Article ; Online: A Unified Framework for Investigating Aperiodic and Periodic Components in the Hearbeat Dynamics Spectrum: a Feasibility Study.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
2023 Volume 2023, Page(s) 1–4
Abstract: ... concentrate on only one component. On the one hand, there are models based on self-similarity and 1/f behavior ...
Abstract | Heart Rate Variability (HRV) series is a widely used, non-invasive, and easy-to-acquire time-resolved signal for evaluating autonomic control on cardiovascular activity. Despite the recognition that heartbeat dynamics contains both periodic and aperiodic components, the majority of HRV modeling studies concentrate on only one component. On the one hand, there are models based on self-similarity and 1/f behavior that focus on the aperiodic component; on the other hand, there is the conventional division of the spectral domain into narrow-band oscillations, which considers HRV as a combination of periodic components. Taking inspiration from a recent parametrization of EEG power spectra, here we evaluate the applicability of a unified modeling framework to quantitatively assess heartbeat dynamics spectra as a mixture of aperiodic and periodic components. The proposed model is applied on publicly-available, real HRV series collected during postural changes from 10 healthy subjects. Results show that the proposed modeling effectively characterizes different experimental conditions and may complement HRV standard analysis defined in the frequency domain. |
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MeSH term(s) | Humans ; Feasibility Studies ; Autonomic Nervous System ; Heart ; Cardiovascular System ; Heart Rate/physiology |
Language | English |
Publishing date | 2023-12-08 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ISSN | 2694-0604 |
ISSN (online) | 2694-0604 |
DOI | 10.1109/EMBC40787.2023.10340558 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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