Abstract：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 CRSR 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 CRSR score, and then were used to brain mapping for visual characterization. The CRSR score changes significantly both for MCS and VS patients (P<001). Approximate entropy and complexity LZC changes significantly for MCS patients (P<005), while only approximate entropy changes significantly for VS patients (P<005). There has significantly positive correlation of score changes between CRSR and nonlinear characteristics (approximate entropy for both MCS and VS, complexity LZC for MCS only), the correlation coefficients were calculated, 0851 and 0693 for MCS (approximate entropy and complexity LZC), and 0778 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.
郝学良1 杨文伟1 李景琦2 刘小平1 李轶1 赵. 严重意识障碍患者康复过程EEG非线性特征与CRSR评分相关性分析与可视化表征[J]. 中国生物医学工程学报, 2015, 34(2): 153-159.
Hao Xueliang1Yang Wenwei1Li Jingqi2 Liu Xiaoping1. Correlation Analysis of Nonlinear Characteristics in EEG with CRSR Score and Visual Characterization of Rehabilitation Process in DOC Patients. journal1, 2015, 34(2): 153-159.
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