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A 16 Channel Real-Time EEG Processing Based on ORICA Algorithm using 28nm CMOS Technology
Kai Yen Wang, Yun Lung Ho, Yu De Huang,
Wai-Chi Fang
電子研究所
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Keyphrases
Online Recursive Independent Component Analysis
100%
16-channel
100%
28 Nm CMOS
100%
Algorithm Analysis
100%
Real-time EEG
100%
EEG Signal Processing
100%
System-on-chip Design
66%
Systems-based
33%
Medical Diagnosis
33%
Total Energy Consumption
33%
Multi-channel
33%
System Design
33%
Area Consumption
33%
Signal Processing Systems
33%
Chip Design
33%
EEG Signals
33%
Processing System
33%
Highly Effective
33%
Source Signal
33%
Software Simulation
33%
Effective Systems
33%
Eye Blink Artifact
33%
Real-time Data Analysis
33%
Muscle Artifact
33%
Average Correlation Coefficient
33%
Depth of Anesthesia
33%
Facial muscles
33%
V93000
33%
System Integration Method
33%
Engineering
Recursive
100%
Independent Component Analysis
100%
System-on-Chip
66%
Electric Power Utilization
33%
Source Signal
33%
Brain-Computer Interface
33%
Signal Processing System
33%
Multichannel
33%
Integrated Information System
33%
Related Application
33%
Simulation Software
33%
Processing System
33%
Computer Science
Independent Component Analysis
100%
Power Consumption
33%
System Analysis
33%
Signal Processing System
33%
Related Application
33%
System on a Chip
33%
Integration Technique
33%
Processing System
33%
Analysis Signal
33%
Medical Diagnosis
33%
System-on-Chip
33%