摘要
无接触环境下对运动员疲劳程度进行检测是一项新型技术,提出基于单分子荧光成像技术的运动员疲劳程度检测方法,通过单分子荧光成像装置,获取运动员身体机能荧光信号,并计算荧光寿命数值,获取运动员心率、血氧饱和度、体温、运动能耗在不同运动强度下的变动值。将这4种身体机能荧光寿命变动值参数,带入BP神经网络模型进行迭代训练检测,获取运动员疲劳程度检测结果。实验结果显示,当20位运动员在8 km/h的长跑速度下,运动160 min后,其4种生理荧光寿命均逐渐变大,疲劳程度从10.55%提升至80.44%。经计算,该方法检测结果均方根误差较小,在50 dB背景噪声下,检测结果差值不超出所设定的允许误差范围。
It is a new technology to detect the fatigue degree of athletes in the non-contact environment.Based on the single-molecule fluorescence imaging technology,the method of detecting the fatigue degree of athletes is proposed.Through the single-molecule fluorescence imaging device,the fluorescence signal of athletes’body function is obtained.The fluorescence life value is calculated to obtain the heart rate,blood oxygen saturation,body temperature and energy consumption of athletes at different exercise intensities Change value under.These four body function fluorescence life parameters were introduced into the BP neural network model for iterative training detection,and the result of athletes’fatigue degree detection was obtained.The results showed that when 20 athletes were running at a speed of 8 km/h for 160 minutes,the life span of four kinds of physiological fluorescence gradually increased,and the fatigue degree increased from 10.55%to 80.44%.After calculation,the root means the square error of the detection results is small.Under the background noise of 50 dB,the detection results’difference does not exceed the allowable error range.
作者
黄羽
郑定山
HUANG Yu;ZHENG Dingshan(Yangtze university college of engineering technology Jingzhou,Hubei,434100,China;School of Physics and Optoelectronic Engineering,Yangtze University,Jingzhou Hubei 434023,China)
出处
《激光杂志》
CAS
北大核心
2021年第2期83-87,共5页
Laser Journal
基金
湖北省教育厅科学技术研究项目(No.B2019040)。
关键词
单分子
荧光
成像技术
运动员
疲劳程度检测
BP神经网络
single-molecule
fluorescence
imaging technology
athlete
fatigue degree detection
BP neural network
