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Coarse-Grained Multifractality Analysis Based on Structure Function Measurements to Discriminate Healthy from Distressed Foetuses
Author(s) -
Souad Oudjemia,
Amira J. Zaylaa,
Salah Haddab,
JeanMarc Girault
Publication year - 2013
Publication title -
computational and mathematical methods in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 48
eISSN - 1748-6718
pISSN - 1748-670X
DOI - 10.1155/2013/152828
Subject(s) - multifractal system , hurst exponent , singularity , function (biology) , exponent , pattern recognition (psychology) , mathematics , statistics , computer science , fractal , artificial intelligence , mathematical analysis , biology , linguistics , philosophy , evolutionary biology
This paper proposes a combined coarse-grained multifractal method to discriminate between distressed and normal foetuses. The coarse-graining operation was performed by means of a coarse-grained procedure and the multifractal operation was based on a structure function. The proposed method was evaluated by one hundred recordings including eighty normal foetuses and twenty distressed foetuses. We found that it was possible to discriminate between distressed and normal foetuses using the Hurst exponent, singularity, and Holder spectra.

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