光学学报, 2015, 35 (9): 0917001, 网络出版: 2015-09-01   

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 下载: 623次

Extracting Cardiac and Respiratory Features from Optical Signal of Functional Near-Infrared Spectroscopy
作者单位
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
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(fNIRS)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(HbO)、脱氧血红蛋白(Hb)和总血红蛋白(tHb)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fNIRS 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fNIRS 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fNIRS信号中提取心率和呼吸率的目标。
Abstract
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.

潘津津, 焦学军, 姜国华, 焦典, 姜劲, 张朕, 曹勇, 徐凤刚. 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[J]. 光学学报, 2015, 35(9): 0917001. Pan Jinjin, Jiao Xuejun, Jiang Guohua, Jiao Dian, Jiang Jing, Zhang Zhen, Cao Yong, Xu Fenggang. Extracting Cardiac and Respiratory Features from Optical Signal of Functional Near-Infrared Spectroscopy[J]. Acta Optica Sinica, 2015, 35(9): 0917001.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!