BIOPAC® Systems, Inc. Logo

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

Associated Applications

Spotlight On
free BIOPAC webinar

Optimize Event-Related EDA

Electrodermal Activity (EDA) is an objective index for understanding emotional states. Researchers measure EDA to gain insights on psychological or physiological response, leading them down the path of scientific discovery. Because EDA is so important to research, BIOPAC has created tools to optimize event-related EDA analysis. Topics include: how to identify skin conductance responses, convert stim events from E-Prime SuperLab, Presentation, Vizard, etc., into AcqKnowledge events that can used for analysis, and score skin conductance responses using the AcqKnowledge automated EDA analysis tool.

Register Now
Latest News

New Citations | BIOPAC in NIBP Studies

NIRS and CNAP—Pairing great tools for great data Cerebral hemoglobin concentration (blood mass in the brain) is frequently measured in the prefrontal cortex, and systemic arterial blood pressure is known to be a variable factor based on the hemoglobin concentration. A leg pressure cuff was used to constrict and release blood flow to create a […]

Electrocardiography Guide Now Available

BIOPAC’s just released Introductory ECG Guide addresses fundamental to advanced concerns to optimize electrocardiography data recording and analysis. Topics include: ECG Complex; Electrical and Mechanical Sequence of a Heartbeat; Systole and Diastole; Configurations for Lead I, Lead II, Lead III, 6-lead ECG, 12-lead ECG, precordial leads; Ventricular Late Potentials (VLPs); ECG Measurement Tools; Automated Analysis Routines […]

Read All
Request a Demonstration
Request a Demonstration