Resting energy metabolic rate variation characteristic analysis method

Abstract

The invention discloses a resting energy metabolic rate variation characteristic analysis method. A resting energy metabolic rate variation characteristic analysis system device is included, an energymetabolism collecting and detecting device of the device is connected with a data transmission device through a bridge, and the data transmission device is connected with an upper computer comprisinga data processing and analyzing platform through a serial port; the energy metabolism collecting and detecting device is used for detecting and obtaining variation indexes of data such as the oxygenconsumption amount and the carbon dioxide output amount of the human body in the resting state or the motion state, and the variation indexes are transmitted to the data processing and analyzing platform of the upper computer through the serial port; and the data processing and analyzing platform analyzes the balance state of sympathetic nerves and parasympathetic nerves in the autonomic nervous system according to the resting energy metabolic rate variation principle. Compared with the limitation of existing heart rate variation and other evaluation methods, the method achieves evaluation ofthe functions of the autonomic nervous system through more systematic and comprehensive data indexes in the energy metabolism testing technology.

Description

technical field [0001] The invention relates to the technical field of heart rate variability analysis, in particular to a resting energy metabolic rate variability characteristic analysis method. Background technique [0002] The autonomic nervous system is the part of the peripheral efferent nervous system that regulates the activity of visceral and vascular smooth muscle, cardiac muscle, and glands. The autonomic nervous system consists of two parts, the sympathetic nervous system and the parasympathetic nervous system. It controls and regulates the activities and secretions of various organs, blood vessels, smooth muscles and glands in the body, and participates in endocrine regulation of glucose, fat, water and electrolyte metabolism, as well as body temperature and sleep. and blood pressure etc. Under the control of the cerebral cortex and hypothalamus, the two subsystems both antagonistically and coordinately regulate the physiological activities of the organs. The ...

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Problems solved by technology

However, sinus heart rate oscillations have certain limitations, which are affected by gender, age, basal heart rate, compensatory cycle, etc. Sinus heart rate oscillations are not always measurable. Vibration will not detect sinus heart rate oscillations, so there are certain limitations in clinical application

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