Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958299 | Computer Methods and Programs in Biomedicine | 2016 | 17 Pages |
Abstract
This paper proposes a method for identifying whether patients' state of consciousness during a range of surgery types is “under anesthesia” or “aware.” Our method involves using EEG to characterize the depth of anesthesia through two frequency analysis techniques. On the basis of our analyses, we conclude that the performance of IMF1 is satisfactory in distinguishing between patients' states of consciousness during surgery requiring general anesthesia.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Shih-Jui Chen, Chia-Ju Peng, Yi-Chun Chen, Yean-Ren Hwang, Ying-Sian Lai, Shou-Zen Fan, Kuo-Kuang Jen,