Screening method and system based on body temperature data curves

Abstract

The invention provides a screening method based on body temperature data curves. The screening method comprises the following steps: acquiring a body temperature data curve, wherein the body temperature data curve contains body temperature data within the xth time period of the dth day in the mth month, m is an integer which is more than or identical to 1, d is a positive integer which is less than or identical to 31 and x is a time period within 24h; de-noising the body temperature data curve so as to obtain the de-noised body temperature data curve; in accordance with the de-noised body temperature data curve, obtaining a monthly temperature trend, a daily temperature trend and a daily irregular temperature changing trend; in accordance with the monthly temperature trend and the daily temperature trend, obtaining a circadian rhythm curve; acquiring another body temperature data curve, and comparing the circadian rhythm curve with the body temperature data curve so as to obtain a similarity index of the two curves; and in accordance with the similarity index, judging whether the rhythms of the body temperature data curves are changed or not, and judging that the body temperature data curves are screened out when the rhythms are changed while judging that the body temperature data curves are not screened out when the rhythms are not changed. With the application of the screening method provided by the invention, a daily lowest body temperature point can be accurately found out, so as to bring about benefits for following data analysis.

Description

technical field [0001] The invention relates to the technical field of body temperature data processing, in particular to a screening method and system based on body temperature data curves. Background technique [0002] Body temperature, usually refers to the internal temperature of the human body, the average temperature of the deep part of the body. In biology, it refers to the temperature of the extracellular fluid, which is generally 37 degrees, and the normal human axillary temperature is 36.2 to 37.2 degrees. The measurement methods include oral, axillary and anal measurements. Oral temperature is 0.2-0.4 degrees higher than armpit temperature, and rectal temperature is 0.3-0.5 degrees higher than oral temperature. [0003] The temperature of the human body is relatively constant, and the body temperature of normal people fluctuates slightly within 24 hours, and the difference generally does not exceed 1 degree. Under physiological conditions, the body temperature i...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a screening method and system based on body temperature data curves to solve the problem of inaccurate minimum body temperature measured in the prior art

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