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118 – EMG Frequency Signal Analysis

Analysis of the EMG signal in the frequency domain involves measurements and parameters which describe specific aspects of the frequency spectrum of the signal. Parameters of the power density spectrum may be easily used to provide useful measures of the EMG frequency spectrum.

This Application Note will explain how to extract several measures derived from the power spectrum of an EMG signal. The measures to be extracted are: Median Frequency, Mean Frequency, Peak Frequency, Mean Power, Total Power. If the EMG spectrum has a normal distribution, the Median and Mean frequencies will be identical; any deviation from normality will result in differing values for the Median and Mean frequencies.

AcqKnowledge is used to calculate these parameters after the EMG data has been collected. Methodology varies based on the version of AcqKnowledge that is used.

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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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