The participants.csv file contains metadata about each participant.

The sampling frequency of the measurements is 1Hz as specified in the header files. The oxygen saturation data files are provided in standard WFDB format.

Save file in a separate file with the other samples.

Down sample by 1000 and remove comments.Choose channel 1 and select the option for current selection.Additionally, the MSE analysis described a complex fluctuation pattern, which was reduced with age (p Export As – select LabChart Text FIle There was 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 characterise the pattern of OSV using several parameters: the regularity (sample entropy analysis), the self-similarity (detrended fluctuation analysis (DFA)), and the complexity (multiscale entropy (MSE) analysis). 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. This database contains one hour oxygen saturation measurements of 36 patients, used for the analysis of oxygen saturation variability. Research Resource for Complex Physiologic Signals.Ģ000 (June = , PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Mietus JE, Moody GB, Peng C-K, Stanley HE. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG,

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