Lahmiri, Salim, Tadj, Chakib et 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 : 9.
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Résumé
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.
| Type de document: | Article publié dans une revue, révisé par les pairs |
|---|---|
| Professeur: | Professeur Tadj, Chakib Gargour, Christian |
| Affiliation: | Génie électrique, Génie électrique |
| Date de dépôt: | 13 sept. 2022 16:16 |
| Dernière modification: | 12 oct. 2022 15:58 |
| URI: | https://espace2.etsmtl.ca/id/eprint/25180 |
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