… This study used an open, randomized, crossover design with baseline, stress, and …
parameters including heart rate variability (HRV) indexes in the stress and relaxation phases. …

… Keep the NaN operator in mind as, later on, we will see how NaN will play a major role in
PPG signal analysis. MATLAB has a few built-in functions for working with NaNs; for instance, …

… , heart rate variability (HRV) is an established ECG signal … For the purpose of this study, CD
diagnosis included both CD … adapted for ECG signal analysis in the current study. We have …

… In this naturalistic cross-over field experiment, we investigate bicyclist stress through heart
rate variability (HRV). We examine the relationship between HRV and the road environment …

… the need for the production of quantified occupational health (… smart watch used a heart rate
monitor and accelerometer to … promising results for depression diagnosis, though currently …

… is also utilized for quantitative analysis of the LV ejection … on heart rate variability through
bispectrality analysis and … predictive framework for ECG signal processing. A global classifier …

… signal processing in the time domain. Activity represents the … to define information in signals
quantitatively. It describes the … signals, our proposed system would determine a diagnosis …

… to study time series, particularly the instantaneous heart rate time series for the heart rate
variability (HRV) analysis. … In practice, the heart rhythm is quantified by the time series called …

… Findings from this study can provide quantitative evidence to elucidate the associations …
events, the heterogeneity was explained by the type of diagnosis (p < .01). Lower HRV was …

… Because of the high mortality rates in heart disease, early diagnosis and definitive … network
that utilizes heart rate (HR) signals as input for the recognition of AF and normal signals. Gao …