Detection of epileptiform discharges by patient state index and density spectral array during anesthetic emergence after resection of hemispheric brain tumor. Case report
- Journal of Anesthesia & Critical Care: Open Access
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Ana Ilayali Moreno Arzate,1 Alejandro Obregon Corona2
Abstract
Background: Processed electroencephalogram (EEGp) plays a crucial role in anesthesia as a quantitative and automated method for assessing anesthetic depth. It utilizes mathematical algorithms to furnish objective measures, offering an intuitive interface for anesthesiologists lacking specialized neurophysiology training. Among the array of visual graphical analyses, the Density Spectral Array (DSA) stands out as particularly promising. DSA furnishes a comprehensive and visual depiction of the patient’s brain activity, aiding anesthesiologists in maintaining optimal anesthetic depth during surgical procedures
post-extubation and postoperative phases following brain tumor resection. Employing advanced monitoring techniques like Density Spectral Array aids in early detection of neurological complications, facilitating timely intervention and potentially enhancing patientoutcomes during the critical postoperative period.
Keywords
EEGp, depth of Anesthesia, Density Spectral Array (DSA), Patient Status Index (PSi)