Name
Title | ||
|---|---|---|
Cardiovascular And Respiratory Variability During Orthostatic And Mental Stress: A Comparison Of Entropy Estimators |
Abstract | ||
|---|---|---|
The aim of this study is to characterize cardiovascular and respiratory signals during orthostatic and mental stress as reflected in indices of entropy and complexity, providing a comparison between the performance of different estimators. To this end, the heart rate variability, systolic blood pressure, diastolic blood pressure and respiration time series were extracted from the recordings of 61 healthy volunteers undergoing a protocol consisting of supine rest, head-up tilt test and mental arithmetic task. The analysis was performed in the information domain using measures of entropy and conditional entropy, estimated through model-based (linear) and model-free (binning, nearest neighbor) approaches. Our results show that different types of stress elicited different responses in the employed indices. On one hand, entropy mainly reflected known changes in the variance of physiological time series. On the other hand, the information conveyed by conditional entropy allowed to characterize the complexity of the four time series during the two stress tasks: we found that cardiac and vascular dynamics underwent a reduction in complexity as a consequence of postural stress, while vascular and respiratory complexity increased as a result of mental stress. As for the performance of different estimators, we did not find substantial differences between model-based and model-free approaches, possibly indicating that significant non-linear dynamics did not appear in the studied conditions. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/EMBC.2017.8037606 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Respiratory system,Artificial intelligence,Blood pressure,Mental stress,Supine position,Orthostatic vital signs,Computer vision,Heart rate variability,Speech recognition,Conditional entropy,Statistics,Mathematics,Estimator | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 0 | 0.34 |
References | Authors | |
1 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martina Valente | 1 | 0 | 0.34 |
| Michal Javorka | 2 | 39 | 10.94 |
| Zuzana Turianikova | 3 | 11 | 5.82 |
| Barbora Czippelova | 4 | 8 | 5.63 |
| Jana Krohova | 5 | 13 | 4.45 |
| Giandomenico Nollo | 6 | 22 | 5.58 |
| Luca Faes | 7 | 175 | 28.91 |