摘要
目的:识别非接触生命参数检测系统探测范围内目标的运动/静止状态,为探测人员提供更加丰富的目标信息.方法:提取系统检测到的呼吸路信号和体动路信号,选取最优的数据长度分别进行快速傅里叶变换(FFT),对变换后两路信号的频域能量分析比较,参照设定的阈值进行识别.结果:20cm和30cm穿墙探人实验表明,在系统的探测范围内,目标的运动/静止壮态与呼吸路信号和体动路信号的频域能量比有着良好的相关性.结论:本方法适用于不同的探测环境中的非接触生命参数检测系统,能够迅速对目标的运动/静止状态进行识别,增强了此系统的使用功能.
AIM： To offer more object information to the rescue team by recognizing the motional/motionless state of an object in the detecting range of a non-contact life-parameter detecting system. METHODS： After extracting the respiration signals and the body signals, we compared the frequency domain energy of the signals with the threshold by a method based on Fast Fourier Transform （FFT）. RESULTS： In human detecting experiment of 20 cm and 30 cm thick wall, the motional/motionless state of an object was found to be well related to the energy ratio between the respiration signals and body signals within the detecting range of the system. CONCLUSION： This method can be used by non-contact life-parameter detecting system in different detecting conditions and can rapidly recognize the motional/ motionless state of an object, thus enhancing the function of the system.
出处
《第四军医大学学报》
北大核心
2005年第20期1915-1918,共4页
Journal of the Fourth Military Medical University
基金
国家自然科学基金(60171021)
