Title :
Real-time segmentation and tracking of brain metabolic state in ICU EEG recordings of burst suppression
Author :
Westover, M. Brandon ; ShiNung Ching ; Shafi, Mohd Mudasir ; Cash, Sydney S. ; Brown, Emery N.
Author_Institution :
Dept. of Neurology, Harvard Med. Sch., Boston, MA, USA
Abstract :
We provide a method for estimating brain metabolic state based on a reduced-order model of EEG burst suppression. The model, derived from previously suggested biophysical mechanisms of burst suppression, describes important electrophysiological features and provides a direct link to cerebral metabolic rate. We design and fit the estimation method from EEG recordings of burst suppression from a neurological intensive care unit and test it on real and synthetic data.
Keywords :
bioelectric potentials; electroencephalography; medical signal processing; neurophysiology; reduced order systems; EEG burst suppression; ICU EEG recordings; brain metabolic state; cerebral metabolic rate; electrophysiological features; estimation method; neurological intensive care unit; real-time segmentation; real-time tracking; reduced-order model; synthetic data; Anesthesia; Biological system modeling; Brain modeling; Electroencephalography; Estimation; State-space methods; Switches;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6611196