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首页> 外文会议>Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE >Applying approximate entropy and central tendency measure to analyze time series generated by schizophrenic patients
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Applying approximate entropy and central tendency measure to analyze time series generated by schizophrenic patients

机译：应用近似熵和集中趋势量度分析精神分裂症患者产生的时间序列

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The purpose of this study is the analysis of times series generated by 20 schizophrenic patients and 20 age-matched control subjects. We used two methods for quantifying the regularity and variability in the time series. These methods were the Approximate Entropy (ApEn), and a graphical representation by means of the second-order difference plots to estimate the Central Tendency Measure (CTM). Results showed that the degree of irregularity and variability of the time series generated by the schizophrenic patients were lower than time series generated by the control group. Thus, schizophrenic patients tended to generate more regular and rhythmic series than control subjects. There was a significant difference with the ANOVA procedure (p>0.001) between time series generated by both groups. These results were in agreement with findings that schizophrenic patients were characterized by less complex neurobehavioral measurements than normal subjects.
机译：这项研究的目的是分析由20位精神分裂症患者和20位年龄匹配的对照受试者产生的时间序列。我们使用两种方法来量化时间序列中的规律性和变异性。这些方法是近似熵（ApEn），以及通过二阶差异图来估计中央趋势测度（CTM）的图形表示。结果显示，精神分裂症患者产生的时间序列的不规则性和变异性程度低于对照组产生的时间序列。因此，精神分裂症患者倾向于产生比对照组更规则和有节奏的系列。两组产生的时间序列之间的ANOVA程序存在显着差异（p> 0.001）。这些结果与精神分裂症患者的特征在于比正常受试者复杂的神经行为学测量结果一致。

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