학술논문

Identification of Hypsarrhythmia in Children with Microcephaly Infected by Zika Virus
Document Type
article
Source
Entropy, Vol 21, Iss 3, p 232 (2019)
Subject
hypsarrhythmia
electroencephalographic
epileptic
identification
index
Science
Astrophysics
QB460-466
Physics
QC1-999
Language
English
ISSN
1099-4300
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.