Higher variability and complexity of breathing pattern during controlled ventilatory support has been found to ameliorate oxygenation.
Melodic contours undulate, sometimes with a descending inflection, and singers achieve rhythmic complexity through special breathing techniques they use to vary durational values.
However, they did not perform non-linear analysis of respiratory time series for assessing breathing complexity.
Furthermore, the authors supposed that increased breathing complexity may also be attributed to higher vagal afferent feedback during unassisted breathing, as has already been shown by Sammon and Bruce [ 46].
After the performance of a SBT, increased unloading of the respiratory system was associated with increased breathing complexity in subjects who managed to liberate from the ventilator (figures 1-6), since lower values of DFA exponent and higher values of LLE and SampEn of inspiratory flow were found (figure 7).
Finally, the variability and complexity of the breathing pattern are influenced by several factors, including the load-capacity relationship of the respiratory system [ 68- 70], vagal afferent traffic to the brain [ 71], and the activity of the central pattern generators [ 72].
In conclusion and despite the fact that inspiratory flow and VT time series preserved their fractal-like properties, weaning failure patients exhibited reduced breathing pattern complexity during weaning trials, compared with subjects who were successfully separated from the ventilator.
By applying the modified software to existing CAM research data, we successfully obtained non-linear measures of heart rate dynamics and center of pressure control following tai-chi mind-body interventions, performed wavelet analyses of arterial pulse waves following deep breathing, and determined complexity of electrical potential measurements in acupuncture meridians.
To reduce the mass and complexity of the systems, air-breathing PEMFC stack design with open cathode channel configuration is being developed.
Compared with PSV, NAVA increased breathing pattern variability and flow complexity without changing EAdi complexity.
