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EEG-based automatic classification of 'awake' versus 'anesthetized' state in general anesthesia using Granger

Nicoletta Nicolaou1, Saverios Hourris, Pandelitsa Alexandrou

  • 1Department of Electrical and Computer Engineering, KIOS Research Centre, University of Cyprus, Nicosia, Cyprus. nicoletta.n@ucy.ac.cy

Plos One
|March 30, 2012
PubMed
Summary

Granger Causality (GC) effectively distinguishes between awake and anesthetized states by analyzing brain activity. This method shows promise for developing new devices to monitor anesthesia depth during surgery.

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Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...