Abstract
Frequently we must to analyze biomedical signals with irregular characteristics or noised but having useful information or underlying structures. Multi-fractal analysis is a powerful method to study complex dynamics and irregular phenomena. It provides the singular spectrum, giving us useful parameters for this interpretation.
In this sense, this spectrum can be considered an appropriate estimator of the physiologic system adaptability and it led us to conclude that complexity is correlated with the self-regulation.
There are many alternatives to estimate the spectrum. In this work we propose the Multi-fractal Detrended Analysis (MFDFA) for these purposes. It is applied to cardiac signals in order to explore the capacity and performance of the methodology in this field.
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La Mura, G., Figliola, A., Serrano, E. (2007). Comparación Mediante el Espectro Multifractal de dos Señales Cardíacas. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_39
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DOI: https://doi.org/10.1007/978-3-540-74471-9_39
Publisher Name: Springer, Berlin, Heidelberg
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