May 6, 2025

Reducing postoperative delirium with brain activity monitoring

As elderly patients undergo anesthesia, their brains emit electrical signals, the results of which are measurable as an electroencephalogram (EEG). Monitoring these signals and adjusting anesthetic dosages accordingly may reduce the risk of postoperative delirium (POD) and prevent intraoperative awareness. The QUESTIONED project, supported by the Bern MedTech Collaboration Call (BMCC), investigates this approach to enhance anesthesia care and patient outcomes.​ 

BMCC funded QUESTIONED project uses advanced brain activity monitoring to reduce postoperative delirium (POD) in elderly patients.
BMCC-funded QUESTIONED project uses advanced brain activity monitoring to reduce postoperative delirium (POD) in elderly patients.
Burst suppression EEG displaying alternating high-amplitude bursts and flat suppression periods. © Darren Hight 2025 
© Darren Hight 2025  -

Burst suppression EEG displaying alternating high-amplitude bursts and flat suppression periods. Burst suppression is a pattern observed in EEG recordings, showing alternating periods of high-amplitude brain activity (bursts) and low-amplitude or flatline activity (suppression). This pattern is often seen in patients under deep anesthesia and may indicate excessive sedation. 

Understanding postoperative delirium 

Postoperative delirium manifests as sudden and fluctuating cognitive disturbances following surgery. Clinically, POD is linked to increased morbidity, mortality, prolonged hospital stays, and higher medical expenses. Other complications—such as intraoperative awareness and hypotension—also pose significant health risks and strain healthcare resources. Researchers have identified "burst suppression"—periods of alternating high and low brain activity detectable via EEG during anesthesia—as a potential predictor of POD. Accurate EEG monitoring emerges as an essential tool in mitigating these risks. 

Individual with CSEM's ULTEEMNite device positioned on the forehead for EEG monitoring.​ 
© CSEM

A person comfortably wearing CSEM’s ULTEEMNite device for EEG monitoring

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© CSEM

Close-up of ULTEEMNite’s central unit and sensor nodes with active-dry electrodes.