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246 – R-R Interval Processing with the BIOPAC HRV Algorithm

periodogram for time-domain analysisAcqKnowledge calculates heart rate variability (HRV) using the Welch Periodogram and least squares de-trending methods.

To properly select the parameter values needed for the calculation of the Power Spectral Density, which is the “work-horse” tool for Heart Rate Variability analysis, a brief tutorial is presented, including an R-R Interval Processing Approach.

The Welch Periodogram is a method by which a large time-sampled waveform can be frequency-transformed by partitioning the data into shorter segments, transforming each segment, then, averaging the results over all the segments to create a composite frequency space waveform.

See also:

233 – Heart Rate Variability – Preparing Data for Analysis
129 – Heart Rate Variability: Statistical & Geometric Measures

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Dyadic Interactions Involving Parents, Children, Couples, and More | Recording from Multiple Participants Part I

Synchronizing Data from Multiple Participants
Performing a dyadic experiment takes more planning than single-participant studies. Data must be tightly synchronized, equipment must remain inobtrusive, and the experimental paradigm drives the optimal setup. Join us to learn how to record high-quality synchronized data for a wide range of applications.

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