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Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

Detecting alpha spindle events in EEG time series using adaptive autoregressive models.

Vernon Lawhern1, Scott Kerick, Kay A Robbins

  • 1Department of Computer Science, University of Texas at San Antonio, San Antonio, TX 78249, USA. vlawhern@cs.utsa.edu.

BMC Neuroscience
|September 20, 2013
PubMed
Summary

We developed a new algorithm using discounted autoregressive modeling to accurately detect alpha spindles in electroencephalogram (EEG) data, achieving 95% accuracy. This method reliably identifies changes in brain activity linked to fatigue and drowsiness.

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