汽车驾驶员脑氧信号的近红外光谱法检测及小波相干性分析

发布时间：2018-08-04 20:45

【摘要】：驾驶员中风近年来已经逐渐成为一个日益严重的现象,职业驾驶环境的恶劣,疲劳驾驶以及驾驶过程中精神紧张等都是中风的诱发因素。驾驶员在驾驶汽车中发生脑中风,不仅自已的生命健康造成危害,严重时也会危及到道路交通安全。人体的大脑与人的思维,呼吸,运动等行为密切相关,是维持人体进行正常生命活动的最重要器官,而大脑是人体氧代谢最活跃的器官之一,中风会导致大脑组织不可逆转的损害和功能丧失。 近红外光谱成像技术近年来是一种迅速发展的检测技术,基于近红外光谱法的脑氧检测技术可以实现无创、连续、实时的检测脑部血氧的动态变化。本文提出了应用近红外光谱法检测人体的脑氧参数,并应用小波相干的分析方法分析其与血压之间的相关关系,有望为评估驾驶员中风风险提供一种新方法。本文所做的的主要工作如下： (1)采用基于近红外无创检测的方法检测两组测试者(老年组,32人,70.8±5.2岁,青年组,19人,24±2岁)的脑氧参数,使用了漫反射的探头来获得大脑的血氧信息。 (2)使用三次样条插值和最小二乘拟合对信号进行初步的去噪,拟合出比较符合实际情况的脑氧变化曲线与动态血压曲线。来去除因电磁干扰和仪器本身的缺陷对测量结果所造成的误差。(3)使用了基于连续小波变换的小波相干性分析分析了六个频率段内(I,0.4-2Hz；Ⅱ,0.15-0.4Hz；Ⅲ,0.05-0.15Hz；Ⅳ:0.02-0.05Hz；V,0.0095-0.05Hz；Ⅵ,0.005-0.0095Hz)脑氧参数与血压之间的关系。结果显示,老年组的氧合血红蛋白与动脉压在表示心跳的第一频率间隔内有较明显的小波相干系数,在第一、二、四频率间隔内有较明显的小波相位相干系数。 (4)对分析结果使用SPSS做了统计分析。结果显示,老年组与青年组相比,在第一和第五频率间隔内的小波相干系数我们发现了显著的差异,在第四频率间 隔内的小波相位相干系数,发现了显著的差异。年轻个体与老年个体在小波相干系数与小波相位相干系数上的差异可能揭示了因年龄因素引起的大脑血管自主调节功能的减弱。本课题证明使用基于小波分析的相干性分析方法有望通过分析血氧与血压自发性震荡之间的关系来成为一种评估中风风险的新方法。
[Abstract]:In recent years, stroke of drivers has become an increasingly serious phenomenon. The poor environment of professional driving, fatigue driving and mental stress during driving are all the inducing factors of stroke. The driver has a stroke in driving a car, which not only endangers his own life and health, but also endangers the safety of road traffic. The human brain is closely related to human thinking, breathing, movement and other behaviors. It is the most important organ to maintain the normal life activities of the human body, and the brain is one of the most active organs of human oxygen metabolism. Stroke can lead to irreversible damage to brain tissue and loss of function. Near-infrared spectroscopy (NIR) imaging technology has been developed rapidly in recent years. The brain oxygen detection technology based on near-infrared spectroscopy can detect the dynamic changes of cerebral blood oxygen in a non-invasive, continuous and real-time manner. In this paper, a near infrared spectroscopy (NIR) method is proposed to detect the cerebral oxygen parameters of human body, and wavelet coherence analysis method is used to analyze the correlation between the parameters and blood pressure, which is expected to provide a new method for assessing the risk of stroke in drivers. The main work of this paper is as follows: (1) the brain oxygen parameters of the two groups (32 patients in the elderly group, 70.8 卤5.2 years in the elderly group and 19 in the young group) were measured by using the method based on NIR noninvasive detection. The diffuse reflectance probe is used to obtain the cerebral blood oxygen information. (2) the cubic spline interpolation and the least square fitting are used to carry out the preliminary denoising of the signal, and the curves of cerebral oxygen change and ambulatory blood pressure which are in line with the actual situation are fitted out. (3) the wavelet coherence based on continuous wavelet transform is used to analyze the six frequency bands (I ~ (0.4-2) Hz; 鈪，

本文编号：2165082