Title :
Wavelet Transform for the analysis of EEG signals in patients with oral communications problems
Author :
Viqueira, Maria ; Zapirain, Begona Garcia ; Mendez, Amaia
Author_Institution :
Deusto Inst. of Tecnology, Univ. of Deusto, Bilbao, Spain
Abstract :
This chapter presents a system for helping people who can´t talk or control their movements when communication by speech. The system is based on applying the wavelet transform to EEG signals. In this study it has been used the 64 channels to know in which ones of them exists higher difference between the P300b and the P300a, in order to chose the best four channels that will be used in the application. The results have achieved a 80% success using the bior3.7 the wavelet.
Keywords :
electroencephalography; medical disorders; medical signal processing; speech; wavelet transforms; EEG signals; oral communications problem; speech; wavelet transform; Argon; EEG; oral communication problems; wavelet transform;
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
Conference_Location :
Bilbao
Print_ISBN :
978-1-4673-0752-9
Electronic_ISBN :
978-1-4673-0751-2
DOI :
10.1109/ISSPIT.2011.6151549
