非平稳ERP信号的非广泛熵分析

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI:10.1109/ICNNSP.2003.1279398

M. Shen, Qianhua Zhang, P. Beadle

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引用次数: 2

摘要

本文提出了一种由非扩展熵定义的熵的测量方法，即tsallis类时间相关熵(TDE)，用于研究事件相关电位(erp)。TDE携带与多频信号响应相关的有序或无序程度的信息。研究了不同信号分布下TDE的统计特性。对几个健康受试者在特定认知任务中记录的ERP信号进行TDE估计。熵的显著降低与目标刺激的反应相关(P300)。实验结果表明，TDE可以作为监测erp活动和其他信号处理的定量测量方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Nonextensive entropy analysis of non-stationary ERP signals

The application of a measurement of entropy defined from the nonextensive entropy, the Tsallis-like time-dependent entropy (TDE), is proposed to investigate the event-related potential (ERPs). The TDE carries information about the degree of order or disorder associated with a multi-frequency signal response. The statistical characteristics of the TDE for different signal distributions are studied. TDE was estimated for the ERP signals recorded from several healthy subjects with a specified cognitive task. A significant decrease of entropy was correlated with the responses to target stimulus (P300). The experimental results indicate that the TDE can be employed as a quantitative measurement for monitoring the ERPs activities and other signal processing.

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International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

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