Are Complexity Metrics Reliable in Assessing HRV Control in Obese Patients During Sleep?

ABSTRACT: Obesity is associated with cardiovascular mortality. Linear methods, including time domain and frequency domain analysis, are normally applied on the heart rate variability (HRV) signal to investigate autonomic cardiovascular control, whose imbalance might promote cardiovascular disease in these patients. However, given the cardiac activity non-linearities, non-linear methods might provide better insight. HRV complexity was hereby analyzed during wakefulness and different sleep stages in healthy and obese subjects. Given the short duration of each sleep stage, complexity measures, normally extracted from long-period signals, needed be calculated on short-term signals. Sample entropy, Lempel-Ziv complexity and detrended fluctuation analysis were evaluated and results showed no significant d

SUBMITTER: Cabiddu R 

PROVIDER: S-EPMC4404104 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature