Key result
Pre-exercise ECG ApEn and weight-based clustering identify females with heightened neurophysiological responses during exhaustive cycling.
Why the study?
Can pre-exercise resting-state ECG Approximate Entropy predict physiological distress and altered EEG oscillatory activity in elderly adults during exercise?
Cross-Sectional (n=38)
No
Can pre-exercise resting-state ECG Approximate Entropy predict physiological distress and altered EEG oscillatory activity in elderly adults during exercise?
Resting ECG Approximate Entropy and body weight may be useful non-invasive markers to screen elderly individuals for an elevated risk of physiological distress and heart failure prior to initiating exercise interventions.
Answers are grounded in this paper and cite their sources.
May flag exercise-vulnerable elderly females; leaves open prospective validation before any screening use.
Approximate entropy (ApEn) is used as a nonlinear measure of heart-rate variability (HRV) in the analysis of ECG time-series recordings. Previous studies have reported that HRV can differentiate between frail and pre-frail people. In this study, EEGs and ECGs were recorded from 38 elderly adults while performing a three-stage cycling routine. Before and after cycling stages, 5-min resting-state EEGs (rs-EEGs) and ECGs were also recorded under the eyes-open condition. Applying the K-mean classifier to pre-exercise rs-ECG ApEn values and body weights revealed nine females with EEG power which was far higher than that of the other subjects in all cycling stages. The breathing of those females was more rapid than that of other subjects and their average heart rate was faster. Those females also presented higher degrees of asymmetry in the alpha and theta bands (stronger power levels in the right frontal electrode), indicating stressful responses during the experiment. It appears that EEG delta activity could be used in conjunction with a very low ECG frequency power as a predictor of bursts in the heart rate to facilitate the monitoring of elderly adults at risk of heart failure. A resting ECG ApEn index in conjunction with the subject's weight or BMI is recommended for screening high-risk candidates prior to exercise interventions.
No takes yet. Share an insight, caveat, or question.
Liou et al. (2022) conducted a cross-sectional in Healthy elderly adults (n=38). Resting-state ECG Approximate Entropy (ApEn) was evaluated on EEG oscillatory activity and ECG ApEn during cycling stages. K-means classification based on pre-exercise resting ECG ApEn and body weight identified a subset of nine females who exhibited significantly higher EEG power, more rapid breathing, and faster heart rates during exhaustive cycling exercise.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: