Extraction and Analysis of Short-Time Excursions in RR-interval Time Series

RR-interval time series often present impulses corresponding to short-duration increases or decreases in the heart rate, most probably due to bursts in autonomic activity. The time-domain heartrate variability index pNN50 is obviously linked to these spikes. As linear filtering is not appropriate for the extraction of these spikes, we developed a nonlinear algorithm for this task. In this study we demonstrate the potential of this approach to assess caffeine-induced changes in the autonomic tone, and discuss the potential of this approach.


Published in:
Computing in cardiology 2016
Presented at:
Computing in Cardiology 2016, Vancouver, British Columbia, Canada, September 11-14, 2016
Year:
2016
Keywords:
Laboratories:




 Record created 2016-09-26, last modified 2018-09-13


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