8 results about "General health" patented technology

An objective of the present invention is to provide a beauty level estimation system and a beauty level estimation method for calculating a beauty level of a pet animal kept by a user based on a correlation between diversity data related to diversity of intestinal microbiota of an animal and a beauty level. The beauty level estimation system includes: an acquisition unit that acquires diversity data of intestinal microbiota of a pet animal kept by a user; and a calculation unit that calculates a beauty level of the pet animal kept by the user based on the diversity data of the intestinal microbiota and a correlation between diversity data of intestinal microbiota of a pet animal and a beauty level.

A method includes contacting one or more volatile organic compounds (“VOCs”) evolved from a sample to one or more detection regions configured for sensitivity against one or more VOCs. The contacting causes a change to the detection regions that is visible to the human eye. The method also includes determining the presence or absence of a VOC by comparing the change to the detection regions to a key, with the key being a visible change. A system utilizing the method is also described.

The application discloses a kind of dynamic food nutrition loss and gain grade evaluation system and method based on food, food material (including herbal plant) ingredient content level and individual health data.System acquires food ingredient data (such as energy, protein, fat, cellulose, potassium, sodium, magnesium, additive, etc.) and individual medical index (such as blood sugar, blood pressure, blood fat, uric acid, height and weight, allergy history, etc.) data, combined with eu nutrition score standard and China's general coefficient, then dynamically adjusts coefficient weight according to individual health condition (such as high blood pressure user adjusts high iron sodium related coefficient), finally generates general health grade and personalized recommendation grade.System presents results through mobile terminal or PC terminal App, and uses encryption technology to protect user privacy.The application solves the problem of lack of individualization in existing evaluation, and provides accurate dietary health guidance for users.

The invention discloses a prediction method and system for prolonging human life years by health intervention service, and relates to the technical field of data processing, and the method comprises the steps: building a health prediction model, and according to all-cause mortality and disease morbidity data of different genders and age groups, calculating a health prediction model; predicting the death probability of the crowd of each age group, the number of years of survivors of each age group, the total number of years of survivors and the expected life; in combination with the prevalence condition of general population health risk factors and the relative risk degree of all-cause death, calculating the life number of individuals who carry out health intervention earnings on different risk factors, and calculating the overall health score of the current individual; evaluating the health condition of the current individual according to the total health score of the current individual, discovering key risk factors, and making an intervention scheme. The life expectancy of healthy or chronic disease patients can be measured and calculated, and the method is suitable for application scenes of health intervention service evaluation.

A saliva sensing device (10) for detecting oral health and / or overall health includes a chemically treated test strip (20) biomarker targeted to identify bacteria in the saliva. A breathalyzer (10) for detecting bacteria in the mouth of a user includes a housing (16), a sensor (12), and an analyzer. The sensor (12) is coupled to the housing (16) and extends outwardly therefrom for placing in the mouth of user and for collecting a saliva sample. The analyzer is for testing saliva that contacts the sensor (12).

The invention discloses a PCB general health management method based on zero-ohmic resistor time-varying information, and the method comprises the steps: densely packaging a plurality of zero-ohmic resistors on a PCB, carrying out the reverse deduction of the stress damage condition of a PCB product through monitoring the change of the resistance value of the zero-ohmic resistors, recognizing the damage degree of the product in the whole process from the crack initiation period to a permanent fault, and carrying out the recognition of the damage degree of the product. The zero-ohm resistor is used as a circuit function element to be embedded in PCB wiring, non-intrusive monitoring is achieved, the installation cost of additional devices is avoided, continuous work can be started from the production stage, the whole service life cycle of the product is throughout, the limitation that a traditional strain gauge can only be used in a specific test stage is broken through, and the test efficiency is improved. The whole-course stress damage analysis from manufacturing, transportation to actual use is provided for the product, high-density point distribution can be achieved through the micro-packaged zero-ohm resistor, a data sampling set for whole-plate stress damage analysis is formed through multi-point data association analysis, and therefore the stress concentration area is accurately positioned, and compared with a traditional single-point measurement method, the method has the advantages that the measurement accuracy is high, and the measurement cost is low. And the monitoring precision and reliability are obviously improved.

A monitoring system (10) including a wearable (12) to be worn by a user (14), a sensor (16) incorporated into the wearable (12) for detecting information relating to the user (14), a first database (18) including health data (20) related to the user (14), a second database (22) including general health data (24), and a processing unit (26) arranged in communication with the sensor (16), and the first and second databases (18) and (22) for receiving the sensed information relating to the user (14), obtaining health data relating to the sensed information from the first and second databases (18) and (22), analysing the obtained data and providing feedback (28) to the user (14) based on the analysis.