Title :
Off-line analysis of the P300 event-related potential using discrete wavelet transform
Author :
Vareka, Lukas ; Mautner, Pavel
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of West Bohemia, Plzen, Czech Republic
Abstract :
The P300 component is an event-related potential associated with the process of decision making. Its accurate detection in electroencephalographic signal is essential for P300-based brain-computer interfaces. This paper proposes a new method for the P300 detection based on discrete wavelet transform. Its benefits were tested with five healthy subjects using voting classification algorithm. The accuracy of 74.4% was achieved for single trials and over 90% accuracy for averaging.
Keywords :
brain-computer interfaces; discrete wavelet transforms; electroencephalography; P300 component; brain-computer interfaces; discrete wavelet transform; electroencephalographic signal; event-related potential; off-line analysis; voting classification algorithm; Accuracy; Discrete wavelet transforms; Electroencephalography; Feature extraction; Matching pursuit algorithms; Training; Brain-computer interfaces; EEG; discrete wavelet transform; event-related potentials; pattern recognition;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-0402-0
DOI :
10.1109/TSP.2013.6613998
