Key result
Statistical fractal dimension analysis of cardiac dynamics successfully differentiated normal cardiac dynamics from acute dynamics.
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Statistical fractal dimension can be used to characterize cardiac dynamics and differentiate normal from acute states.
The complexity of those systems that can be studied from frequency distributions can be characterized with the statistical fractal dimension. A methodology of diagnostic evaluation of the cardiac dynamics was developed from this dimension, allowing differentiating normal dynamics from those with acute dynamics.
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Rodríguez et al. (2017) studied this question. Statistical fractal dimension analysis of cardiac dynamics successfully differentiated normal cardiac dynamics from acute dynamics.
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