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What Can Biosignal Entropy Tell Us About Health and Disease? Applications in Some Clinical Fields

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dc.contributor.author Vargas, Borja
dc.contributor.author Cuesta-Frau, David
dc.contributor.author Ruiz Esteban, Raúl
dc.contributor.author Cirugeda Roldán, Eva María
dc.contributor.author Varela, Manuel
dc.date.accessioned 2019-02-13T12:45:33Z
dc.date.available 2019-02-13T12:45:33Z
dc.date.issued 2015
dc.identifier.citation Vargas, B., Cuesta-Frau, D., Ruiz Esteban, R., Cirugeda Roldán, E. M.,Varela, M. (2015). What Can Biosignal Entropy Tell Us About Health and Disease? Applications in Some Clinical Fields. Nonlinear Dynamics, Psychology, and Life Sciences, 19(4), 419-436. spa
dc.identifier.issn 1090-0578
dc.identifier.uri http://hdl.handle.net/11268/7803
dc.description.abstract Many physiological systems are paradigmatic examples of complex networks, displaying behaviors best studied by means of tools derived from nonlinear dynamics and fractal geometry. Furthermore, while conventional wisdom considers health as an 'orderly' situation (and diseases are often called 'disorders'), truth is that health is characterized by a remarkable (pseudo)-randomness, and the loss of this pseudo-randomness (i.e., the 'decomplex-ification' of the system's output) is one of the earliest signs of the system's dysfunction. The potential clinical uses of this information are evident. However, the instruments used to assess complexity are still under debate, and these tools are just beginning to find their place at the bedside. We present a brief overview of the potential uses of complexity analysis in several areas of clinical medicine. We comment on the metrics most frequently used, and we review specifically their application on certain neurologic diseases, aging, diabetes, febrile diseases and the critically ill patient. spa
dc.description.sponsorship SIN FINANCIACIÓN spa
dc.language.iso eng spa
dc.title What Can Biosignal Entropy Tell Us About Health and Disease? Applications in Some Clinical Fields spa
dc.type article spa
dc.description.impact 0.979 JCR (2015) Q3, 29/49 Social Sciences, Mathematical Methods; Q4, 12/13 Psychology, Mathematical spa
dc.rights.accessRights closedAccess spa
dc.subject.uem Medicina clínica spa
dc.subject.uem Entropía spa
dc.subject.uem Fisiopatología spa
dc.subject.unesco Medicina clínica spa
dc.subject.unesco Patología spa
dc.subject.unesco Fisiología humana spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa


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