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177 – ECG Analysis Using the Offline Averaging Mode

For years, cardiologists examined paper charts of ECG signals to create an averaged ECG complex. They took each individual cardiac cycle, measured each part of the complex with a ruler, wrote down each value, and calculated the means to derive an averaged ECG complex. As you can imagine (or have experienced), this task took a great deal of time and patience. When the need arose to analyze two or more different scenarios (e.g., baseline response), the task had to be performed even more carefully, to accurately comparison of the ECG.

The AcqKnowledge software has a powerful averaging feature that automatically derives an averaged signal from a specific number of cycles (averaging is found in the Peak Detection menu). And, you can easily compare two, three, or more averaged ECG signals with just a few mouse clicks.

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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.

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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 […]

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