Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm
Article
Article Title | Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm |
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ERA Journal ID | 5039 |
Article Category | Article |
Authors | Zhu, Guohun (Author), Li, Yan (Author) and Wen, Peng (Paul) (Author) |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 115 (2), pp. 64-75 |
Number of Pages | 12 |
Year | 2014 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.cmpb.2014.04.001 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0169260714001266 |
Abstract | This paper proposes a fast weighted horizontal visibility graph constructing algorithm (FWHVA) to identify seizure from EEG signals. The performance of the FWHVA is evaluated by comparing with Fast Fourier Transform (FFT) and sample entropy (SampEn) method. Two noise-robustness graph features based on the FWHVA, mean degree and mean strength, are investigated using two chaos signals and five groups of EEG signals. Experimental results show that feature extraction using the FWHVA is faster than that of SampEn and FFT. And mean strength feature associated with ictal EEG is significant higher than that of healthy and inter-ictal EEGs. In addition, an 100% classification accuracy for identifying seizure from healthy shows that the features based on the FWHVA are more promising than the frequency features based on FFT and entropy indices based on SampEn for time series classification. |
Keywords | epilepsy; computational complexity; weighted horizontal visibility graph; mean degree; mean strength |
ANZSRC Field of Research 2020 | 400399. Biomedical engineering not elsewhere classified |
490102. Biological mathematics | |
461399. Theory of computation not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | University of Southern Queensland |
https://research.usq.edu.au/item/q2701/epileptic-seizure-detection-in-eegs-signals-using-a-fast-weighted-horizontal-visibility-algorithm
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