Next Article in Journal
Two-Dimensional Electronic Transport in Rubrene: The Impact of Inter-Chain Coupling
Next Article in Special Issue
Approximations of Shannon Mutual Information for Discrete Variables with Applications to Neural Population Coding
Previous Article in Journal
LDPC Coded Massive MIMO Systems
Previous Article in Special Issue
Unification of Epistemic and Ontic Concepts of Information, Probability, and Entropy, Using Cognizers-System Model
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Entropy 2019, 21(3), 232; https://doi.org/10.3390/e21030232

Identification of Hypsarrhythmia in Children with Microcephaly Infected by Zika Virus

1
Department of Electrical Engineering, Federal University of Maranhão (UFMA), São Luís-MA 65080-805, Brazil
2
Brain Institute, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil
3
Department of Medicine, University Hospital of the Federal University of Maranhão, São Luís-MA 65080-805, Brazil
4
Department of Public Health, Federal University of Maranhão, São Luís-MA 65080-805, Brasil
5
Program in Biotechnology, Center for Biological Sciences and Health, Federal University of Maranhão (UFMA), São Luís-MA 65080-805, Brazil
*
Author to whom correspondence should be addressed.
Received: 11 January 2019 / Revised: 8 February 2019 / Accepted: 22 February 2019 / Published: 28 February 2019
Full-Text   |   PDF [941 KB, uploaded 28 February 2019]   |  

Abstract

Hypsarrhythmia is an electroencephalographic pattern specific to some epileptic syndromes that affect children under one year of age. The identification of this pattern, in some cases, causes disagreements between experts, which is worrisome since an inaccurate diagnosis can bring complications to the infant. Despite the difficulties in visually identifying hypsarrhythmia, options of computerized assistance are scarce. Aiming to collaborate with the recognition of this electropathological pattern, we propose in this paper a mathematical index that can help electroencephalography experts to identify hypsarrhythmia. We performed hypothesis tests that indicated significant differences in the groups under analysis, where the p-values were found to be extremely small. View Full-Text
Keywords: hypsarrhythmia; electroencephalographic; epileptic; identification; index hypsarrhythmia; electroencephalographic; epileptic; identification; index
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Sousa, G.C.; Queiroz, C.M.; Sousa, P.; Lima, P.; Silva, A.A.M.; Pires, N.; Barros, A.K. Identification of Hypsarrhythmia in Children with Microcephaly Infected by Zika Virus. Entropy 2019, 21, 232.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top