期刊文献+

严重意识障碍患者康复过程EEG非线性特征与CRS-R评分相关性分析与可视化表征 被引量:7

Correlation Analysis of Nonlinear Characteristics in EEG with CRS-R Score and Visual Characterization of Rehabilitation Process in DOC Patients
下载PDF
导出
摘要 研究严重意识障碍患者意识康复过程脑电非线性特征与行为学意识量表CRS-R评分之间的相关性,并将非线性特征用于脑功能的可视化表征,为建立脑电非线性特征用于评估严重意识障碍患者意识康复过程提供电生理学依据。采集严重意识障碍患者(最小意识状态(MCS)10例和植物状态(VS)8例)意识康复过程中前后两次安静状态的脑电数据,计算近似熵、样本熵、排列熵和复杂度LZC等4种脑电非线性特征,对比分析非线性特征变化与CRS-R评分变化之间的相关性,并利用脑电地形图将近似熵非线性特征进行可视化表征。结果表明,MCS组和VS组CRS-R评分变化均为显著差异(P<0.01);MCS组的近似熵和复杂度LZC变化为显著差异(P<0.05),而VS组只有近似熵变化为显著差异(P<0.05);MCS组近似熵、复杂度LZC的变化与CRS-R评分变化的相关系数分别为0.851和0.693,呈显著正相关,VS组只有近似熵变化与CRS-R评分变化为显著正相关,相关系数为0.778;近似熵用于患者脑地形图可视化表征具有较好的效果。近似熵非线性特征用于评估严重意识障碍患者的意识康复过程具有一定的可行性。 To provide an electrophysiology judgment method for evaluating the rehabilitation process of severe disorders of consciousness (DOC) patients,the correlation between EEG nonlinear characteristics and CRS-R score was studied,and a visual characterization method was developed.The EEG data (acquired twice in a quiet state) of awareness patient' s (minimally conscious state,MCS,10 and vegetative state,VS,8) rehabilitation process were collected,nonlinear characteristics (approximate entropy,sample entropy,permutation entropy and complexity LZC) were calculated to compare the changes between nonlinear characteristics and CRS-R score,and then were used to brain mapping for visual characterization.The CRS-R score changes significantly both for MCS and VS patients (P < 0.01).Approximate entropy and complexity LZC changes significantly for MCS patients (P < 0.05),while only approximate entropy changes significantly for VS patients (P < 0.05).There has significantly positive correlation of score changes between CRS-R and nonlinear characteristics (approximate entropy for both MCS and VS,complexity LZC for MCS only),the correlation coefficients were calculated,0.851 and 0.693 for MCS (approximate entropy and complexity LZC),and 0.778 for VS (approximate entropy).Approximate entropy can be used to visualize patient' s brain function mapping.Approximate entropy could be used as a potential method to evaluate the rehabilitation process for patients with awareness.
出处 《中国生物医学工程学报》 CAS CSCD 北大核心 2015年第2期153-159,共7页 Chinese Journal of Biomedical Engineering
基金 国家自然科学基金(30770685 31300939) 浙江省教育厅科研项目(Y201223324)
关键词 严重意识障碍患者 意识康复 EEG 非线性特征 CRS-R 脑电地形图 severe disorders of consciousness rehabilitation awareness EEG nonlinear characteristics CRS-R brain electrical activity mapping
  • 相关文献

参考文献18

  • 1Giacino JT. Ashwal S. Childs N ? et al. The minimally conscious state: definition and diagnostic criteria [J]. Neurology. 2002, 58: 349 - 353.
  • 2Kotchoubey B. Lang S, Mezger G, et 01. Information processing in severe disorders of consciousness: Vegetative state and minimally conscious state [J]. Clinical Neurophysiology, 2005, 116 :2441 -2453.
  • 3Giacino JT. Kalmar K, Whyte J. The JFK Coma Recovery ScaleRevised: measurement characteristics and diagnostic utility [J] . Archives of Physical Medicine and Rehabilitation, 2004, 8S ( 12) : 2020 - 2029.
  • 4Schnakers C, Majerus S, Giacino J. et of. A French validation study of the Coma Recovery Scale-Revised (CRS-R) [J]. Brain Injury. 2008, 22 ( 10) : 786 - 792.
  • 5Eken C, Kartal M, Bacanli A. et al. Comparison of the Full Outline of Unresponsiveness Score Coma Scale and the Glasgow Coma Scale in an emergency setting population [J]. European Journal of Emergency Medicine. 2009. 16 ( 1 ) : 29 - 36.
  • 6Cosseries 0, Schnakers C. Ledoux D, et al. Automated EEG entropy measurements in coma, vegetative state/unresponsive wakefulness syndrome and minimally conscious state [J] . Functional Neurology, 2011. 26( I) : 25 - 30.
  • 7Cruse D, Chennu S. Chatelle C. et al. Bedside detection of awareness in the vegetative state: a cohort study [J]. Lacent , 2011,378(9809): 2088 -2094.
  • 8Schnakers C. Ledoux D. Majerus S. et 01. Diagnostic and prognostic use of hispectral index in coma, vegetative state, and related disorders [J] , Brain Injury, 22 (2008) : 926 - 931.
  • 9Cruse D. Chennu S. Chatelle C. et al. Bedside detection of awareness in the vegetative state: a cohort study [J]. The Lancet, 2011 ? 378 ( 9809) : 2088 - 2094.
  • 10Schnakers C, Perrin F. Schabus M, et 01. Voluntary brain processing in disorders of consciousness [J]. Neurology 2008. 71(20): 1614 -1620.

二级参考文献5

共引文献5

同被引文献81

  • 1王晓梅,宿英英.重症脑血管疾病的脑电图分级评价标准研究[J].中国危重病急救医学,2005,17(5):282-285. 被引量:31
  • 2彭静,彭承琳.混沌理论和方法在医学信号处理中的应用[J].国际生物医学工程杂志,2006,29(2):124-127. 被引量:14
  • 3Byrne DM,Martin BN.A solution to the shortage of nursing fac- uhy:awareness and understanding of the leadership style of the nursing department head[J].Nurse Educ,2014,39(3) : 107-112.
  • 4Wittenberg LE,Goldsmith J,Richardson B,et al. The Practical Nurse :A Case for COMFORT Communication Training [ J]. Am J Hosp Palliat Care,2013,30(2):162-166.
  • 5Billington T.Reflecting on the meaning of true nursing quality[J]. Br J Nurs,2013,22(4):241.
  • 6Hosseini M,Ashk T'F,Taghdisi MH,et al. Study on situational influences perceived in nursing discipline on health promo- t ion : a qualitative study [ J ]. ISRN Nurs, 2013,8 ( 3 ) : 218 -224.
  • 7Ward DJ. Attitudes towards infection prevention and control: an interview study with nursing students and nurse mentors [J].BMJ Qual Saf,2012,21(4):301-306.
  • 8Palese A,Vianelli C,De MR,et al. Measures of cost contain- ment,impact of the economical crisis,and the effects per- ceived in nursing daily practice:an Italian crossover study [J]. Nurs Econ,2012,30(2) :86-93,119.
  • 9Por J, Barriball L, Fitzpatrick J,et al. Emotional intelligence : its relationship to stress,coping,well-being and professional performance in nursing student[J]. Nurse Educ Today,2011, 31(8) :855-860.
  • 10Starr SS,Wallace DC. Client perceptions of cultural competence of community-based nurses[J].J Community Health Nuts,20! 1, 28(2) :57-69.

引证文献7

二级引证文献91

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部