Fuzzy systems to process ECG and EEG signals for quantification of the mental workload

Information Sciences

Volumn 142, Issue 1-4, 2002, Pages 23-35

  Moon, B S ^a   Lee, H C ^a   Lee, Y H ^a   Park, J C ^a   Oh, I S ^a   Lee, J W ^a  

^a Korea Atomic Energy Research Institute   (South Korea)

Author keywords

ECG signal; EEG signal; Fuzzy system; Gaussian smoothing; Mental workload

Indexed keywords

ALGORITHMS; ELECTROCARDIOGRAPHY; ELECTROENCEPHALOGRAPHY; NUCLEAR POWER PLANTS; SIGNAL PROCESSING;

FUZZY SYSTEMS;

FUZZY CONTROL;

EID: 0036570882     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-0255(02)00155-X     Document Type: Conference Paper

References (9)

1. Dissociation of alpha and theta activity as a function of verbal and visuospatial tasks
2. Event-related EEG-spectra in a concept formation task
3. Event related potentials and EEG components in a semantic memory search task
4. Psychophysiological measures of workload during continuous manual performance
5. 4)
6. A curve smoothing method by using fuzzy sets
7. Gaussian smoothing by optimal iterated uniform convolutions
8. Efficient synthesis of Gaussian filters by cascaded uniform filters
9. Human factors researches in KAERI for nuclear power plants