2017
DOI: 10.1016/j.jpeds.2016.11.059
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Features of Heart Rate Variability Capture Regulatory Changes During Kangaroo Care in Preterm Infants

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Cited by 45 publications
(75 citation statements)
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“…Consecutively, beat‐to‐beat intervals, also known as normal‐to‐normal (NN) intervals were determined . On the basis of previous research, we calculated four features of heart rate variability: the standard deviation of all NN‐intervals (SDNN), the root mean square of the successive difference between NN‐intervals (RMSSD), the percentage of NN‐intervals corresponding to transient decelerations (pDec) and the standard deviation of the NN‐intervals corresponding to transient decelerations (SDDec; ). The feature SDNN is believed to be reflective of overall variability, whereas the RMSSD reflects short‐term variability .…”
Section: Methodsmentioning
confidence: 99%
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“…Consecutively, beat‐to‐beat intervals, also known as normal‐to‐normal (NN) intervals were determined . On the basis of previous research, we calculated four features of heart rate variability: the standard deviation of all NN‐intervals (SDNN), the root mean square of the successive difference between NN‐intervals (RMSSD), the percentage of NN‐intervals corresponding to transient decelerations (pDec) and the standard deviation of the NN‐intervals corresponding to transient decelerations (SDDec; ). The feature SDNN is believed to be reflective of overall variability, whereas the RMSSD reflects short‐term variability .…”
Section: Methodsmentioning
confidence: 99%
“…The feature SDNN is believed to be reflective of overall variability, whereas the RMSSD reflects short‐term variability . The features pDec and SDDec are reflective of regulatory instability and are specifically designed to capture heart rate decelerations, both transient decelerations as well as prolonged bradycardia . We calculated the mean value and the standard error of the mean (SEM) for these four features of heart rate variability every minute, using data from the previous five minutes to obtain a time series graph for each heart rate variability feature.…”
Section: Methodsmentioning
confidence: 99%
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