Heart failure is known to influence heart rhythm in patients. Complexity analysis techniques, including techniques associated with entropy, have great potential for providing a better understanding of cardiac rhythms, and for helping research in this area. We review the analysis principles of conventional time-domain analysis, frequency-domain analysis and of newer complexity analysis. We then illustrate the techniques using real clinical data, allowing a comparison of the techniques, and also of the differences between normal heart rate variability and that associated with heart failure.
CITATION STYLE
Liu, C., & Murray, A. (2017). Applications of complexity analysis in clinical heart failure. In Complexity and Nonlinearity in Cardiovascular Signals (pp. 301–325). Springer International Publishing. https://doi.org/10.1007/978-3-319-58709-7_11
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