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[α稳定噪声条件下诱发电位自适应潜伏期变化检测算法的开发]

[The development of algorithms for adaptive latency change detection of evoked potentials under alpha-stable noise conditions].

作者信息

Ding Xuejun, Qiu Tianshuang

机构信息

Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Jun;23(3):660-4.

Abstract

The latency change detection of EPs is of special interest in many clinical applications such as diagnosis of the injury and pathological changes in the nervous system. This paper reviews the adaptive latency change detection approaches under stable noise conditions, based on the fractional lower order statistics. It also evaluates and compares the performances of the presented algorithms.

摘要

在许多临床应用中,如神经系统损伤和病理变化的诊断,诱发电位(EP)潜伏期变化检测具有特殊意义。本文综述了基于分数低阶统计量的稳定噪声条件下的自适应潜伏期变化检测方法。同时,对所提出算法的性能进行了评估和比较。

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