Key result
Analysis of 7-day Holter recordings up to 100 time scales showed that Multiscale Entropy (MSE) exhibited the lowest bias and variance, with reduced standard error compared to 1-day recordings.
Why the study?
There is limited knowledge on the suitability and robustness of nonlinear multiscale HRV measurements to characterize cardiac dynamics during long-term monitoring across several days.
Population
Patients with Atrial Fibrillation and with Congestive Heart Failure
Comparison
Three multiscale nonlinear HRV methods analyzed across 7-day vs up to 24-h recordings
Authors
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Extended monitoring may improve MSE reliability in practice; leaves open whether it refines cardiovascular risk prediction.
Multiscale Entropy provides robust characterization of heart rate variability with reduced variance in 7-day Holter recordings compared to standard 24-hour monitoring.
El-Yaagoubi et al. (2019) studied Atrial Fibrillation and Congestive Heart Failure. Multiscale indices (MSE, MTI, MFS) vs. 1-day Holter recordings was evaluated on Robustness properties (bias and variance) of multiscale estimators. Analysis of 7-day Holter recordings up to 100 time scales showed that Multiscale Entropy (MSE) exhibited the lowest bias and variance, with reduced standard error compared to 1-day recordings.
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