9 results about "Respiratory quotient" patented technology

The application provides a clinical marker screening method and system after metabolic response typing and application. Specifically, according to the change of metabolic indexes of normal weight people and overweight / obese people before and after meals, three clusters based on respiratory quotient (RQ) are found; the fasting fat oxidation capacity, postprandial metabolic response and postprandial blood glucose response of people belonging to different clusters also have different dynamic change patterns. In addition, key biomarkers distinguishing the three clusters are also found; the prediction model constructed by using the key biomarkers can accurately divide the subjects into three RQ clusters and can be used for predicting the results of weight loss intervention and life intervention guidance. The system constructed according to the clinical markers of the application has high sensitivity and accuracy, the indexes used are easy to obtain, and has good clinical application prospect.

The invention provides a key marker combination for individualized diet intervention decision and application thereof. Specifically, three clusters based on a respiratory quotient (RQ) are found according to metabolic index change conditions before and after meals of people with normal body weight and overweight / obese people. In addition, key biomarkers for distinguishing the three clusters are also found; a prediction model constructed by using the key biomarkers can accurately divide subjects into three RQ clusters, and can be used for predicting a weight loss intervention result, so that the prediction model can be used as a reference for providing an individualized diet or exercise intervention decision. A system constructed according to the key marker is high in sensitivity and accuracy, used indexes are easy to obtain, and the key marker has a good clinical application prospect.

The present invention relates to a method and system for predicting human metabolic rate based on indoor and outdoor air composition, which obtains the fresh air volume entering the indoor space, the number of people in the indoor space, and the height and weight corresponding to each person; obtains the concentration of a set gas, air temperature, and atmospheric pressure in the indoor and outdoor environments; converts the concentration of the set gas through unit conversion, and combines it with the air temperature, atmospheric pressure, and molecular weight of the set gas to obtain the density of the set gas. Based on the indoor pollutant diffusion equation, the production rate of the set gas by the human body in the indoor space is obtained and corrected to a value under standard conditions; according to the height and weight corresponding to the person, the body surface area of each person is obtained, and using the production rate and respiratory quotient of the set gas under standard conditions, the metabolic rate is determined based on the indirect calorimetry method, and after time-phase correction, the final human metabolic rate is obtained.

The invention provides a metabolism flexibility assessment method and system based on respiration quotients. The metabolism flexibility assessment method comprises the following steps: S1, collecting a plurality of respiration quotients, questionnaire information and body measurement data of individuals with normal, abnormal and damaged metabolism flexibility; s2, performing data preprocessing and feature extraction on the data, and constructing a metabolic flexibility data set; s3, training a plurality of machine learning models by using the metabolic flexibility data set, and adjusting and optimizing to obtain candidate models; and S4, fusing the candidate models by using a stack integration method, and constructing a metabolic flexibility evaluation model. According to the method, the respiration quotient and derivative indexes of the respiration quotient serve as core characteristics, questionnaire information and body measurement data serve as auxiliary parameters, a metabolism flexibility evaluation model is established, and non-invasive and rapid glycolipid metabolism evaluation is achieved.

The present invention provides a method for extracting metabolic adaptability based on waveform reconstruction. By means of waveform reconstruction, considering the overall change trend of the waveform, geometric figures with the highest similarity to the original waveform are cyclically searched for, so as to simplify and reduce noise by converting waveform features into graphic features, and the metabolic adaptability is extracted based on the extracted simplified figures. The measurement of metabolic adaptability is based on the respiratory quotient RQ extracted by indirect calorimetry (IC). Indirect calorimetry calculates the respiratory quotient RQ by collecting oxygen consumption VO2 and carbon dioxide VCO2. Starting from the overall waveform change trend, the present invention reconstructs the waveform into simple geometric figures, filters out noise while retaining the overall change trend, and has the advantages of good repeatability and strong anti-interference ability.

The invention relates to an evaporator defrosting method and device, a refrigeration house refrigerating system and a readable storage medium, and the method comprises the steps that a breathing quotient corresponding to a storage object in a target area and the environment humidity and the environment temperature corresponding to the target area are obtained, and the target area is the area where an evaporator is used for refrigeration; based on the respiration quotient and the environment humidity, the carbonation degree of the frost layer is determined, and based on the environment temperature, the temperature fluctuation rate in the target area is determined; based on the carbonation degree and the temperature fluctuation rate of the frost layer, a target defrosting strategy is determined, and the target defrosting strategy is a defrosting strategy matched with the carbonation degree and the temperature fluctuation rate of the frost layer in multiple defrosting strategies; and according to the target defrosting strategy, the evaporator is defrosted. In this way, the defrosting strategy can be dynamically adjusted based on the carbonation degree of the frost layer and the temperature fluctuation rate in the target area, the defrosting process can give consideration to system energy consumption and energy efficiency at the same time, and the refrigeration storage refrigerating system has the energy-saving effect.

The invention discloses a nutrition metabolism parameter real-time calculation system and method based on multi-mode measurement, and belongs to the technical field of medical health, the system collects respiratory gas through a high-speed vacuum sampling pump at the frequency of 200-500 times per second, and the oxygen consumption and the carbon dioxide emission are obtained through treatment with an accurate dilution method; three testing modes of a mask method, a face tent dilution ventilation method and a breathing machine direct connection method are supported; a self-adaptive variable coefficient control algorithm is established, when the variable coefficient is smaller than 5%, the test time is 10-15 minutes, and when the variable coefficient is larger than or equal to 5%, the test time is prolonged to 25 minutes or above; calculating resting energy consumption, respiration quotient and metabolic state based on an improved Weir formula; the urine nitrogen consumption is predicted through a gas-per-mouth correlation model, the error is controlled within 2%, and the method is high in measurement precision, wide in application range and convenient to operate, and provides a reliable basis for clinical precise nutrition support.

This invention provides a method and system for dynamic clustering and metabolic response typing based on respiratory quotient (RQ) in relation to nutritional challenges. Specifically, based on changes in metabolic indicators before and after meals in normal-weight and overweight / obese individuals, three types of RQ clusters are identified. The typing model constructed using these three clustering features can effectively classify the metabolic response of the population, thereby further predicting weight loss outcomes after weight loss intervention and also applicable to personalized lifestyle guidance. The typing method and system of this invention have high sensitivity and accuracy, and the indicators used are readily available, showing promising clinical application prospects.

FIELD: medical equipment.SUBSTANCE: device for measuring energy exchange by indirect calorimetry in animals includes a measuring chamber (1), a carbon dioxide absorber (4) and a peristaltic pump (2) for drawing air from the measuring chamber and pumping it into a sensor unit (3). The sensor unit includes a pressure sensor, a temperature sensor, oxygen concentration sensors and carbon dioxide concentration sensors. The sensor unit is connected to a carbon dioxide absorber, which is connected to a measuring chamber. The pressure sensor is connected via a feedback system to the oxygen generator (5), which is connected to the measuring chamber. The oxygen generator, peristaltic pump and sensor unit are connected to a microcontroller (6) to send data from the sensors, as well as automatically calculated values of absorbed oxygen, released carbon dioxide and respiratory quotient as an indicator of energy exchange, to the computer for recording in a file at selected intervals.EFFECT: dynamic assessment of factors influencing the physiology of an animal, with automated calculation of the volume of carbon dioxide released, the volume of oxygen absorbed by the animal per unit of time, and the calculation of the respiratory quotient.1 cl, 4 dwg, 1 tbl