Respiratory Sinus Arrhythmia (RSA) Analysis

AcqKnowledge® includes a fully automated Respiratory Sinus Arrhythmia (RSA) analysis routine that measures the maximum and minimum changes in heart rate during respiration and reports the difference between the two values.

The RSA routine requires two signals to perform the analysis: ECG Lead II and respiration. The software locates and marks the components of the ECG Lead II signal and scores the respiration signal for inspired and expired components of the waveform. It also creates a new heart period channel, which is a tachogram of the R-R interval.

The software automatically measures the minimum and maximum R-R intervals during each respiration cycle. Breath-to-breath values are reported for the Cycle number, Time of the cycle, Minimum R-R interval, Maximum R-R interval and the Respiratory Sinus Arrhythmia value (difference between the minimum and maximum R-R intervals) with option to show logarithmic scaling of the result all exported to a journal file or Excel.

See More...

Details

This is one of many ADVANCED FEATURES for the selected Application. Scroll down for hardware options.

 

RSA Results

See also: Heart Rate Variability Analysis for a full range of AcqKnowledge’s HRV analysis options

Videos

ECG Webinar | HRV & RSA – Fundamental Analysis Techniques

RSA Analysis

HRV Analysis: Fully-automated Routine in AcqKnowledge

BIOPAC Research Solutions | ECG

Support

ECG Webinar | HRV & RSA – Fundamental Analysis Techniques

Application Notes

Knowledge Base

Hardware Packages   |   Respiratory Sinus Arrhythmia (RSA) Analysis

Hardware Bundles are complete solutions for the specified application. Choose your preferred platform and bundle, then click "Request Pricing" to request an estimate, add/remove items, or complete purchase. If you have questions about specific items, click through to the product web page for details and specifications, or contact your Local Sales contact.

Wired

Wireless

MRI

Animal

WHAT'S NEW

New Citations | BIOPAC in EEG Studies

Electroencephalography (EEG) is a highly versatile signal in physiology research Researchers are...

Join the BIOPAC Community

Stay Current

Stay Connected

Request a Demonstration
Request a Demonstration