Respiratory sinus arrhythmia testing the method of choice for evaluation of cardiovagal regulation

0508116 - ÚPT 2020 RIV NL eng J - Článek v odborném periodiku
Měšťaník, M. - Měšťaníková, A. - Langer, Peter - Grendar, M. - Jurko, A. - Sekaninová, N. - Višnovcová, N. - Tonhajzerová, I.
Respiratory sinus arrhythmia testing the method of choice for evaluation of cardiovagal regulation.
Respiratory Physiology & Neurobiology. Roč. 259, JAN (2019), s. 86-92. ISSN 1569-9048. E-ISSN 1878-1519
Institucionální podpora: RVO:68081731
Klíčová slova: respiratory sinus arrhythmia * cardiovagal regulation * orthostatic test * heart rate variability analysis * lomb-Scargle periodogram * spectral analysis
Obor OECD: Medical laboratory technology (including laboratory samples analysis
Impakt faktor: 1.591, rok: 2019
Způsob publikování: Omezený přístup
https://www.sciencedirect.com/science/article/pii/S1569904818300685?via%3Dihub

Respiratory sinus arrhythmia (RSA) is an index of cardiovagal regulation, emotional and cognitive processing. RSA is quantified using heart rate variability (HRV) spectral analysis at respiratory-linked high-frequency band (HF-HRV) using Fast Fourier transformation (FFT) or autoregressive (AR) method, both requiring resampling of recordings-a potential source of error. We hypothesized that rarely used HRV time-frequency analysis with Lomb-Scargle periodogram (LSP) without resampling could be more sensitive to detect neurocardiac response to posture change than FFT and AR. Orthostasis (posture change from supine to standing) evoked significant decrease of HF-HRV well detectable by FFT, AR, and LSP. In contrast, during posture change from sitting to lying, significant increase of HF-HRV and peak HF was best detected using LSP. In regression analysis, the associations between RR-interval, HF-HRV, and peak HF were best detected when evaluated using LSP. Time-frequency HRV analysis with LSP could represent an important alternative to conventional FFT and AR methods for assessment of cardiovagal regulation indexed by RSA.
Trvalý link: http://hdl.handle.net/11104/0299104