Clinical Research
| Number | Title | Title | Download | Language | Date |
| 5 | 2020
Medicine (2020) 99:5 |
Quantifying the depth of anesthesia based on brain activity signal modeling
|
KOR | 2020.12.21 | |
| 4 | 2017
Korea University Department of Medicine
Graduate School
Major in Anesthesiology and Pain Medicine |
Research for Quantifying the Depth of Anesthesia based on Physiological Signal Model-Usefulness of Cortical Activity Index
|
KOR | 2020.12.21 | |
| 3 | 2014
International Conference
on Information and Communication
Technology Convergence
(ICTC) |
Implementation of Real-time Depth of Anesthesia Monitoring System Using Wireless Data Transfer
|
KOR | 2020.12.21 | |
| 2 | 35th Annual
International Conference
of the IEEE EMBS
Osaka, Japan, 3 - 7 July,
2013 |
A Cepstral Analysis based Method for Quantifying the Depth of Anesthesia from Human EEG
|
KOR | 2020.12.21 | |
| 1 | 33rd Annual International Conference of the IEEE EMBS
Boston, Massachusetts
USA, August 30 - September3, 2011 |
Monitoring the Depth of Anesthesia from Rat EEG using Modified Shannon Entropy Analysis
|
KOR | 2020.12.21 |