Multivariate multi-scale weighted permutation entropy analysis of EEG complexity for Alzheimer’s disease
نویسندگان
چکیده
منابع مشابه
Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer's Disease EEG
An original multivariate multi-scale methodology for assessing the complexity of physiological signals is proposed. The technique is able to incorporate the simultaneous analysis of multi-channel data as a unique block within a multi-scale framework. The basic complexity measure is done by using Permutation Entropy, a methodology for time series processing based on ordinal analysis. Permutation...
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The number of patients suffering from Alzheimer’s disease (AD) is rapidly increasing. A variety of sophisticated techniques have been proposed to early detect the precursors of AD to help predict the conversion from Mild Cognitive Impairment (MCI) to AD. The complexity of EEG signals is believed to face an average reduction during the course of the disease. This paper reports preliminary studie...
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Diabetes is a significant public health issue as it increases the risk for dementia and Alzheimer’s disease (AD). In this study, we aim to investigate whether weighted-permutation entropy (WPE) and permutation entropy (PE) of resting-state EEG (rsEEG) could be applied as potential objective biomarkers to distinguish type 2 diabetes patients with amnestic mild cognitive impairment (aMCI) from th...
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Introduction and Aims: Alzheimer’s disease is the most prevalent neurodegenerative disorder and a type of dementia. 80% of dementia in older adults is because of Alzheimer’s disease. According to multiple research articles, Alzheimer's has several changes in EEG signals such as slowing of rhythms, reduction in complexity and reduction in functional associations, and disordered functional commun...
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Permutation entropy (PE) has been recently suggested as a novel measure to characterize the complexity of nonlinear time series. In this paper, we propose a simple method to address some of PE's limitations, mainly its inability to differentiate between distinct patterns of a certain motif and the sensitivity of patterns close to the noise floor. The method relies on the fact that patterns may ...
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ژورنال
عنوان ژورنال: Cognitive Neurodynamics
سال: 2016
ISSN: 1871-4080,1871-4099
DOI: 10.1007/s11571-016-9418-9