scholarly journals A MATLAB toolbox for correcting within-individual effects of respiration rate and tidal volume on respiratory sinus arrhythmia during variable breathing

2009 ◽  
Vol 41 (4) ◽  
pp. 1121-1126 ◽  
Author(s):  
Stefan M. Schulz ◽  
Erica Ayala ◽  
Bernhard Dahme ◽  
Thomas Ritz
Keyword(s):  
Tidal Volume ◽  
Respiration Rate ◽  
Respiratory Sinus Arrhythmia ◽  
Matlab Toolbox ◽  
Sinus Arrhythmia ◽  
Individual Effects

Respiratory sinus arrhythmia is associated with efficiency of pulmonary gas exchange in healthy humans

2003 ◽  
Vol 284 (5) ◽  
pp. H1585-H1591 ◽  
Author(s):  
Nicholas D. Giardino ◽  
Robb W. Glenny ◽  
Soo Borson ◽  
Leighton Chan
Keyword(s):  
Heart Rate ◽  
Gas Exchange ◽  
Tidal Volume ◽  
Respiration Rate ◽  
Respiratory Sinus Arrhythmia ◽  
Minute Ventilation ◽  
Pulmonary Gas Exchange ◽  
Sinus Arrhythmia ◽  
Paced Breathing ◽  
Healthy Humans

Respiratory sinus arrhythmia (RSA) may be associated with improved efficiency of pulmonary gas exchange by matching ventilation to perfusion within each respiratory cycle. Respiration rate, tidal volume, minute ventilation (V˙e), exhaled carbon dioxide (V˙co 2), oxygen consumption (V˙o 2), and heart rate were measured in 10 healthy human volunteers during paced breathing to test the hypothesis that RSA contributes to pulmonary gas exchange efficiency. Cross-spectral analysis of heart rate and respiration was computed to calculate RSA and the coherence and phase between these variables. Pulmonary gas exchange efficiency was measured as the average ventilatory equivalent of CO2(V˙e/V˙co 2) and O2(V˙e/V˙o 2). Across subjects and paced breathing periods, RSA was significantly associated with CO2 (partial r = −0.53, P = 0.002) and O2 (partial r = −0.49, P = 0.005) exchange efficiency after controlling for the effects of age, respiration rate, tidal volume, and average heart rate. Phase between heart rate and respiration was significantly associated with CO2 exchange efficiency (partial r = 0.40, P = 0.03). These results are consistent with previous studies and further support the theory that RSA may improve the efficiency of pulmonary gas exchange.

scholarly journals Using Respiratory Sinus Arrhythmia to Estimate Inspired Tidal Volume in the Bottlenose Dolphin (Tursiops truncatus)

2019 ◽  
Vol 10 ◽  
Author(s):  
Fabien Cauture ◽  
Blair Sterba-Boatwright ◽  
Julie Rocho-Levine ◽  
Craig Harms ◽  
Stefan Miedler ◽  
...  
Keyword(s):  
Tidal Volume ◽  
Respiratory Sinus Arrhythmia ◽  
Bottlenose Dolphin ◽  
Tursiops Truncatus ◽  
Sinus Arrhythmia

scholarly journals Heritability of respiratory sinus arrhythmia: Dependency on task and respiration rate

1997 ◽  
Vol 34 (3) ◽  
pp. 317-328 ◽  
Author(s):  
HAROLD SNIEDER ◽  
DORRET I. BOOMSMA ◽  
LORENZ J. P. DOORNEN ◽  
ECO J. C. GEUS
Keyword(s):  
Respiration Rate ◽  
Respiratory Sinus Arrhythmia ◽  
Sinus Arrhythmia

Effects of hypercapnia and hypoxemia on respiratory sinus arrhythmia in conscious humans during spontaneous respiration

2007 ◽  
Vol 292 (5) ◽  
pp. H2397-H2407 ◽  
Author(s):  
Y. C. Tzeng ◽  
P. D. Larsen ◽  
D. C. Galletly
Keyword(s):  
Tidal Volume ◽  
Respiratory Sinus Arrhythmia ◽  
Amplitude Ratio ◽  
Low Frequency ◽  
Vagal Tone ◽  
Mean Amplitude ◽  
Spontaneous Respiration ◽  
Vagal Activity ◽  
Sinus Arrhythmia ◽  
Amplitude Increase

