first county area are acquired; according to the rules of the index area of the first county area and according to the quantified interval range of each index in the first county area, the index is scored to acquire the score of the index; the score of each index is normalized to acquire each normalized index score datum; each normalized index score datum is used as input, and the natural quality index is used as output to train a first random forest plowland natural quality evaluation model; and the normalized index score of each plowland pattern spot to be evaluated in a second county area is input into the first random forest plowland natural quality evaluation model to acquire the natural quality index of the plowland pattern spot to be evaluated.

A novel venous thromboembolism risk and prognosis prediction model is produced through the following steps: (1) establishing a new special personal risk scoring model for assessing the VTE of diabetology inpatients according to the age, the gender, the duration of diabetes, the blood sugar level, the body mass index, the blood pressure, uric acid and other diabetic patient VTE related risk factors; and (2) establishing a diabetolog VTE prognosis model according to the pulmonary embolism severity index score, the dual-energy CT lung perfusion imaging relative enhancement value, the pulmonary artery occlusion index, the C-response protein, the D-dimer and other indicators. The venous thromboembolism risk and prognosis prediction model for diabetology inpatients is clinically verified to be helpful for early diagnosis and judgment prognosis of diabetic patients with venous thromboembolism, so the disability rate and the case fatality rate are reduced.

The invention provides a mattress hardness detection method and an intelligent mattress, and the method is applied to the intelligent mattress. The method comprises the following steps: obtaining thebody mass index, physiological characteristics and sleeping posture of a human body; calculating the hardness of the mattress according to a preset hardness calculation formula. By means of the mode,the hardness value suitable for a user using the intelligent mattress at present can be obtained.

The invention provides a vital index calculation method and a physical sign index instrument, the physical sign index instrument comprises upstream units and downstream units arranged at certain installation intervals, the upstream units and the downstream units are mutually related and coordinate to acquire the parameters of the vital signs like the body mass index, the body temperature, the pulse rate, the systolic pressure, the diastolic pressure, the degree of blood oxygen saturation, the blood sugar concentration and the stroke volume signal; then the parameters within the same time frameare arranged to form a vital sign array and are taken as an input value of a vital sign index algorithm, the vital index calculation method is applied to describe ten vital sign grades, namely sportsphysique 100-90, young and strong physique 90-80, healthy physique 80-70, good health state 70-60, hypofunction 60-50, frail health 50-40, medical attention 40-30, intensive care 30-20, life survival20-10, and vital sign disappearing 10-0, the above ten vital sign grades correspondingly output the normalized indexes of the vital signs, the physique is tested at any time and place, the cost is low, the scope of application is wide, a wearer does not require medical knowledge, the hard things are made simple, and the index is intuitively expressed.

Methods are provided for treating health conditions associated with altered MC4 receptor activity with melanin concentrating hormone receptor antagonists. Such compounds may be used, for example, to treat or prevent obesity and / or overeating, and to reduce body mass index, in patients carrying one or more MC4 receptor mutations.

The invention discloses a method of quickly detecting protein concentration in traditional Chinese medicine extract and application of the method. The method comprises: (a) collecting a correcting setsample; (b) detecting protein concentration in the correcting set sample by means of Coomassie brilliant blue process; (c) measuring the correcting set sample by means of Raman spectrum; (d) establishing a correcting model; (e) detecting a sample under test. The method of quickly detecting protein concentration in traditional Chinese medicine extract based on Raman spectrum provided herein is simple and quick to perform; compared with traditional protein measuring methods (chemical rendering processes), the method herein has no need for preparing a followup standard curve, has a shorter measuring time, has no need for using various chemical reagents and solvents and has good environmental friendliness. Raman characteristic spectrum of Salvia miltiorrhiza extract in an embodiment is well correlated with the protein concentration, and a measurement error is less than 10%. In the method, the mass of a traditional Chinese medicine injection intermediate in mass index control is monitoredin real time, so that safety and validity are guaranteed for a traditional Chinese medicine injection.

The present invention relates to a technique for obtaining stromal progenitor cells (SPC) from adipose tissue (AT) using incubation of very small volumes of AT with an enzyme solution, that can obtain SPC for autologous SPC-based medical applications to a greater number of individuals, possibly having a lower Body Mass Index (B.M.I), i.e. lower than 18.5.

A method and system for predicting power quality steady-state indicators, which obtain monitored historical data within a preset time period, and calculate active power within a predicted time period based on historical active power using a time series algorithm to obtain predicted active power. According to the predicted active power and historical data, the regression analysis method is used to calculate the power quality steady-state index data in the forecast period, and the predicted power quality steady-state index data is obtained. Since the active power of the power grid is relatively stable, the active power in the forecast period is predicted by using the time series algorithm according to the historical active power, and the predicted active power is obtained. Then, according to the predicted active power and historical data, the regression analysis method is used to calculate and predict the steady-state index data of power quality, which has high accuracy and can effectively predict the steady-state index of power quality, providing guarantee for the safe operation of the power grid and avoiding power quality problems. Impact.

The invention relates to an arid region dust-haze pollution early warning method based on a remote sensing technology. The method comprises the following steps: (1) arranging a server provided with adata comprehensive analysis system and a dust-haze pollution early warning system on any place with network connections in cities of an arid region; (2) converting a pixel DN value into a radiation brightness value by utilizing remote sensing image data; (3) converting the radiation brightness value into a satellite appearance reflectance; (4) programming, removing the image, and geometrically correcting the image; (5) acquiring observation geometric information and observation geometric angle file of a satellite; (6) establishing a lookup table comprising an observation geometry, surface reflectance, satellite appearance reflectance and aerosol optical thickness; (7) searching the aerosol optical thickness corresponding to a blue light waveband; (8) establishing a relation between the aerosol optical thickness and air pollution; (9) establishing an early warning grade classification standard, and identifying a dust-haze pollution grade according to an air quality index and an air particulate matter concentration value; and (10) starting the dust-haze pollution early warning. The arid region dust-haze pollution early warning method of the invention is high in accuracy and timeliness.

