This paper presents research regarding the monitoring of the brain and the
adequacy of anesthesia during surgery. Particular variables are derived fro
m EEG and ECG signals and are correlated to anesthetic gas (sevoflurane) co
ncentration, in pediatric anesthesia. The methods used for parameter extrac
tion are based on change detection theory and time-frequency representation
. Preliminary results show that the expired anesthetic gas concentration mo
dulates both the heart rate variability and the duration of the burst suppr
ession. Monitors of the central nervous system and autonomic nervous system
activities can be expected to be based on these variables.