BIOPAC released a new application note that explains how to optimize ECG R-R interval data for Heart Rate Variability studies by using a template matching approach. It also explains how to identify erroneous R-R interval values caused by signal artifact and shows methods for correcting the errors by using the tools in the AcqKnowledge software. If these guidelines are followed and subject movement is minimized it is reasonable to expect virtually no artifacts in the data.
The following screenshot is taken from a 9 min ECG recording where the subject sneezed, moved in the chair, twisted his body, stood up and sat down, moved his hands, etc., all with no artifact (observe the consistent R-R interval waveform on the bottom).
Smart Center Stand-alone, Portable Wireless Physiology Systems Smart Center Essentials entry-level system includes a Smart Center Device (BN-SMART with USB power cable), 2 or 3 Transmitters (BN-xxx-T with chargers); AcqKnowledge for Smart Center, and a case. Smart Center Enhanced adds a Logger (BN-LOGGER) and Basic Scripting License (ACK100W-BAS) to the Smart Center Device (BN-SMART with powercable), 3 […]
BIOPAC provides software and hardware that allows research teams to study physiological measures related to stress. Here are a few notable studies using BIOPAC equipment for ECG, EDA, and EEG/ERP. Moms Moderating Stress Can relaxation techniques help lower stress on both mother and fetus? Using an MP36R Data Acquisition system to record ECG and EDA, this study […]
BIOPAC’s comprehensive 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 for extracting, […]