Why the study?
Does the mean square successive difference statistic improve the detection of cyclic heart rate variability patterns compared to traditional variance in subjects with and without anisocoria?
Does the mean square successive difference statistic improve the detection of cyclic heart rate variability patterns compared to traditional variance in subjects with and without anisocoria?
The mean square successive difference statistic provides a superior method for detecting cyclic autonomic variability patterns in heart rate that are obscured by traditional variance analysis.
Answers are grounded in this paper and cite their sources.
MSSD may unmask cyclic HRV patterns in anisocoria; hypothesis-generating and should not change clinical practice.
The present paper contrasts the relative efficacies of the traditional mean square or variance, and a time‐series statistic, the mean square successive Werence, as descriptors of cyclic heart rate variability. Estimates of fluctuation in the R‐R in‐ terval during the prestimulus and cold pressor stimulus periods were obtained for two subject samples. The first sample was composed of individuals having bilateral diiterences in the diameter of their pupils, a condition known as anisocoria, while the pupils of the Ss in the second sample were of equal diameter. A group sinu‐ soidal rhythm in the mean square successive difference of R‐R interval variation was observed during the cold pressor stimalus for the anisocoric sample. However, the rhythm was obscured when the traditional mean square statistic was utilized to describe the same R‐R interval variation. No rhythms were identified for the non‐ anisocoric sample. The mean square successive difference statistic would appear to provide a method for detecting cyclic autonomic variability patterns otherwise obscured by traditional analysis.
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Varni et al. (1971) studied this question.
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