Contributions to an Advisory System for Changes Detection in Depth of Anesthesia Signals
نویسندگان
چکیده
In the clinical practice the concerns about the administration of hypnotics and analgesics for minimally invasive diagnostics and therapeutic procedures have enormously increased in recent years. The automatic detection of changes in the signals used to evaluate the depth of anesthesia is hence of foremost importance in order to decide how to adapt administered doses to patients undergoing surgical procedures. The aim of this work is to online detect changes in depth of anesthesia signals of patients undergoing general anesthesia. The performance of the proposed method is evaluated using bispectral index records. The results show that the changes detected by the proposed method are in accordance with the actions of the clinicians. This fact and the good results that were obtained support the online validation of the proposed advisory system for changes detection in depth of anesthesia signal in a real clinical environment.
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