Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices
The time-resolved analysis of heart rate (HR) and heart rate variability (HRV) is crucial for the evaluation of the dynamic changes of autonomic activity under different clinical and behavioural conditions. Standard HRV analysis is performed in the frequency domain because the sympathetic activation...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Royal Society
2025-01-01
|
| Series: | Royal Society Open Science |
| Subjects: | |
| Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.240750 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841536092073885696 |
|---|---|
| author | Diego Candia-Rivera Fabrizio de Vico Fallani Mario Chavez |
| author_facet | Diego Candia-Rivera Fabrizio de Vico Fallani Mario Chavez |
| author_sort | Diego Candia-Rivera |
| collection | DOAJ |
| description | The time-resolved analysis of heart rate (HR) and heart rate variability (HRV) is crucial for the evaluation of the dynamic changes of autonomic activity under different clinical and behavioural conditions. Standard HRV analysis is performed in the frequency domain because the sympathetic activations tend to increase low-frequency HRV oscillations, while the parasympathetic ones increase high-frequency HRV oscillations. However, a strict separation of HRV into frequency bands may cause biased estimations, especially in the low-frequency range. To overcome this limitation, we propose a robust estimator that combines HR and HRV dynamics, based on the correlation of the Poincaré plot descriptors of interbeat intervals from the electrocardiogram. To validate our method, we used electrocardiograms gathered from open databases where standardized paradigms were applied to elicit changes in autonomic activity. Our proposal outperforms the standard spectral approach for the estimation of low- and high-frequency fluctuations in HRV, and its performance is comparable with newer methods. Our method constitutes a valuable, robust, time-resolved and cost-effective tool for a better understanding of autonomic activity through HR and HRV in a healthy state and potentially for pathological conditions. |
| format | Article |
| id | doaj-art-557f92fc63a24043ab87b49e5bab95ff |
| institution | Kabale University |
| issn | 2054-5703 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | The Royal Society |
| record_format | Article |
| series | Royal Society Open Science |
| spelling | doaj-art-557f92fc63a24043ab87b49e5bab95ff2025-01-15T00:06:00ZengThe Royal SocietyRoyal Society Open Science2054-57032025-01-0112110.1098/rsos.240750Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indicesDiego Candia-Rivera0Fabrizio de Vico Fallani1Mario Chavez2Sorbonne Université, Paris Brain Institute (ICM), CNRS UMR7225, INRIA Paris, INSERM U1127, Hôpital de la Pitié Salpêtrière, AP-HP, Paris 75013, FranceSorbonne Université, Paris Brain Institute (ICM), CNRS UMR7225, INRIA Paris, INSERM U1127, Hôpital de la Pitié Salpêtrière, AP-HP, Paris 75013, FranceSorbonne Université, Paris Brain Institute (ICM), CNRS UMR7225, INRIA Paris, INSERM U1127, Hôpital de la Pitié Salpêtrière, AP-HP, Paris 75013, FranceThe time-resolved analysis of heart rate (HR) and heart rate variability (HRV) is crucial for the evaluation of the dynamic changes of autonomic activity under different clinical and behavioural conditions. Standard HRV analysis is performed in the frequency domain because the sympathetic activations tend to increase low-frequency HRV oscillations, while the parasympathetic ones increase high-frequency HRV oscillations. However, a strict separation of HRV into frequency bands may cause biased estimations, especially in the low-frequency range. To overcome this limitation, we propose a robust estimator that combines HR and HRV dynamics, based on the correlation of the Poincaré plot descriptors of interbeat intervals from the electrocardiogram. To validate our method, we used electrocardiograms gathered from open databases where standardized paradigms were applied to elicit changes in autonomic activity. Our proposal outperforms the standard spectral approach for the estimation of low- and high-frequency fluctuations in HRV, and its performance is comparable with newer methods. Our method constitutes a valuable, robust, time-resolved and cost-effective tool for a better understanding of autonomic activity through HR and HRV in a healthy state and potentially for pathological conditions.https://royalsocietypublishing.org/doi/10.1098/rsos.240750autonomic nervous systemPoincaré plotsympathetic activityparasympathetic activityvagal activity |
| spellingShingle | Diego Candia-Rivera Fabrizio de Vico Fallani Mario Chavez Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices Royal Society Open Science autonomic nervous system Poincaré plot sympathetic activity parasympathetic activity vagal activity |
| title | Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices |
| title_full | Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices |
| title_fullStr | Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices |
| title_full_unstemmed | Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices |
| title_short | Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices |
| title_sort | robust and time resolved estimation of cardiac sympathetic and parasympathetic indices |
| topic | autonomic nervous system Poincaré plot sympathetic activity parasympathetic activity vagal activity |
| url | https://royalsocietypublishing.org/doi/10.1098/rsos.240750 |
| work_keys_str_mv | AT diegocandiarivera robustandtimeresolvedestimationofcardiacsympatheticandparasympatheticindices AT fabriziodevicofallani robustandtimeresolvedestimationofcardiacsympatheticandparasympatheticindices AT mariochavez robustandtimeresolvedestimationofcardiacsympatheticandparasympatheticindices |