Diagnosis of Alzheimer's Disease from EEG Signals: Where Are We Standing?
Diagnosis of Alzheimer's Disease from EEG Signals: Where Are We Standing?
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DOI：
10.2174/156720510792231720
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发表时间：
2010-09-01
影响因子：
2.1
通讯作者：
Cichocki, A.
中科院分区：
文献类型：
--
作者：
Dauwels, J.;Vialatte, F.;Cichocki, A.
本文综述了近年来脑电在阿尔茨海默病(AD)诊断中的研究进展。AD对脑电信号的影响主要有三个方面：脑电信号减慢、脑电信号复杂度降低和脑电信号同步性扰动。近年来，已经提出了各种复杂的计算方法来检测AD患者脑电中的这些细微扰动。本文首先描述了尝试检测脑电减慢的方法。接下来，本文讨论了脑电复杂性的几种测量方法，并解释了如何使用这些测量方法来研究AD患者脑电复杂性的波动。然后在AD诊断的背景下考虑了脑电信号同步性的各种度量，并简要讨论了脑电的预处理问题。在可以分析脑电之前，必须去除由于例如头部和眼睛的运动或来自电子设备的干扰而产生的伪影。近年来，脑电信号的预处理受到了人们的广泛关注。本文概述了几种最新的预处理技术，如基于盲源分离和其他非线性滤波范例的方法，并概述了基于脑电的计算方法在AD诊断中的机遇和局限性。最后，对未来的挑战和有待解决的问题进行了讨论。
This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from electroencephalograms (EEG). Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony. In recent years, a variety of sophisticated computational approaches has been proposed to detect those subtle perturbations in the EEG of AD patients. The paper first describes methods that try to detect slowing of the EEG. Next the paper deals with several measures for EEG complexity, and explains how those measures have been used to study fluctuations in EEG complexity in AD patients. Then various measures of EEG synchrony are considered in the context of AD diagnosis.Also the issue of EEG preprocessing is briefly addressed. Before one can analyze EEG, it is necessary to remove artifacts due to for example head and eye movement or interference from electronic equipment. Pre-processing of EEG has in recent years received much attention. In this paper, several state-of-the-art pre-processing techniques are outlined, for example, based on blind source separation and other non-linear filtering paradigms.In addition, the paper outlines opportunities and limitations of computational approaches for diagnosing AD based on EEG. At last, future challenges and open problems are discussed.