本文選題：腦電圖 + 頻率漲落分析��； 參考：《航天醫(yī)學(xué)與醫(yī)學(xué)工程》2017年05期

【摘要】：目的考察靜態(tài)與不同難度追蹤任務(wù)下腦波功率譜及優(yōu)勢頻率漲落特征間的差異和變化特點。方法記錄5名青中年男性靜態(tài)(閉眼)和執(zhí)行追蹤任務(wù)過程中的EEG數(shù)據(jù),應(yīng)用腦波頻率漲落分析技術(shù)分析相關(guān)的α段頻率漲落特征及變化特點。結(jié)果靜態(tài)與追蹤任務(wù)態(tài)優(yōu)勢頻率概率分布特征差異顯著,追蹤任務(wù)態(tài)優(yōu)勢頻率概率分布曲線峰值向低頻方向偏移,優(yōu)勢頻率漲落熵顯著增加,熵值的腦區(qū)分布特征顯著改變,優(yōu)勢頻率的不穩(wěn)定性明顯增強。不同難度追蹤任務(wù)狀態(tài)下優(yōu)勢頻率序列均值及離散程度的變化與任務(wù)難度有關(guān),優(yōu)勢頻率漲落熵隨追蹤任務(wù)難度加大呈上升趨勢。結(jié)論腦波α段頻率漲落特征指標(biāo)的變化反映了不同難度追蹤任務(wù)下相關(guān)腦區(qū)活動的顯著變化,表明該技術(shù)可應(yīng)用于追蹤任務(wù)負(fù)荷的研究。
[Abstract]:Aim to investigate the differences and variation characteristics of cerebral wave power spectrum and dominant frequency fluctuation between static and different difficulty tracking tasks. Methods EEG data of 5 young and middle-aged men were recorded in the course of static (eye closure) and tracking tasks. The characteristics and changes of 偽 segment frequency fluctuation were analyzed by using the brain wave frequency fluctuation analysis technique. Results the characteristics of probability distribution of dominant frequency in static state and tracking state were significantly different. The peak value of probability distribution curve of dominant frequency of tracking task state shifted to the direction of low frequency, the entropy of dominant frequency fluctuation increased significantly, and the distribution characteristics of brain region of entropy value changed significantly. The instability of dominant frequency is obviously enhanced. The variation of the average and discrete degree of dominant frequency series under different difficulty tracking tasks is related to the task difficulty, and the entropy of dominant frequency fluctuation increases with the increase of tracking task difficulty. Conclusion the change of the characteristic index of 偽 -segment frequency fluctuation of brain wave reflects the significant change of the activity of the related brain area under different difficulty tracking tasks, which indicates that this technique can be applied to the study of tracking task load.
【作者單位】： 北京航空航天大學(xué)生物與醫(yī)學(xué)工程學(xué)院;中國航天員科研訓(xùn)練中心人因工程重點實驗室;
【基金】：國家自然科學(xué)基金青年基金(71201148) 人因工程重點實驗室課題(9140C770208150C77320)
【分類號】：R857.1

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