The invention discloses a chemical regulation method for increasing the quality and resistance of sandalwood seedlings and belongs to the field of plant growth regulation. The chemical regulation method includes: selecting and preparing a growth regulation agent, isolating host plants, applying the growth regulation agent, performing seedling management and the like. The chemical regulation methodhas the advantages that the ground diameter and canopy growth of the sandalwood seedlings can be promoted evidently, biomass accumulation is increased, seedling quality indexes (QI) are increased, the synthesizing of leaf photosynthetic pigment is promoted, the content of soluble sugar and soluble protein in leaves is increased, the net photosynthetic rate of the leaves is enhanced, the activityof antioxidant enzymes (catalase, peroxidase and superoxide dismutase) is increased evidently, membrane lipid peroxidation is reduced, stress resistance is enhanced, and economic benefits are increased to the maximum degree; the method is simple to operate, quick in action, practicable and the like.

The present invention relates to a novel biological material, especially to a chitosan nanometer suspension which is used for aspects of health food, external-used medical dressing, etc. and has mutation-resisting biological efficiency, and a preparing method thereof. The chitosan nanometer suspension of the invention comprises nanometer chotosan, dissolvent, Tween-80 stabilizing agent, etc. According to the invention, an appropriate amount of chitosan is selected according to the mass indexes of deacetylation degree and viscosity. The chitosan is dissolved in acetic acid and is neutralized. The product is degraded through radiation of cobalt 60-gamma ray. The degradation product is executed with after-treatments of high temperature, high pressure, ultrasonic, etc. Finally the Tween-80 stabilizing agent is added and homogenized, and the chitosan nanometer suspension can be obtained. The method of the invention has the advantages of easy operation, low cost, controllable reaction, no pollution and high product quality. The chitosan nanometer particles with good equality can be obtained. The chitosan nanometer suspension can be used as health food, external-use medical dressing, etc. The biological material researching about other biological effect can be furthermore executed.

The embodiment of the invention discloses a diet information determination method and device, electronic equipment and a computer storage medium. The diet information determination method comprises the following steps: collecting historical diet information and a body mass index of a user; determining a first weight coefficient corresponding to the historical diet information and a second weight coefficient corresponding to the body mass index; and determining target diet information based on a preset daily intake total calorie target, the historical diet information, the first weight coefficient, the body mass index and the second weight coefficient. According to the embodiment of the invention, the target diet information can be accurately determined, and the heat intake of the user can be reasonably controlled.

The invention relates to a military industry macro quality level evaluation method. The method includes the following steps that: (1) a military industry macro quality index system is built; (2) the weights of indexes are determined; (3) the observation variable values of the indexes are determined; (4) a method for calculating a second-level index value is determined; (5) a method for calculating a first-level index value is determined; (6) a macro quality index is calculated; and (7) the macro quality level of the military industry is compared, analyzed and evaluated longitudinally and laterally. According to the method of the invention which is a method for building the macro quality index, macro quality can be effectively and reasonably quantified, and therefore, further development of academic research can be facilitated, the method is of great practical significance for the military industry quality supervision field; the overall quality of the military industry can be known and monitored in the macro level; the development of the quality of the military industry can be promoted; and the overall quality level of the military industry can be improved.

The invention discloses a using method for an intelligent acupuncture instrument, in particular a using method for an intelligent acupuncture instrument simulating Chinese acupuncture techniques, and relates to the technical field of simulation. The method comprises the following steps: acquiring treatment techniques of famous experts or doctors for various acupuncture-applicable diseases, and establishing an acupuncture technique library, wherein the acupuncture technique library comprises various acupuncture-applicable diseases, each disease is classified according to different corresponding syndrome types, each syndrome type is classified according to different body mass indexes, the needle acupuncturing depths are converted according to the body mass indexes in order to further improve the simulation and the reliability of acupuncture and reduce the influence of different needle acupuncturing depths caused by difference of body types, the needle acupuncturing depths are controlled according to different body mass indexes, and the body mass indexes are divided into five classes according to the standard; selecting appropriate standard treatment techniques according to different conditions such as different diseases, different syndrome types and different body mass indexes of patients, and outputting and reproducing the screened treatment techniques onto the bodies of the patients in a simulation mode through a force feedback instrument. Therefore, an intelligent acupuncture technology is implemented. The using method for the intelligent acupuncture instrument has a wide application prospect.

The invention discloses a device and a method for selecting flow supply according to the quality of the flow provider. Among them, the method includes: receiving the traffic quantity and traffic price reported by each traffic provider; calculating the quality index of each traffic provider; according to the quality index of each traffic provider, adapting the traffic quantity reported by each traffic provider to the corresponding and adapt the traffic price reported by each traffic provider to the corresponding standard price; sort the traffic quantity and traffic price reported by each traffic provider based on the corresponding standard traffic and the corresponding standard price; select at least The traffic quantity and traffic price reported by a traffic provider. Through the method of the invention, enterprises using network traffic can obtain accurate information, preferentially select traffic supply with good quality, and improve processing efficiency.