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吴东宇,彭享胜,刘 霖,袁 英,李广庆,蔡 刿,王茂斌.近似熵和互近似熵脑电非线性分析在意识障碍评价中的应用[J].中国康复医学杂志,2008,23(8):679~699
近似熵和互近似熵脑电非线性分析在意识障碍评价中的应用    点此下载全文
吴东宇  彭享胜  刘 霖  袁 英  李广庆  蔡 刿  王茂斌
首都医科大学宣武医院康复医学科,北京,100053
基金项目:国家自然科学基金资助课题(30600186)
DOI:
摘要点击次数: 2423
全文下载次数: 1962
摘要:
      目的:利用近似熵和互近似熵脑电非线性分析方法评价意识障碍程度,研究其非线性动力学特性的变化规律。方法:本研究病例组由30例严重颅脑外伤或卒中的意识障碍患者组成,所有患者经临床以及神经电生理方法评估。30例正常意识状态的脑损伤患者作为对照组。所有患者依次采集安静闭眼、声音刺激和痛觉刺激三种状态下的脑电信号,并计算脑电信号的近似熵和互近似熵非线性指数。结果:三种状态下,病例组的非线性指数均明显低于对照组。对照组在声音刺激和痛觉刺激状态下,近似熵和互近似熵非线性指数明显高于安静闭眼状态。病例组声音刺激和痛觉刺激与安静闭眼状态相比,脑电非线性指数几乎无变化。结论:近似熵和互近似熵非线性指数均能够直接用于评估意识障碍患者大脑皮质受抑制的程度。互近似熵能够同时反映大脑功能活动在时间上和空间上的变化特点,脑电非线性分析能提供有关意识觉醒和知晓水平的信息。
关键词:脑电描记术  非线性动力学  意识障碍  近似熵
A study on unconsciousness with approximate entropy and cross approximate entropy    Download Fulltext
Xuanwu Hospital of Capital Medical University, Beijing, 100053
Fund Project:
Abstract:
      Objective:To quantify the severity of unconsciousness with (electroencephalography,EEG) nonlinear dynamics analysis of approximate entropy (ApEn) and cross-approximate entropy (cross-ApEn) and to investigate the regularity of changes of EEG nonlinear properties. Method:The patient group included thirty unconscious patients with severe brain trauma or stroke. All of them were diagnosed as unconsciousness with clinical and electrophysiological assessment. Thirty brain injuries patients with normal conscious state were acted as control group. EEG were recorded in all subjects under three states: eyes closed, nociceptive stimulus and auditory stimulus. EEG nonlinear indexes of ApEn and cross-ApEn were calculated for all subjects. Result:EEG nonlinear indexes in patient group were significantly lower than that in control group under all states. In control group, there were significant differences for different states with ApEn and cross-ApEn indexes. Compared with eyes closed state, ApEn and cross-ApEn indexes were higher under nociceptive and auditory stimulus state. In patient group, there was no significant difference for different states with both nonlinear indexes. Conclusion:With EEG nonlinear dynamics analysis of ApEn and cross-ApEn, the degree of suppression of brain cortex in unconscious patients could be directly measured. EEG nonlinear dynamics analysis of cross-ApEn is a more promising method for investigation of consciousness (especially for the level of awareness) because it can reflect both temporal and spatial changes of brain function. EEG nonlinear dynamics analysis could provide information about awake and awareness level of consciousness.
Keywords:electroencephalography  nonlinear dynamics  unconsciousness  approximate entropy
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