In this short research communication, a new bio-marker based on information theory for the early diagnosis of Alzheimer’s Disease (AD) is proposed. Permutation Entropy (PE) seems, indeed, a promising feature, easily extracted from the multichannel EEG of a patient, for both measuring the (nonlinear) complexity of the related time series and the effect of slowing which is typically observed in EEG spectra. This feature could be added to other well known bio-markers (like the ratios of spectrum power in different rhythms) in order to improve the sensibility and specificity of the diagnosis and to monitor the possible conversion from Mild Cognitive Impairment (MCI) to AD. A sample result is presented here.
Early Detection of Alzheimer’s Onset with Permutation Entropy Analysis of EEG / Morabito, G; Bramanti, A; Labate, D; Morabito, Francesco Carlo; LA FORESTA, Fabio. - In: NATURAL INTELLIGENCE. - ISSN 2164-8522. - 1:1(2011), pp. 30-32.
Early Detection of Alzheimer’s Onset with Permutation Entropy Analysis of EEG
MORABITO, Francesco Carlo;LA FORESTA, Fabio
2011-01-01
Abstract
In this short research communication, a new bio-marker based on information theory for the early diagnosis of Alzheimer’s Disease (AD) is proposed. Permutation Entropy (PE) seems, indeed, a promising feature, easily extracted from the multichannel EEG of a patient, for both measuring the (nonlinear) complexity of the related time series and the effect of slowing which is typically observed in EEG spectra. This feature could be added to other well known bio-markers (like the ratios of spectrum power in different rhythms) in order to improve the sensibility and specificity of the diagnosis and to monitor the possible conversion from Mild Cognitive Impairment (MCI) to AD. A sample result is presented here.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.