Skip to main content
. 2017 Jan 15;195(2):237–246. doi: 10.1164/rccm.201604-0761OC

Table 3.

Ventilatory Oscillations

Characteristic Heart Failure (n = 25) Controls (n = 25)
Power spectral analysis of feedback amplification*    
 Oscillatory strength, T    
  Median (IQR) 1.7 (1.2) 1.4 (0.2)
  Range 1.2–11.3 1.1–2.4
 Estimated loop gain, 1 − 1/T 0.46 ± 0.19 0.29 ± 0.11
 Estimated natural frequency, cycles/min 1.7 ± 0.5 2.5 ± 0.6
 Significant resonance detected, yes:no, n 24:1 18:7§
Time-domain analysis    
 Amplitude, % of mean 47 (44) 34 (23)
 Interpeak interval SD, % of mean 26 ± 8 33 ± 6

Definition of abbreviation: IQR = interquartile range (75th percentile − 25th percentile).

Values are mean ± SD or median (IQR) unless otherwise indicated.

*

A resonance model was fit to the ventilation power spectrum to summarize the data. The general model is given by y = Sd(f)/|1 − LG(f)|2, where the noise component Sd(f) is assumed to conform to a power law [Sd(f) = βf−α, where α = exponent, β = offset, and f = frequency], and the chemoreflex influence is described by the simplest possible model [LG(f) = −kei/(1 + i), where k = gain,τ = time constant, and δ = delay] (41, 50).

P < 0.001.

Fisher’s F test compared the resonance model (feedback stimulated by biological noise) to noise (without feedback) for each individual.

§

P < 0.05, Fisher’s exact test.

P < 0.05.

P < 0.01.