Abstract
Cardiovascular and neurological recovery following cardiac arrest (CA) largely influence the morbidity and mortality of the patients. Monitoring the cardiovascular system has been an important clinical issue in intensive care unit (ICU). On the other hand, the rhythms of the heart rate variability following CA are still not fully understood, and there are limited number of literatures reporting the cardiovascular function recovery following CA. In this paper, we studied the scaling properties of heart rate variability (HRV) after CA by centered-moving-average-based detrended fluctuation analysis (DFA). Our results showed that the scaling factor of the baseline HRV is close to that of Brownian motion, and after a CA event it shifts to a 1 / f noise-like rhythm. DFA could be a promising tool in evaluating the cardiovascular long term recovery following CA injury.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Physica A: Statistical Mechanics and its Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
