Human body-temperature change prediction method based on heart rate estimation and respiration estimation

A prediction method and technology of human body temperature, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as inability to accurately predict human body temperature, achieve good environmental adaptability, body surface temperature and ring tight temperature compensation algorithm is simple , The effect of low power consumption

Pending Publication Date: 2020-09-29
贵阳像树岭科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Based on the above problems, the object of the present invention is to provide a method for predicting changes in human body temperature based on heart rate estimation and respiration estimation, which is used to solve the problem that human body temperature cannot be more accurately predicted in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Human body-temperature change prediction method based on heart rate estimation and respiration estimation
  • Human body-temperature change prediction method based on heart rate estimation and respiration estimation
  • Human body-temperature change prediction method based on heart rate estimation and respiration estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0037] Such as Figure 1-3 As shown, the method for predicting changes in body temperature based on heart rate estimation and respiration estimation includes the following steps:

[0038] Step S1: Calculate the heart rate h and respiration rate b from the data collected by the camera;

[0039] Step S2: Push the heart rate h, breathing rate b and the corresponding time t into the stack p, that is, p={[h1, b1, t1], [h2, b2, t2], ..., [hn, bn , tn]}, where h1 and b1 represent the heart rate and respiration rate corresponding to time t1 respectively, and hn and bn represent the heart rate and respiration rate corresponding to time tn respectively;

[0040] Step S3: Find the latest data set S from the stack P, that is, the data set S is a subset of the stack p, and calculate the heart rate value hb_s in the most concentrated heart rate data set of S through the Meanshift algorithm, as the effective value of the measured heart rate , calculate the most concentrated respiration rat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of human body-temperature prediction, in particular to a human body-temperature change prediction method based on heart rate estimation and respiration estimation, which is used for solving the problem that human body-temperature cannot be predicted more accurately. The method comprises the following steps: S1, heart rate h and respiration rate b are calculated; S2, the heart rate h, the respiration rate b and the corresponding time t are input into a stack p; S3, a data set S is found in the recent time from the stack P, and a heart rate value hb_swith the most concentrated center rate data set in the S is calculated through a Meanshift algorithm to serve as a measured heart rate effective value; a respiratory rate value hb_l with the most concentrated respiratory rate data set in the S is calculated through a Meanshift algorithm to serve as a measured respiratory rate effective value; S4, the body temperature offset is calculated according to the formula dT = f (hb_s, hb_l, age, t), wherein age refers to age, and f is a data model created by a large amount of data; and S5, the body temperature offset dT and the basic body temperatureTO are added to obtain a final body temperature T, that is, T=TO+dT. Therefore, the human body body-temperature can be predicted more accurately.

Description

technical field [0001] The present invention relates to the technical field of human body temperature prediction, and more particularly relates to a method for predicting changes in human body temperature based on heart rate estimation and respiration estimation. Background technique [0002] Accurately measuring the physical temperature of the human body has positive guiding significance for human health. Usually, we use a thermometer to measure the body temperature of the human body. The thermometer is successfully developed on the basis of the thermometer to measure the physical temperature of the human body. Measuring the temperature of the human body can not only diagnose the occurrence of diseases, but also play an active role in preventing and warning some major diseases or hidden health risks hidden in the body. Although the thermometer is widely used to measure the body temperature of the human body, the thermometer needs to be in contact with the human body to meas...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/01A61B5/0205
CPCA61B5/7275A61B5/02055A61B5/01A61B5/72
Inventor 李丹疆金德新刘萍黎平
Owner 贵阳像树岭科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products