![]() It is a method commonly used clinically whether that be in intensive care, in surgery, or in some out-patient clinics ( Jubran, 2015). Pulse oximetry is a technique used to measure oxygen saturation (SpO 2) non-invasively. This may have the potential to be used in clinical practice to detect differences in diseased patient subsets. We have showed that entropy analysis of pulse oximetry signals carries information about body oxygenation. Overall, this study has characterized OSV using pre-existing tools. ![]() These findings suggest partial “uncoupling” of the cardio-respiratory control system that occurs with aging. Additionally, the MSE analysis described a complex fluctuation pattern, which was reduced with age ( p < 0.05). There was also a significant inverse correlation between mean oxygen saturation and sample entropy in healthy individuals. The sample entropy revealed the variability to be more regular than heart rate variability and respiratory rate variability. Through DFA analysis, OSV was shown to exhibit fractal-like patterns. The “young” population consisted of 20 individuals and the “old” population consisted of 16 individuals. The study population consisted of 36 individuals. Secondly, to determine if there were any changes that occur with age. The aim of this study was to characterize the pattern of OSV using several parameters the regularity (sample entropy analysis), the self-similarity and the complexity. There are few published studies on oxygen saturation variability (OSV), with none describing the variability and its pattern in a healthy adult population. Pulse oximetry is routinely used for monitoring patients' oxygen saturation levels with little regard to the variability of this physiological variable. ![]() UCL Division of Medicine, University College London, London, United Kingdom. ![]()
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