Key result
A fundamental bi-scaling law for multiscale entropy was derived, demonstrating that the scale parameter in phase space is more critical than the block size for distinguishing healthy subjects from patients with congestive heart failure.
Population
Physiological data including heart rate variability data from healthy subjects and patients with congestive…
Design
Other
Authors
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Refines multiscale entropy for heart failure discrimination; leaves open prospective clinical validation.
The derivation of a bi-scaling law for multiscale entropy provides an analytic foundation for its application in distinguishing physiological states such as heart failure and epilepsy.
Gao et al. (2015) studied Congestive Heart Failure and Epilepsy. Multiscale entropy (MSE) analysis was evaluated on Classification of healthy subjects versus patients with congestive heart failure or epilepsy. A fundamental bi-scaling law for multiscale entropy was derived, demonstrating that the scale parameter in phase space is more critical than the block size for distinguishing healthy subjects from patients with congestive heart failure.
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