Título:
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Analysis of the breathing pattern in elderly patients using the Hurst exponent applied to the respiratory flow signal
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Autor/a:
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Tellez Gabriel, Juan Pablo; Herrera, Sergio; Benito Vales, Salvador; Giraldo Giraldo, Beatriz
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Institut de Bioenginyeria de Catalunya; Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation |
Abstract:
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Due to the increasing elderly population and the extensive number of comorbidities that affect them, studies are required to determine future increments in admission to emergency departments. Some of these studies could focus on the relation between chronic diseases and breathing pattern in elderly patients. Variations in the fractal properties of respiratory signals can be associated with several diseases. To determine the relationship between these variations and breathing patterns, and to quantify the fractal properties of respiratory flow signals, we estimated the Hurst exponent
(H). Detrended fluctuation analysis (DFA) and discrete wavelet
transform-based estimation (DWTE) methods were applied. The estimation methods were analyzed using simulated data series generated by fractional Gaussian noise. 43 elderly patients (19 patients with a non-periodic breathing pattern - nPB, and 24
patients with a periodic breathing pattern - PB) were studied.
The results were evaluated according to the length of data
and the number of averaged data series used to obtain a good
estimation. The DWTE method estimated the respiratory flow
signals better than the DFA method, and obtained Hurst values
clustered by group. We found significant differences in the H exponent (p = 0.002) between PB and nPB patients, which showed different behavior in the fractal properties. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica -Medical electronics -Respiració |
Derechos:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
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