Metabolic rate detection method and detection apparatus

Abstract

The invention provides metabolic rate detection method and detection apparatus. The metabolic rate detection method comprises the following steps: detecting characteristic light of oxyhemoglobin at asampling site by adopting the metabolic rate detection apparatus; obtaining a time-absorbance curve and a time-absorbance change rate according to absorbance curve of the oxyhemoglobin or the deoxyhemoglobin; and then, obtaining metabolic rate of the sampling site by combining the time-absorbance curve and the time-absorbance change rate with other parameters. The metabolic rate detection apparatus comprises a pressure regulation device, a detection device and a central processor; the pressure regulation device and the detection device are respectively connected with the central processor; thedetection device is used for detecting the characteristic light of the sampling site, as well as sending the characteristic light to the central processor; and the central processor controls pressurization and pressure relief of the pressure regulation device. The metabolic rate detection apparatus is capable of indirectly measuring metabolic rate of the human body; and moreover, the metabolic rate detection apparatus has less interference factors, and is high in accuracy.

Description

technical field [0001] The invention relates to a method and a device for detecting the metabolic rate of a human body. Background technique [0002] At present, the commonly used methods for measuring metabolic rate include direct calorimetry, indirect calorimetry, double-labeled water method, heart rate monitoring method, formula prediction method, etc. The principle of direct calorimetry is simple and the result is accurate, but the cost is expensive and the technology is complicated. Limitations. Indirect calorimetry is the method of measuring gas metabolism to indirectly measure energy consumption. Because the measuring instruments are quite expensive and the operation is complicated, it is difficult to achieve general application. The most typical energy metabolism measurement system (metabolic car) is currently recognized as a clinical method. It is the gold standard for measuring basal metabolic rate in the world, but it is difficult to guarantee the accuracy of the ...

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Problems solved by technology

[0002] At present, the commonly used methods for measuring metabolic rate include direct calorimetry, indirect calorimetry, double-labeled water method, heart rate monitoring method, formula prediction method, etc. The principle of direct calorimetry is simple and the result is accurate, but the cost is expensive and the technology is complicated. Limitations. Indirect calorimetry is the method of measuring gas metabolism to indirectly measure energy consumption. Because the measuring instruments are quite expensive and the operation is complicated, it is difficult to achieve general application. The most typical energy metabolism measurement system (metabolic car) is currently recognized as a clinical method. It is the gold standard for measuring the basal metabolic rate in the world, but it is difficult to guarantee the accuracy of the formula to predict the basal metabolic rate due to regional differences and individual differences in the human body. Therefore, there is currently no simple and cheap method for accurate monitoring of the metabolic rate.

[0003] In addition, the existing indirect calorimetry method in the prior art obtains the metabolic rate of the human body by measuring the heat dissipation of the human body surface (skin) and establishing the equation of evaporation and heat dissipation of the human body. This method has certain operability, but, There are not small theoretical errors. Although the heat dissipation of the human body can characterize the metabolic rate to a certain extent, the heat dissipation of the human body is not only radiated by skin temperature, but also exchanges heat with the environment through breathing, skin evaporation, sweat, etc. For individuals, the heat dissipation ratio of each method is not necessarily a stable value. Moreover, once there are many sensing variables detected, there will be operation and detection errors for each variable, which will eventually be superimposed on the signal of the resulting metabolic rate, that is, There are many sources of error, and the accuracy of the test is difficult to guarantee

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