Sleep process metabolic rate detection method based on linear correlation coefficient interference removal

Abstract

The invention relates to a sleep process metabolic rate detection method based on linear correlation coefficient interference removal. The method comprises the following steps: measuring the weight of a bed once every first preset time, identifying steady states according to measured values, and screening out effective sleep steady states according to correlation coefficients of linear regression analysis of the steady states; calculating the sum of the weight loss values in the effective sleep steady-state periods as an absolute weight loss value in the sleep period; and calculating the sleep metabolism rate using the absolute weight reduction value during sleep. According to the method, the absolute weight loss of the person sleeping on the bed is measured, the metabolic quantity is calculated according to the weight loss in the sleeping process, and due to the fact that weight measurement is more direct than heat measurement, the metabolic condition of the person can be reflected more truly; various interference factors influencing the body weight in the sleep process can be eliminated by adopting a method for calculating the body weight loss value in the duration of each steady state, and the steady state containing interference can be removed by calculating the correlation coefficient of linear regression analysis.

Description

technical field [0001] The invention belongs to the technical field of monitoring metabolic rate during sleep, and relates to a method for detecting metabolic rate during sleep based on linear correlation coefficient de-interference. Background technique [0002] Metabolic rate represents the energy consumed by the body per unit time. In the prior art, the metabolic rate is generally calculated by calorie metabolism, but it is difficult to monitor the calorie, and can only be converted by other indicators, resulting in large errors in the calculation results. [0003] Because people are consuming energy all the time, without drinking water or eating, their weight must be gradually decreasing. Therefore, the metabolic rate can also be calculated through the change of body weight, but the value of this weight change is very small, and the traditional weight Measurement methods cannot accurately monitor this reduced value, and people's metabolic rate will also fluctuate greatl...

AI Technical Summary

Problems solved by technology

In the prior art, the metabolic rate is generally calculated by the metabolism of calories, but the monitoring of calories is difficult, and can only be converted through other indicators, resulting in large errors in the calculation results

[0003] Because people are consuming energy all the time, without drinking water or eating, their weight must be gradually decreasing. Therefore, the metabolic rate can also be calculated through the change of body weight, but the value of this weight change is very small, and the traditional weight The measurement method cannot accurately monitor this reduced value, and the metabolic rate of people will also fluctuate greatly due to the different amounts of exercise in different periods during the activity process

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