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Automated EEG Analysis

filtered EEG data

AcqKnowledge includes a number of fully automated EEG analysis functions.

Compute Approximate Entropy

Approximate entropy is a statistical measure that attempts to quantify the predictability of a data sequence. A perfectly predictable data series (such as a pure sine wave) has an approximate entropy of zero. Several studies are beginning to examine approximate entropy of EEG data and its relationship to external factors such as drugs and sleep states.

Derive Alpha RMS  

The Derive Alpha RMS script constructs a standard alpha RMS waveform from an alpha EEG signal. Alpha RMS is the windowed root mean square value of the signal using a window width of 0.25 seconds.

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

Derive EEG Frequency Bands  

The software automaticaly filters the raw EEG signal for the appropriate band widths. The following bands are available: Alpha, Beta, Theta, Delta, and Gamma

EEGfrequecy bands

EEG Frequency Analysis

EEG, Frequency, Analysis, AcqKnowledge

The EEG Frequency Analysis script divides the EEG signals into fixed-width time epochs. For each individual time epoch, the Power Spectral Density function of AcqKnowledge is used to estimate the power spectrum of that epoch using a Welch periodogram estimation method. From this PSD the following measures are extracted for each epoch: Mean Power, Median Frequency, Mean Frequency, Spectral Edge, Peak Frequency.

Remove EOG Artifacts

Some EEG recordings involve subjects performing various visual tasks such as reading or watching video. Under these conditions, EEG may be susceptible to interference from the much stronger EOG signal arising from eye motion, particularly if EEG is recorded from positions oriented towards the front of the skull. The Remove EOG Artifacts script helps to remove EOG interference from the EEG signals, recovering the EEG data for use in further analysis.

Delta Power Analysis

Delta power is the total power of the EEG signal that occurs within the delta frequency band of 0.5 Hz to 4 Hz. Delta power has been examined in a number of various EEG studies as an indicator of sleep/wakefulness and other conditions. By examining changes in the delta power, it may be possible to correlate delta power with effects of external factors.



Application Notes

Knowledge Base

Hardware Packages   |   Automated EEG Analysis

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