ArticleEuropean journal of applied physiology2016
The relationships between heart rate deceleration capacity and spectral indices of heart rate variability during different breathing frequencies.
Article in European journal of applied physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Adverse Effects of Meditation: Autonomic Nervous System Activation and Individual Nauseous Responses During Samadhi Meditation in the Czech Republic.Journal of religion and health · 2024Observational
- Article
- Sleep Deprivation Deteriorates Heart Rate Variability and Photoplethysmography.Frontiers in neuroscience · 2021Article
- Effects of COVID-19 lockdown on heart rate variability.PloS one · 2020Article
- Improving methodology in heart rate variability analysis for the premature infants: Impact of the time length.PloS one · 2019Article
- Effects of intranasal kinetic oscillation stimulation on heart rate variability.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2018Article
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Authors and funding
5 authors.
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Abstract
purposeThe frequency of breathing influences the spectral powers of heart rate variability (HRV) as well as the magnitudes of heart rate deceleration capacity (DC) and acceleration capacity (AC). We compared the strength of their relationships under different breathing frequencies.
methodsWe studied 14 healthy young adults who breathed spontaneously and controlled their breathing rates to 0.1, 0.2, 0.3 and 0.4 Hz in a supine position. A 5-min R-R interval time series without movement artefacts or ectopic beats was obtained for each study period. Spectral indices were defined as the square roots of spectral powers in the very low frequency (0.01-0.04 Hz), low frequency (0.04-0.15 Hz), high frequency (0.15-0.4 Hz) and respiratory frequency bands. We also combined these frequency bands into LHF (0.04-0.4 Hz) and VLHF (0.01-0.4 Hz). DC and AC were obtained using phase rectified signal averaging.
resultsDC and AC were significantly correlated with all indices of HRV. The within-subject correlation coefficients for the LHF index had the greatest absolute values (0.953 and -0.919, respectively). DC and AC had different strength of relationships with the LHF index, but became comparable (0.954 vs. -0.943) when the data obtained under 0.1-Hz breathing were excluded.
conclusionDC is strongly correlated with the spectral index of the LHF band, indicating that they are controlled by similar influences under the conditions used in this study. AC is less related to the LHF index due to the fact that its magnitude deceases during 0.1-Hz breathing.
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