A rapid prediction algorithm suitable to portable device for animal body-temperature measurement

Author:

Zhu Qi-Wen12,Gu Bin1,Ji Liang1,Sun Dong1,Liu Yu-Dong1,Yu Bao-Ming1

Affiliation:

1. School of Electronics and Information, Nanjing Vocational College of Information Technology, Nanjing, Jiangsu, China

2. Electronic Information Engineering R&D Center of Jiangsu Province, Nanjing, Jiangsu, China

Abstract

The body-temperature is the most significant vital signs of human and animals. It is easily imaginable that measurement of body-temperature of animals will be much more difficult than that of human being due to lack of endurance or fear of measuring instrument. Infrared temperature measurement device may be a solution, however coverage of hair and fur may incur a large error. To address this issue, a rapidly executed algorithm is developed for prediction of steady state body temperature, which needs only a few one-tenth of measurement duration that the currently popular machine learning-based approach usually requires. Let a cubic function c⁢(t) fit the sampled temperature data which are generated by the measurement within a significantly short duration from tn-k to tn,k>0. Then let a quadratic function f⁢(t)=a2⁢t2+a2⁢t+a as a prediction function go through the point (tn,c⁢(tn)) and share the same slope of sn thereat. Finally try to find a next point (tn+m,f⁢(tn+m)), m>0, where the slope satisfies sn+m=sn/2 and m depends strongly on sn through an empirical formula. Accordingly, f⁢(t) can be determined by (tn,c⁢(tn)), sn and sn+m. Experiments indicate that the maximum of f⁢(t) approaches well the steady state temperature of the measured subject with a quite small error.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3