Distance-Based Lempel–Ziv Complexity for the Analysis of Electroencephalograms in Patients with Alzheimer’s Disease
The analysis of electroencephalograms (EEGs) of patients with Alzheimer’s disease (AD) could contribute to the diagnosis of this dementia. In this study, a new non-linear signal processing metric, distance-based Lempel–Ziv complexity (dLZC), is introduced to characterise changes between pairs of ele...
Main Authors: | Samantha Simons, Daniel Abásolo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/19/3/129 |
Similar Items
-
Characterisation of the Effects of Sleep Deprivation on the Electroencephalogram Using Permutation Lempel–Ziv Complexity, a Non-Linear Analysis Tool
by: Pinar Deniz Tosun, et al.
Published: (2017-12-01) -
A Lempel-Ziv like approach for signal classification
by: J. Montalvão, et al. -
The Cardiodynamicsgram Based Early Detection of Myocardial Ischemia Using the Lempel-Ziv Complexity
by: Qinghua Sun, et al.
Published: (2020-01-01) -
Complexity Changes in Brain Activity in Healthy Ageing: A Permutation Lempel-Ziv Complexity Study of Magnetoencephalograms
by: Elizabeth Shumbayawonda, et al.
Published: (2018-07-01) -
Intelligent Fault Diagnosis of Rotating Machinery Using Hierarchical Lempel-Ziv Complexity
by: Bing Han, et al.
Published: (2020-06-01)