This paper introduces a modified technique based on Hilbert-Huang transform (HHT) to
improve the spectrum estimates of heart rate variability (HRV). In order to make the beat-to …

In this study, a framework for the characterization of the dynamic interactions between RR
variability (RRV) and systolic arterial pressure variability (SAPV) is proposed. The …

Towards develo** a rigorous mathematical theory for Empirical Mode Decomposition
(EMD), we provide an overview of the algorithm and introduce a corresponding operator …

Heart rate variability (HRV) is a well-accepted indicator for neural regulatory mechanisms in
cardiovascular circulation. Its spectrum analysis provides the powerful means of observing …

OBJECTIVE: To assess the autonomic nervous system (ANS) in coma by heart rate
variability (HRV). METHODS: Sixteen comatose patients and 22 normal subjects with …

Multichannel data-driven time-frequency algorithms, such as the multivariate empirical mode
decomposition (MEMD), have emerged as important tools in the analysis of inter-channel …

A methodology that combines information from several nonstationary biological signals is
presented. This methodology is based on time‐frequency coherence, that quantifies the …

The present paper compares the performance of two Hilbert spectral analyses when applied
to a synthetic RR series from a nonstationary integral pulse frequency modulation model …

Some hypotheses relate oscillations of EEG band power with autonomic processes derived
from homeostatic control modulated by structures like the Central Autonomic Network and …

The aim of this study is to propose a new baroreflex sensitivity (BRS) index using improved
Hilbert–Huang transform (HHT) using weighted coherence (CW) criterion and apply it to …