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An EEG-NIRS Multimodal SoC for Accurate Anesthesia Depth Monitoring
Unsoo Ha
*
, Jaehyuk Lee
, Minseo Kim
, Taehwan Roh
, Sangsik Choi
, Hoi Jun Yoo
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
88
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Keyphrases
Electroencephalography
100%
Near-infrared Spectroscopy
100%
Anesthesia Depth Monitoring
100%
Closed-loop
40%
Frontal Lobe
40%
Electromyography
40%
Transimpedance Amplifier
40%
Dry Gel
40%
Electrocautery
40%
Depth of Anesthesia
40%
Bispectral Index
40%
Clinically Significant
20%
Clinical Trials
20%
Mixed Mode
20%
Anesthesia
20%
Reliable Monitoring
20%
Signal Distortion
20%
General Anesthesia
20%
Dynamic Range
20%
Non-invasive Monitoring
20%
DC Offset
20%
System-on-chip
20%
Duty Cycle
20%
65nm CMOS
20%
Peak Power
20%
System Level
20%
False Response
20%
Operation Environment
20%
Combined Signals
20%
Surgical Operation
20%
Deep State
20%
Electroencephalographic Monitoring
20%
Ambient Light
20%
Anesthetic Drugs
20%
Monitoring Approach
20%
Current Driver
20%
Medical Processes
20%
Noise Efficiency Factor
20%
Dc Servo Loop
20%
Electromagnetic Noise
20%
Engineering
System-on-Chip
100%
Amplifier
100%
Closed Loop
100%
Limitations
50%
Mixed Mode
50%
Duty Cycle
50%
Dynamic Range
50%
Peak Power
50%
Dc Offset
50%
Efficiency Factor
50%
Comparator Output
50%
Patch System
50%
Servomotors
50%
Medicine and Dentistry
near Infrared Spectroscopy
100%
Electromyography
40%
Fulguration
40%
Depth of Anesthesia Monitoring
40%
Frontal Lobe
40%
Bispectral Index
40%
Surgery
20%
Clinical Trial
20%
Physician
20%
General Anesthesia
20%
Anesthetic Agent
20%
Electroencephalography Monitoring
20%