基于fNIRs技術(shù)的清醒-睡眠狀態(tài)識別
發(fā)布時(shí)間:2018-04-22 03:11
本文選題:功能近紅外光譜 + 光譜成像。 參考:《航天醫(yī)學(xué)與醫(yī)學(xué)工程》2016年05期
【摘要】:目的研究睡眠-清醒狀態(tài)下大腦血氧變化特性,探討基于功能近紅外光譜深層次信息識別兩狀態(tài)的可行性。方法采用便攜式功能近紅外設(shè)備(波長849 nm、757 nm)測量了6名年輕(20~26歲)男性志愿者靜止躺臥姿勢下睡眠-清醒狀態(tài)大腦前額位置6通道的功能近紅外譜(f NIRs)數(shù)據(jù),計(jì)算得到反映前額葉血氧水平變化的氧合血紅蛋白(HbO_2)均值、心動信號和Burg功率譜等共計(jì)36個生理特征,并用支持向量機(jī)(support vector machine,SVM)分類器建立了清醒與睡眠兩個狀態(tài)的識別模型。結(jié)果在清醒與睡眠過渡階段大腦前額葉HbO_2均值水平呈下降趨勢,心動信號頻率在睡眠由淺入深過程中也呈下降趨勢;睡眠時(shí)功率譜中呼吸波與心動強(qiáng)度均比清醒時(shí)有所下降(符合正常睡眠呼吸變緩、心動減弱規(guī)律);睡眠-清醒狀態(tài)的平均分類識別準(zhǔn)確率可達(dá)90%。結(jié)論基于功能近紅外光譜信息檢測實(shí)現(xiàn)人體靜止躺臥姿勢下睡眠與清醒狀態(tài)的自動化識別具有技術(shù)可行性,對在軌航天員空間作息評估與規(guī)劃具有實(shí)際應(yīng)用價(jià)值。
[Abstract]:Objective to study the characteristics of cerebral blood oxygen changes in sleep-wake state and to explore the feasibility of recognizing two states based on functional near infrared spectroscopy (FNIR). Methods A portable functional near infrared device (wavelength 849 nm ~ 757 nm) was used to measure the functional near infrared spectrum (FNIRs) data of 6 channels of brain prefrontal position in sleep awake state in 6 young male volunteers aged 20 to 26 years. The mean value of HBO _ 2, cardiac signal and Burg power spectrum, which reflect the changes of blood oxygen level in prefrontal lobe, were calculated and 36 physiological characteristics were obtained. The recognition model of awake and sleep states was established by using support vector machine (SVM) classifier. Results the mean level of HbO_2 in the prefrontal lobe of the brain decreased during the period of waking and sleep transition, and the frequency of cardiac signal showed a decreasing trend during the process of sleep from shallow to deep. The respiratory wave and cardiac intensity in sleep power spectrum were lower than those in awake (in accordance with the normal sleep breathing bradycardia weakened law and the average classification and recognition accuracy of sleep-wake state can reach 90%). Conclusion it is feasible to realize the automatic recognition of sleep and waking state based on the detection of functional near infrared spectrum information, and it has practical application value for the evaluation and planning of spaceflight space in orbit.
【作者單位】: 中國航天員科研訓(xùn)練中心人因工程重點(diǎn)實(shí)驗(yàn)室;
【基金】:中國航天員科研訓(xùn)練中心國家重點(diǎn)實(shí)驗(yàn)室資助課題(9140C770208150C77320,2012SY54B1701) 國家重點(diǎn)實(shí)驗(yàn)室自主課題(HF2011ZZA01,HF2011ZZB02)
【分類號】:R740
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本文編號:1785336
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