Assessing Nonlinear Properties in Breathing Signals from Preterm Infants
| Autor: | Navarro, Xavier, Porée, Fabienne, Beuchée, Alain, Carrault, Guy |
|---|---|
| Přispěvatelé: | Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Le Corre, Morgane, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM) |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
[SDV.IB] Life Sciences [q-bio]/Bioengineering
Surrogate-data test [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing Breathing Preterm infants [SDV.IB]Life Sciences [q-bio]/Bioengineering Nonlinear Noise titration [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | International Journal of bioelectromagnetism International Journal of bioelectromagnetism, 2013, 15 (1), pp.102-108 International Journal of bioelectromagnetism, International Society for Bioelectromagnetism, 2013, 15 (1), pp.102-108 |
| ISSN: | 1456-7865 1456-7857 |
| Popis: | International audience; Breathing signals from preterm infants are studied with the noise titration technique and surrogate-data analysis using nonlinear indexes from correlation dimension and sample entropy. We verify that most analyzed breathing time-series contains nonlinear dynamics, and their strengths become more significant as maturational aspects (weight and post-conceptional age) increase. This behavior is partially followed in variability-series extracted from five-minute breathing signals. We also observe that entropy and titration based tests were more robust than correlation dimension in short and noisy signals. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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