[1]郭孝文,郭书文,赵亚欣,等.基于多光谱传感器的实时生理参数监测系统构建[J].计算机技术与发展,2025,(03):215-220.[doi:10.20165/j.cnki.ISSN1673-629X.2024.0352]
　GUO Xiao-wen,GUO Shu-wen,ZHAO Ya-xin,et al.Construction of a Real-time Physiological Parameter Monitoring System Based on Multispectral Sensors[J].,2025,(03):215-220.[doi:10.20165/j.cnki.ISSN1673-629X.2024.0352]
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基于多光谱传感器的实时生理参数监测系统构建

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2025年03期
页码:
215-220
栏目:
新型计算应用系统
出版日期:
2025-03-10

文章信息/Info

Title:
Construction of a Real-time Physiological Parameter Monitoring System Based on Multispectral Sensors
文章编号:
1673-629X(2025)03-0215-06
作者:
郭孝文; 郭书文; 赵亚欣; 史佳苗; 谭国桢; 贺军
兵器工业卫生研究所 人—机—环境重点实验室,陕西 西安 710000
Author(s):
GUO Xiao-wen; GUO Shu-wen; ZHAO Ya-xin; SHI Jia-miao; TAN Guo-zhen; HE Jun
Key Laboratory of Man-machine-environment,CNGC Institute for Hygiene of Ordnance Industry,Xi'an 710000,China
关键词:
非接触式; 实时监测; 生理参数监测; 多光谱; 系统构建
Keywords:
non-contact; real-time monitoring; physiologic parameter monitoring; multispectral; system building
分类号:
TP391
DOI:
10.20165/j.cnki.ISSN1673-629X.2024.0352
摘要:
为快速构建集成化实时非接触式生命体征监测系统,该文建立了一种基于多光谱传感器的实时非接触式生理参数监测系统,可实现人员心率、呼吸率及体温的实时非接触式监测。 文中对比了反射式脉搏波测量与 ippg 技术脉搏波测量的区别,建立了基于多光谱传感器的非接触式生理参数监测模型,对比了常见的人脸检测模型,优化了人脸稳定算法,确定了各生理参数 ROI 的选择,选取了合适的时间窗口,明确了生理参数求解方法,并详细说明了系统建立过程。 在准静态实验环境下系统在实验室条件下心率监测的平均误差为 1. 16 次/ min,呼吸率监测的平均误差为 2. 5 次/ min,与黑体炉标准温度值相比,体温误差为 0. 65??,准确性良好,可为构建实时非接触式生理参数监测系统提供参考。
Abstract:
In order to quickly build an integrated real-time non-contact vital signs monitoring system,we establish a real-time non-contact physiological parameters monitoring system based on multi - spectral sensors, which can realize the real - time non - contact monitoring of personnel's heart rate,respiratory rate and body temperature. We compare the difference between reflective pulse wave measurement and ippg technology pulse wave measurement,establish a non-contact physiological parameter monitoring model based on multispectral sensors,compare common face detection models,optimize the face detection stabilization algorithm,determine the selection of ROIs for each physiological parameter,select a suitable time window,specify the physiological parameter solution method,and describe in detail the process of system establishment. The system under quasi-static experimental environment has an average error of 1. 16 times/ per minute for heart rate monitoring and 2. 5 times/ per minute for respiratory rate monitoring under laboratory conditions. Compared with the standard temperature value of the blackbody furnace,the body temperature error is 0. 65??,with excellent accuracy,which can provide a reference for the construction of real-time non-contact physiological parameter monitoring system.

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更新日期/Last Update: 2025-03-10