A Comparison of Time, Frequency and ICA Based Features and Five Classifiers for Wrist Movement Classification in EEG Signals

@article{Navarro2005ACO,
  title={A Comparison of Time, Frequency and ICA Based Features and Five Classifiers for Wrist Movement Classification in EEG Signals},
  author={I{\~n}aki Navarro and Francisco Sepulveda and B. Hubais},
  journal={2005 IEEE Engineering in Medicine and Biology 27th Annual Conference},
  year={2005},
  pages={2118-2121}
}
This study presents a comparison of two methods to extract features for the classification of wrist movements (flexion, extension, pronation, supination). For the first method, a set of 160 features was extracted from the filtered time and frequency domain EEG data and its alpha, beta, and theta bands. For the second method, a set of 40 features per movement type was extracted from the ICA-calculated source signals. The value of the Davies-Bouldin cluster separation index for each feature was… CONTINUE READING
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PronationSibling in is aSupination
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
SupinationSibling in is aPronation
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
This study presents a comparison of two methods to extract features for the classification of wrist movements ( flexion , extension , pronation , supination ) .
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