【摘要】：駕駛員中風(fēng)近年來(lái)已經(jīng)逐漸成為一個(gè)日益嚴(yán)重的現(xiàn)象,職業(yè)駕駛環(huán)境的惡劣,疲勞駕駛以及駕駛過(guò)程中精神緊張等都是中風(fēng)的誘發(fā)因素。駕駛員在駕駛汽車中發(fā)生腦中風(fēng),不僅自已的生命健康造成危害,嚴(yán)重時(shí)也會(huì)危及到道路交通安全。人體的大腦與人的思維,呼吸,運(yùn)動(dòng)等行為密切相關(guān),是維持人體進(jìn)行正常生命活動(dòng)的最重要器官,而大腦是人體氧代謝最活躍的器官之一,中風(fēng)會(huì)導(dǎo)致大腦組織不可逆轉(zhuǎn)的損害和功能喪失。 近紅外光譜成像技術(shù)近年來(lái)是一種迅速發(fā)展的檢測(cè)技術(shù),基于近紅外光譜法的腦氧檢測(cè)技術(shù)可以實(shí)現(xiàn)無(wú)創(chuàng)、連續(xù)、實(shí)時(shí)的檢測(cè)腦部血氧的動(dòng)態(tài)變化。本文提出了應(yīng)用近紅外光譜法檢測(cè)人體的腦氧參數(shù),并應(yīng)用小波相干的分析方法分析其與血壓之間的相關(guān)關(guān)系,有望為評(píng)估駕駛員中風(fēng)風(fēng)險(xiǎn)提供一種新方法。本文所做的的主要工作如下： (1)采用基于近紅外無(wú)創(chuàng)檢測(cè)的方法檢測(cè)兩組測(cè)試者(老年組,32人,70.8±5.2歲,青年組,19人,24±2歲)的腦氧參數(shù),使用了漫反射的探頭來(lái)獲得大腦的血氧信息。 (2)使用三次樣條插值和最小二乘擬合對(duì)信號(hào)進(jìn)行初步的去噪,擬合出比較符合實(shí)際情況的腦氧變化曲線與動(dòng)態(tài)血壓曲線。來(lái)去除因電磁干擾和儀器本身的缺陷對(duì)測(cè)量結(jié)果所造成的誤差。(3)使用了基于連續(xù)小波變換的小波相干性分析分析了六個(gè)頻率段內(nèi)(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)腦氧參數(shù)與血壓之間的關(guān)系。結(jié)果顯示,老年組的氧合血紅蛋白與動(dòng)脈壓在表示心跳的第一頻率間隔內(nèi)有較明顯的小波相干系數(shù),在第一、二、四頻率間隔內(nèi)有較明顯的小波相位相干系數(shù)。 (4)對(duì)分析結(jié)果使用SPSS做了統(tǒng)計(jì)分析。結(jié)果顯示,老年組與青年組相比,在第一和第五頻率間隔內(nèi)的小波相干系數(shù)我們發(fā)現(xiàn)了顯著的差異,在第四頻率間 隔內(nèi)的小波相位相干系數(shù),發(fā)現(xiàn)了顯著的差異。年輕個(gè)體與老年個(gè)體在小波相干系數(shù)與小波相位相干系數(shù)上的差異可能揭示了因年齡因素引起的大腦血管自主調(diào)節(jié)功能的減弱。本課題證明使用基于小波分析的相干性分析方法有望通過(guò)分析血氧與血壓自發(fā)性震蕩之間的關(guān)系來(lái)成為一種評(píng)估中風(fēng)風(fēng)險(xiǎn)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 鹵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，

本文編號(hào)：2165082