EEG/ECG data fusion using Self-Organising Maps
نویسندگان
چکیده
Empirical results are presented concerning data fusion performed over several combinations of EEG/ECG channel readings of sport shooting athletes. Our purpose in applying different data fusion approaches was that of finding a satisfactory set of features, such that would allow us to build adequate classifiers on the data. The resulting data sets were used for building SOMs (Self-Organising Maps), used for visual inspection of coherence between clusters found and shooting accuracy.
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