Normally, at rest, the amplitude of respiratory sinus arrhythmia (RSA) appears to correlate with cardiac vagal tone. However, recent studies showed that, under stress, RSA dissociates from vagal tone, indicating that separate mechanisms might regulate phasic and tonic vagal activity. This dissociation has been linked to the hypothesis that RSA improves pulmonary gas exchange through preferential distribution of heartbeats in inspiration. We examined the effects of hypercapnia and mild hypoxemia on RSA-vagal dissociation in relation to heartbeat distribution throughout the respiratory cycle in 12 volunteers. We found that hypercapnia, but not hypoxemia, was associated with significant increases in heart rate (HR), tidal volume, and RSA amplitude. The RSA amplitude increase remained statistically significant after adjustment for respiratory rate, tidal volume, and HR. Moreover, the RSA amplitude increase was associated with a paradoxical rise in HR and decrease in low-frequency-to-high-frequency mean amplitude ratio derived from spectral analysis, which is consistent with RSA-vagal dissociation. Although hypercapnia was associated with a significant increase in the percentage of heartbeats during inspiration, this association was largely secondary to increases in the inspiratory period-to-respiratory period ratio, rather than RSA amplitude. Additional model analyses of RSA were consistent with the experimental data. Heartbeat distribution did not change during hypoxemia. These results support the concept of RSA-vagal dissociation during hypercapnia; however, the putative role of RSA in optimizing pulmonary perfusion matching requires further experimental validation.

Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate

1981 ◽  
Vol 241 (4) ◽  
pp. H620-H629 ◽  
Author(s):  
J. A. Hirsch ◽  
B. Bishop
Keyword(s):  
Heart Rate ◽  
Tidal Volume ◽  
Respiratory Sinus Arrhythmia ◽  
Spontaneous Breathing ◽  
Low Frequency ◽  
Corner Frequency ◽  
Breath Hold ◽  
Breathing Frequency ◽  
Quiet Breathing ◽  
Sinus Arrhythmia

The relationship of respiratory sinus arrhythmia amplitude (RSA) to tidal volume and breathing frequency was quantified during voluntarily controlled tidal volume and breathing frequency and spontaneous quiet breathing. Seventeen seated subjects breathed via mouthpiece and nose-clip, maintaining constant tidal volumes at each of several breathing frequencies. Inspiratory breath hold was zero frequency. Log RSA was plotted vs. log frequency for each tidal volume. The large stable RSA for frequencies less than 6 cycles/min was called low-frequency intercept (LFI, 20 +/- 5 beats/min). Low-frequency intercept was inversely proportional to a subject's age only to 35 yr. At higher breathing frequencies above a characteristic corner frequency (fC, 7.2 +/- 1.5 cycles/min) RSA decreased with constant slope (roll-off; 21 +/- 3.4 dB/decade). The RSA-volume relationship was linear permitting normalization of RSA-frequency curves for tidal volume to yield one curve. Spontaneous breathing data points fell on this curve. Voluntarily coupling of heart rate to breathing frequency in integer ratios reduced breath-by-breath variability of RSA without changing mean RSA. In conclusion, low-frequency intercept, corner frequency, and roll-off characterize an individual's RSA-frequency relationship during both voluntarily controlled and spontaneous breathing.

scholarly journals QUANTIFICATION OF RESPIRATORY SINUS ARRHYTHMIA WITH HIGH-FRAMERATE ELECTRICAL IMPEDANCE TOMOGRAPHY

2013 ◽  
Vol 53 (6) ◽  
pp. 854-861
Author(s):  
Christoph Hoog Antink ◽  
Steffen Leonhardt
Keyword(s):  
Heart Rate ◽  
Quantitative Analysis ◽  
Tidal Volume ◽  
Electrical Impedance Tomography ◽  
Respiratory Sinus Arrhythmia ◽  
Electrical Impedance ◽  
Cardiac Activity ◽  
Patient Specific ◽  
Impedance Tomography ◽  
Sinus Arrhythmia

Respiratory Sinus Arrhythmia, the variation in the heart rate synchronized with the breathing cycle, forms an interconnection between cardiac-related and respiratory-related signals. It can be used by itself for diagnostic purposes, or by exploiting the redundancies it creates, for example by extracting respiratory rate from an electrocardiogram (ECG). To perform quantitative analysis and patient specific modeling, however, simultaneous information about ventilation as well as cardiac activity needs to be recorded and analyzed. The recent advent of medically approved Electrical Impedance Tomography (EIT) devices capable of recording up to 50 frames per second facilitates the application of this technology. This paper presents the automated selection of a cardiac-related signal from EIT data and quantitative analysis of this signal. It is demonstrated that beat-to-beat intervals can be extracted with a median absolute error below 20 ms. A comparison between ECG and EIT data shows a variation in peak delay time that requires further analysis. Finally, the known coupling of heart rate variability and tidal volume can be shown and quantified using global impedance as a surrogate for tidal volume.

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