本文選題：醫(yī)用光學(xué) + 功能性近紅外光譜成像�。� 參考：《光學(xué)學(xué)報》2015年09期

【摘要】：認(rèn)知神經(jīng)科學(xué)的快速發(fā)展,使得各種生理參數(shù)的客觀測量得以實現(xiàn),其中功能性近紅外光譜(f NIRS)是一種新興的腦成像方法,可以檢測經(jīng)過人體皮膚組織的血液動力學(xué)指標(biāo),包括含氧血紅蛋白(Hb O)、脫氧血紅蛋白(Hb)和總血紅蛋白(t Hb)含量。心電圖(ECG)、呼吸波(RSP)則是常用的生理參數(shù)檢測方法。研究目的是嘗試?yán)胒 NIRS方法測得心率(HR)和呼吸率(BR)特征,利用時域形態(tài)學(xué)特征法、頻域帶通濾波法以及小波分解與重構(gòu)方法提取心率及呼吸率,并與ECG、RSP真實信號的HR(77.0199)、BR(22.9153)進(jìn)行對比。結(jié)果發(fā)現(xiàn)三種方法均可從f NIRS信號中提取出HR信號,其中用頻域帶通濾波器方法得到的HR為76.8807,偏差最小為-0.1392,利用相同方法提取的BR為21.7039,偏差為-1.2114�；緦崿F(xiàn)了從f NIRS信號中提取心率和呼吸率的目標(biāo)。
[Abstract]:The rapid development of cognitive neuroscience has made the objective measurement of various physiological parameters possible. Functional near infrared spectroscopy (f NIRS) is a new brain imaging method, which can detect the hemodynamic indices of human skin tissue, including Hb O, Hb and t Hb. Electrocardiogram (ECG) and respiratory wave (RSP) are commonly used physiological parameters detection methods. The purpose of this study is to use the f NIRS method to detect the heart rate (HR) and respiratory rate (BR) characteristics, using the time domain morphological characteristics, frequency band pass filtering and wavelet decomposition and reconstruction method to extract heart rate and respiration rate, and HR (77.0199) of ECG, RSP real signal. Compared with BR (22.9153), it is found that the three methods can extract the HR signal from the f NIRS signal, in which the HR of the frequency band pass filter is 76.8807, the minimum deviation is -0.1392, the BR obtained by the same method is 21.7039, and the deviation is -1.2114. is basically the target of extracting heart rate and respiration rate from the f NIRS signal.

【作者單位】： 中國航天員科研訓(xùn)練中心人因工程重點實驗室;天津大學(xué)精密儀器與光電子工程學(xué)院;
【基金】：國家973計劃(2011CB711000,HF2011Z-Z-B-02)
【分類號】：R33;TN911.7

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本文編號：1786213