A method to assess linear self-predictability of physiologic processes in the frequency domain: application to beat-to-beat variability of arterial compliance

• DOI: 10.3389/fnetp.2024.1346424
• Publication Date: 2024-04-04T05:09:33Z
• Authors: Laura Sparacino; Yuri Antonacci; Chiara Barà; Dávid Švec; Michal Javorka; Luca Faes
• Keywords: Predictability; Beat (acoustics); Cross-spectrum; Oscillation (cell signaling)

The concept of self-predictability plays a key role for the analysis self-driven dynamics physiological processes displaying richness oscillatory rhythms. While time domain measures self-predictability, as well time-varying and local extensions, have already been proposed largely applied in different contexts, they still lack clear spectral description, which would be significantly useful interpretation frequency-specific content investigated processes. Herein, we propose novel approach to characterize linear (LSP) Gaussian frequency domain. LSP functions are related peaks power density (PSD) process, is represented sum components with specific through method decomposition. Remarkably, each profiles linked oscillation it returns when integrated along bands interest, measure meaning field information theory, corresponding well-known storage, whole axis. first illustrated theoretical simulation, showing that clearly reflects degree location predictability patterns analyzed process both domains. Then, beat-to-beat series arterial compliance obtained young healthy subjects. results evidence decomposition strategy PSD identifies responses postural stress low high oscillations cannot traced only, highlighting importance computing any physiologic process.