Abstract
There has been recent research into continuous monitoring of the quantitative anesthesia (ANES) depth level for safe surgery [1]. However, the current ANES depth monitoring approach, bispectral index (BIS) [3], uses only EEG from the frontal lobe, and it shows critical limitations in the monitoring of ANES depth such as signal distortion due to electrocautery, EMG and dried gel, and false response to the special types of anesthetic drugs [3]. Near-infrared spectroscopy (NIRS) is complementary to EEG [2], and can not only compensate for the distorted depth level, but also assess the effects of various anesthetic drugs. In spite of its importance, a unified ANES monitoring system using EEG/NIRS together has not been reported because NIRS signals have widely different dynamic ranges (10pA to 10nA), and also signal level variations from person to person and environment are not manageable without closed-loop control (CLC).
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 450-451 |
| Number of pages | 2 |
| Volume | 60 |
| ISBN (Electronic) | 9781509037575 |
| DOIs | |
| Publication status | Published - 2017 Mar 2 |
| Event | 64th IEEE International Solid-State Circuits Conference, ISSCC 2017 - San Francisco, United States Duration: 2017 Feb 5 → 2017 Feb 9 |
Other
| Other | 64th IEEE International Solid-State Circuits Conference, ISSCC 2017 |
|---|---|
| Country | United States |
| City | San Francisco |
| Period | 17/2/5 → 17/2/9 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
Cite this
A 25.2mW EEG-NIRS multimodal SoC for accurate anesthesia depth monitoring. / Ha, Unsoo; Lee, Jaehyuk; Lee, Jihee; Kim, Kwantae; Kim, Minseo; Roh, Taehwan; Choi, Sang Sik; Yoo, Hoi Jun.
2017 IEEE International Solid-State Circuits Conference, ISSCC 2017. Vol. 60 Institute of Electrical and Electronics Engineers Inc., 2017. p. 450-451 7870455.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A 25.2mW EEG-NIRS multimodal SoC for accurate anesthesia depth monitoring
AU - Ha, Unsoo
AU - Lee, Jaehyuk
AU - Lee, Jihee
AU - Kim, Kwantae
AU - Kim, Minseo
AU - Roh, Taehwan
AU - Choi, Sang Sik
AU - Yoo, Hoi Jun
PY - 2017/3/2
Y1 - 2017/3/2
N2 - There has been recent research into continuous monitoring of the quantitative anesthesia (ANES) depth level for safe surgery [1]. However, the current ANES depth monitoring approach, bispectral index (BIS) [3], uses only EEG from the frontal lobe, and it shows critical limitations in the monitoring of ANES depth such as signal distortion due to electrocautery, EMG and dried gel, and false response to the special types of anesthetic drugs [3]. Near-infrared spectroscopy (NIRS) is complementary to EEG [2], and can not only compensate for the distorted depth level, but also assess the effects of various anesthetic drugs. In spite of its importance, a unified ANES monitoring system using EEG/NIRS together has not been reported because NIRS signals have widely different dynamic ranges (10pA to 10nA), and also signal level variations from person to person and environment are not manageable without closed-loop control (CLC).
AB - There has been recent research into continuous monitoring of the quantitative anesthesia (ANES) depth level for safe surgery [1]. However, the current ANES depth monitoring approach, bispectral index (BIS) [3], uses only EEG from the frontal lobe, and it shows critical limitations in the monitoring of ANES depth such as signal distortion due to electrocautery, EMG and dried gel, and false response to the special types of anesthetic drugs [3]. Near-infrared spectroscopy (NIRS) is complementary to EEG [2], and can not only compensate for the distorted depth level, but also assess the effects of various anesthetic drugs. In spite of its importance, a unified ANES monitoring system using EEG/NIRS together has not been reported because NIRS signals have widely different dynamic ranges (10pA to 10nA), and also signal level variations from person to person and environment are not manageable without closed-loop control (CLC).
UR - http://www.scopus.com/inward/record.url?scp=85016238526&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016238526&partnerID=8YFLogxK
U2 - 10.1109/ISSCC.2017.7870455
DO - 10.1109/ISSCC.2017.7870455
M3 - Conference contribution
AN - SCOPUS:85016238526
VL - 60
SP - 450
EP - 451
BT - 2017 IEEE International Solid-State Circuits Conference, ISSCC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -