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Nonlinear statistical analysis of normal and pathological infant cry signals in cepstrum domain by multifractal wavelet leaders

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Lahmiri, Salim, Tadj, Chakib and Gargour, Christian. 2022. « Nonlinear statistical analysis of normal and pathological infant cry signals in cepstrum domain by multifractal wavelet leaders ». Entropy, vol. 24, nº 8.
Compte des citations dans Scopus : 8.

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Abstract

Multifractal behavior in the cepstrum representation of healthy and unhealthy infant cry signals is examined by means of wavelet leaders and compared using the Student t-test. The empirical results show that both expiration and inspiration signals exhibit clear evidence of multifractal properties under healthy and unhealthy conditions. In addition, expiration and inspiration signals exhibit more complexity under healthy conditions than under unhealthy conditions. Furthermore, distributions of multifractal characteristics are different across healthy and unhealthy conditions. Hence, this study improves the understanding of infant crying by providing a complete description of its intrinsic dynamics to better evaluate its health status.

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Tadj, Chakib
Gargour, Christian
Affiliation: Génie électrique, Génie électrique
Date Deposited: 13 Sep 2022 16:16
Last Modified: 12 Oct 2022 15:58
URI: https://espace2.etsmtl.ca/id/eprint/25180

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