桂林电子科技大学学报
桂林電子科技大學學報
계림전자과기대학학보
JOURNAL OF GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY
2014年
5期
382-385
,共4页
杨超%肖文香%陈真诚%王冬翠%陈刚%田树香%罗邵辉
楊超%肖文香%陳真誠%王鼕翠%陳剛%田樹香%囉邵輝
양초%초문향%진진성%왕동취%진강%전수향%라소휘
样本熵%抑郁症%静息脑电数据
樣本熵%抑鬱癥%靜息腦電數據
양본적%억욱증%정식뇌전수거
sample entropy%depression%resting EEG data
为寻找抑郁症患者早期诊断指标,采集了5例未经抗抑郁药物干预的抑郁症患者和6例正常被试者静息状态下的脑电数据,采用样本熵算法,研究抑郁症患者脑电时间序列复杂度。结果表明,2组数据睁眼状态都比闭眼状态的样本熵数值大,说明睁眼状态的时间序列复杂度要高于闭眼状态。抑郁组的睁眼状态和闭眼状态样本熵数值分别比正常组大,说明抑郁组睁眼和闭眼状态时间序列复杂度比正常组高。研究表明,样本熵的处理方法能有效区分抑郁症患者和正常对照组,样本熵可作为判别抑郁症的生物学指标,为抑郁症的早期诊断提供一种辅助方法。
為尋找抑鬱癥患者早期診斷指標,採集瞭5例未經抗抑鬱藥物榦預的抑鬱癥患者和6例正常被試者靜息狀態下的腦電數據,採用樣本熵算法,研究抑鬱癥患者腦電時間序列複雜度。結果錶明,2組數據睜眼狀態都比閉眼狀態的樣本熵數值大,說明睜眼狀態的時間序列複雜度要高于閉眼狀態。抑鬱組的睜眼狀態和閉眼狀態樣本熵數值分彆比正常組大,說明抑鬱組睜眼和閉眼狀態時間序列複雜度比正常組高。研究錶明,樣本熵的處理方法能有效區分抑鬱癥患者和正常對照組,樣本熵可作為判彆抑鬱癥的生物學指標,為抑鬱癥的早期診斷提供一種輔助方法。
위심조억욱증환자조기진단지표,채집료5례미경항억욱약물간예적억욱증환자화6례정상피시자정식상태하적뇌전수거,채용양본적산법,연구억욱증환자뇌전시간서렬복잡도。결과표명,2조수거정안상태도비폐안상태적양본적수치대,설명정안상태적시간서렬복잡도요고우폐안상태。억욱조적정안상태화폐안상태양본적수치분별비정상조대,설명억욱조정안화폐안상태시간서렬복잡도비정상조고。연구표명,양본적적처리방법능유효구분억욱증환자화정상대조조,양본적가작위판별억욱증적생물학지표,위억욱증적조기진단제공일충보조방법。
In order to find indicators for early diagnosis of depression patients,the resting EEG data is collected from 5 de-pression patients and 6 normal subj ects.Using sample entropy,time series complexity is studied on patients with depres-sion.The results shows that the sample entropy of eyes opening is higher than eyes closed in two groups.It indicates that the time series of eye opening has a higher degree of complexity than eyes closed.The depression group has a higher sample entropy than the normal group in two stages,the time series complexity of the depression group is higher than the normal group.The sample entropy can effectively distinguish depression patients with normal people.So it can be used for aiding early diagnosis of depression.