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Drowsiness monitoring with EEG-based MEMS biosensing technologies
Chih Wei Chang
,
Li-Wei Ko
, Fu Chang Lin
, Tung Ping Su
, Tzyy Ping Jung
, Chin Teng Lin
,
Jin-Chern Chiou
*
*
Corresponding author for this work
Department of Biological Science and Technology
Department of Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Review article
›
peer-review
7
Scopus citations
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Keyphrases
Micro-electro-mechanical Systems
100%
Electroencephalography
100%
Biosensing Technology
100%
Drowsiness Monitoring
100%
Dry Electrodes
33%
Elders
16%
Signal Analysis
16%
Virtual Reality
16%
Signal Intensity
16%
Large Signal
16%
Wet Electrode
16%
Principal Coordinate Analysis (PCoA)
16%
Array Power
16%
Estimation System
16%
Workplace
16%
Cognitive State
16%
Sleepiness
16%
Electrode Array
16%
Drowsiness Level
16%
Driver Drowsiness
16%
Alertness
16%
Multivariate Linear Regression
16%
Superior Conductivity
16%
Drowsiness Estimation
16%
Tiredness
16%
Sleep Stages
16%
Dynamic Simulator
16%
Power Spectrum Estimation
16%
Computer Science
Virtual Reality
100%
Driving Simulator
100%
Component Analysis
100%
Principal Components
100%
Signal Intensity
100%
Power Spectrum Estimation
100%
Analysis Signal
100%
Engineering
Biosensing
100%
Micro-Electro-Mechanical System
100%
Virtual Reality
50%
Signal Intensity
50%
Driving Simulator
50%
Principal Components
50%
Component Analysis
50%
Electrode Array
50%
Power Spectrum Estimation
50%