TY - GEN
T1 - Discrimination Amongst Various Degrees of Left Ventricular Ejection Fraction in CAD Patients Using Circadian Heart Rate Variability Features
AU - Alkhodari, Mohanad
AU - Jelinek, Herbert
AU - Werghi, Naoufel
AU - Hadjileontiadis, Leontios
AU - Khandoker, Ahsan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - This study explored how 24-hour Heart Rate Variability (HRV) features differentiate amongst Coronary Artery Disease (CAD) patients with 'at risk', 'borderline', and 'normal' Left Ventricular Ejection Fraction (LVEF). Hourly segmentation of heart rate signals was completed by Cosinor Analysis fitting. Time, frequency, and non-linear HRV features were estimated for each hour and averaged across all CAD patients for each group. Statistical analysis to identify differences between the groups was based on one-way ANOVA test, followed by a multiple comparison analysis (Tukey test). The results showed a statistically significant difference between the three groups when using as discriminative features the normalized low frequency (0.04 to 0.15 Hz) HRV (LF-HRV) power and the sample entropy (SE) occurring only between 2:00-3:00, 18:00-19:00, and 19:00-20:00. In addition, the averaged normal-to-normal values show variation during the night time (from 23:00 to 5:00) between the three groups. These results pave the way for further investigation of the interaction of the sympathetic and parasympathetic nervous systems (as reflected in LF - HRV) and the cardiovascular autonomic regulation (as reflected in SE) in LVEF.
AB - This study explored how 24-hour Heart Rate Variability (HRV) features differentiate amongst Coronary Artery Disease (CAD) patients with 'at risk', 'borderline', and 'normal' Left Ventricular Ejection Fraction (LVEF). Hourly segmentation of heart rate signals was completed by Cosinor Analysis fitting. Time, frequency, and non-linear HRV features were estimated for each hour and averaged across all CAD patients for each group. Statistical analysis to identify differences between the groups was based on one-way ANOVA test, followed by a multiple comparison analysis (Tukey test). The results showed a statistically significant difference between the three groups when using as discriminative features the normalized low frequency (0.04 to 0.15 Hz) HRV (LF-HRV) power and the sample entropy (SE) occurring only between 2:00-3:00, 18:00-19:00, and 19:00-20:00. In addition, the averaged normal-to-normal values show variation during the night time (from 23:00 to 5:00) between the three groups. These results pave the way for further investigation of the interaction of the sympathetic and parasympathetic nervous systems (as reflected in LF - HRV) and the cardiovascular autonomic regulation (as reflected in SE) in LVEF.
UR - http://www.scopus.com/inward/record.url?scp=85091079760&partnerID=8YFLogxK
U2 - 10.1109/ESGCO49734.2020.9158170
DO - 10.1109/ESGCO49734.2020.9158170
M3 - Conference contribution
AN - SCOPUS:85091079760
T3 - 2020 11th Conference of the European Study Group on Cardiovascular Oscillations: Computation and Modelling in Physiology: New Challenges and Opportunities, ESGCO 2020
BT - 2020 11th Conference of the European Study Group on Cardiovascular Oscillations
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020
Y2 - 15 July 2020
ER -
