Abstract
Observations of breathing pattern behavior often show seemingly random characteristics during spontaneous breathing1. Experiments in animals also indicate that important non-linearities are involved in the respiratory rhythm generator2,3,4. The question that can be asked is whether this randomness represents noise or chaos produced by a non-linear system5. This paper reviews the methods of analyzing such data to answer this question including the newer topological (geometric) techniques based on fractal analysis.
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© 1989 Plenum Press, New York
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Yamashiro, S.M. (1989). Distinguishing Random from Chaotic Breathing Pattern Behavior. In: Khoo, M.C.K. (eds) Modeling and Parameter Estimation in Respiratory Control. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0621-4_14
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DOI: https://doi.org/10.1007/978-1-4613-0621-4_14
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-7896-2
Online ISBN: 978-1-4613-0621-4
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