Key result
Heart failure was associated with significantly reduced heart rate variability compared to healthy individuals, including a lower SDNN (114.06 vs 142.18 ms, p<0.0001).
Why the study?
Distinguishing between diseased individuals and healthy individuals using heart rate variability is an ongoing challenge.
Does time and frequency domain analysis of heart rate variability distinguish heart failure patients from healthy individuals?
Cross-Sectional (n=46)
No
Does time and frequency domain analysis of heart rate variability distinguish heart failure patients from healthy individuals?
Mathematical analysis of 24-hour Holter monitoring data demonstrates significantly reduced heart rate variability in heart failure patients, providing a quantitative method to distinguish them from healthy individuals.
The paper presents a mathematically based analysis of heart rate variability of two groups cardiology records: healthy individuals and patients diagnosed with heart failure. The main objective of the study is to perform a parametric evaluation of the cardiovascular system of the human body using time domain and frequency domain analysis of heart rate variability. Making distinguish between diseased individuals and healthy individuals is an interesting challenge that contemporary researchers are working on. Cardiologic records obtained through continuous Holter monitoring (24 hours) were used to address the issues in this study. The obtained results show significantly reduced values of most of the studied parameters in the time domain and the frequency domain in patients with heart failure compared to healthy individuals. The low values of the studied parameters indicate low variability of heart rate and poor overall health status. The graphical results of two study groups are shown when applying the modified Welch periodogram. These graphical results give a visual idea of the variability of time series in healthy and diseased individuals. The obtained numeric and graphical results show that heart failure patients can be distinguished from healthy individuals. The applied mathematical methods in heart rate variability studying can be used as an aid in the cardiology practice of doctors.
No takes yet. Share an insight, caveat, or question.
Galya Georgieva-Tsaneva (2019) conducted a cross-sectional in Heart failure (n=46). Heart failure vs. Healthy individuals was evaluated on SDNN (Standard deviation of all NN intervals) (p=<0.0001). Heart failure was associated with significantly reduced heart rate variability compared to healthy individuals, including a lower SDNN (114.06 vs 142.18 ms, p<0.0001).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: