Delta-Fuzzy Similarity Entropy to Discriminate Healthy from Sick Fetus
Abstract
This paper deals with the discrimination between suffering and healthy fetuses, by means of a delta-fuzzy-similarity entropy. This new descriptor of complexity is based on the derivative of the fuzzy-similarity entropy. It was tested on fetal heart rate time-series and compared to the approximated and similarity entropies. The main outcome was the possibility to improve 10% the specificity and the sensitivity as compared to approximate entropy. This very good performance confirms that the new descriptor can be a valuable alternative as compared to other standard descriptors.
Domains
Physics [physics] Physics [physics] Medical Physics [physics.med-ph] Physics [physics] Physics [physics] Computational Physics [physics.comp-ph] Physics [physics] Mechanics [physics] Acoustics [physics.class-ph] Engineering Sciences [physics] Signal and Image processing Life Sciences [q-bio] Bioengineering Physics [physics] Physics [physics] Data Analysis, Statistics and Probability [physics.data-an] Mathematics [math] Dynamical Systems [math.DS] Mathematics [math] Complex Variables [math.CV] Mathematics [math] Mathematical Physics [math-ph] Computer Science [cs] Computational Complexity [cs.CC] Computer Science [cs] Signal and Image Processing Nonlinear Sciences [physics] Chaotic Dynamics [nlin.CD] Engineering Sciences [physics] Acoustics [physics.class-ph]
Origin : Files produced by the author(s)
Loading...