Title :
The P300 event-related potential detection - A morphological approach
Author :
Lazar, Anca Mihaela ; Ursulean, Radu
Author_Institution :
Fac. of Med. Bioeng., Grigore T. Popa Univ. of Med. & Pharmacy, Iaşi, Romania
Abstract :
The aim is to investigate the possibility of detecting the P300 event-related potential derived from its shape. We intend to show the way in which the well known variability of the P300 may be surpassed by adequate morphological operations, centred on suited structuring elements and on a new parameter, named emphasising parameter. This method can lead to better P300-based brain computer interfaces (BCIs) by enhancing this attribute of the electroencephalographic (EEG) signal.
Keywords :
bioelectric potentials; brain-computer interfaces; electroencephalography; medical signal processing; neurophysiology; EEG signal; P300 event-related potential detection; P300-based brain computer interfaces; electroencephalographic signal; morphological operations; structuring elements; Electrodes; Electroencephalography; Lead; P300 event-related potential; brain-computer interface; emphasising parameter; mathematical morphology;
Conference_Titel :
E-Health and Bioengineering Conference (EHB), 2013
Conference_Location :
Iasi
Print_ISBN :
978-1-4799-2372-4
DOI :
10.1109/EHB.2013.6707413
