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ThinkMind // BIOTECHNO 2019, The Eleventh International Conference on Bioinformatics, Biocomputational Systems and Biotechnologies // View article biotechno_2019_1_20_70062


Combination of Tsallis Entropy and Higutch Fractal Dimension for Quantifying Changes in EEG signals in Alzheimer’s Disease

Authors:
Apostolos C. Tsolakis
Olga Kapetanou
George Petsos
Ioannis Nikolaidis
Elias C. Aifantis

Keywords: EEG, Tsallis Entropy, Higuchi Fractal Dimension, Bioinformatics

Abstract:
Alzheimer’s Disease (AD) is one of the challenges of modern medicine since no cure has been found yet, the scientific community still doesn’t fully understand the pathogenesis behind it, and any interventions found can delay the progress for only a limited amount of time. Over the years, research has shifted from curing the disease to understanding the mechanisms behind it as well as finding tools that will speed up diagnosis many years before its clinical manifestation, when the decline begins. One of the many promising tools that have been explored towards that direction is the electroencephalogram (EEG), which holds many different measures that can be used as biomarkers for early diagnosis and differentiation from other neurodegenerative disorders by exploiting various bio-informatics techniques. Literature has presented a high correlation between EEG signals and structural abnormalities in AD. However, there hasn’t been an analysis that can provide a clear result that binds the two and leads to early diagnosis, and very few studies have explored early stages of AD, such as Mild Cognitive Impairment. Moreover, most of the approaches applied do not adopt a multimodal methodology that combines different analysis methods. To that end, the present work proposes the combination of Tsallis Entropy and Higuchi Fractal Dimension, in a common framework for either the entire EEG or on each frequency separately, to examine the performance in Mild Cognitive Impairment (MCI) and AD subjects.

Pages: 3 to 7

Copyright: Copyright (c) IARIA, 2019

Publication date: June 2, 2019

Published in: conference

ISSN: 2308-4383

ISBN: 978-1-61208-717-7

Location: Athens, Greece

Dates: from June 2, 2019 to June 6, 2019

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