从功能性近红外光谱法的光学信号中提取心动和呼吸特征  

Extracting Cardiac and Respiratory Features from Optical Signal of Functional Near-Infrared Spectroscopy

作　　者：潘津津[1] 焦学军[1] 姜国华[1] 焦典[2] 姜劲[1] 张朕[1] 曹勇[1] 徐凤刚[1] 

机构地区：[1]中国航天员科研训练中心人因工程重点实验室,北京100094 [2]天津大学精密仪器与光电子工程学院,天津300072

出　　处：《光学学报》2015年第9期212-218,共7页Acta Optica Sinica

基　　金：国家973计划(2011CB711000;HF2011Z-Z-B-02)

摘　　要：认知神经科学的快速发展,使得各种生理参数的客观测量得以实现,其中功能性近红外光谱(f NIRS)是一种新兴的脑成像方法,可以检测经过人体皮肤组织的血液动力学指标,包括含氧血红蛋白(Hb O)、脱氧血红蛋白(Hb)和总血红蛋白(t Hb)含量。心电图(ECG)、呼吸波(RSP)则是常用的生理参数检测方法。研究目的是尝试利用f NIRS方法测得心率(HR)和呼吸率(BR)特征,利用时域形态学特征法、频域带通滤波法以及小波分解与重构方法提取心率及呼吸率,并与ECG、RSP真实信号的HR(77.0199)、BR(22.9153)进行对比。结果发现三种方法均可从f NIRS信号中提取出HR信号,其中用频域带通滤波器方法得到的HR为76.8807,偏差最小为-0.1392,利用相同方法提取的BR为21.7039,偏差为-1.2114。基本实现了从f NIRS信号中提取心率和呼吸率的目标。The rapid development of cognitive neuroscience makes objective determination of various physiological parameters possible. Functional near-infrared spectroscopy （fNIRS） is an emerging brain imaging tool that can detect human skin tissue hemodynamic indices including oxygenated hemoglobin （HbO）, deoxygenated hemoglobin （Hb） and total hemoglobin （tHb）. Electrocardiograph （ECG） and respiration wave （RSP） are also two important physiological parameter determination methods. In order to obtain multiple physiological parameters using fNIRS only, three algorithms, including time-domain waveform characteristic analysis, frequency-domain band-pass filtering and wavelet decomposition and reconstruction, are used to calculate heart rate （HR） and breath rate （BR） based on the HbO data collected by fNIRS. The calculated HR and BR results are compared with the real HR （77.0199） surveyed by ECG and BR （22.9153） surveyed by RSP. The results show that the three methods can all extract HR from fNIRS effectively, wherein the band-pass filtering can extract the most accurate HR （76.8807） with the deviation of -0.1392. The BR （21.7039） with the deviation of -1.2114 is also calculated by the same algorithm. Extracting HR and BR features using fNIRS signal is realized.

关 键 词：医用光学 功能性近红外光谱成像 血氧变化 算法 心率 呼吸率 

分 类 号：O433.4[机械工程—光学工程] TP274.52[理学—光学]