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Volumn , Issue , 2008, Pages 5871-5874
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Real time workload classification from an ambulatory wireless EEG system using hybrid EEG electrodes
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Author keywords
[No Author keywords available]
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Indexed keywords
INDUSTRIAL ENGINEERING;
BIOELECTRIC SENSORS;
CONDUCTIVE GELS;
EEG DATUM;
HIGH QUALITY;
MECHANICAL ISOLATION;
REAL TIME;
ULTRA LOW POWER;
ENGINEERING;
ALGORITHM;
AMBULATORY MONITORING;
ARTICLE;
BRAIN;
ELECTRODE;
ELECTROENCEPHALOGRAPHY;
EQUIPMENT;
EQUIPMENT DESIGN;
EQUIPMENT FAILURE;
METHODOLOGY;
PHYSIOLOGY;
REPRODUCIBILITY;
SENSITIVITY AND SPECIFICITY;
TELEMETRY;
WORKLOAD;
ALGORITHMS;
BRAIN;
ELECTRODES;
ELECTROENCEPHALOGRAPHY;
EQUIPMENT DESIGN;
EQUIPMENT FAILURE ANALYSIS;
MONITORING, AMBULATORY;
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
TELEMETRY;
WORKLOAD;
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EID: 84903856110
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/iembs.2008.4650550 Document Type: Conference Paper |
Times cited : (67)
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References (9)
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