Signal processing for automated EEG quality assessment
| Data(s) |
01/02/2016
|
|---|---|
| Resumo |
An automated signal quality assessment method was proposed for the EEG signals, which will help in testing new BCI algorithms so that the testing can be made on high quality signals only. This research includes the development of novel feature extraction technique and a new clustering algorithm for EEG signals. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin University, Institute for Intelligent Systems Research and Innovation, Institute for Intelligent Systems Research and Innovation |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30088806/haggag-agreement-2016.pdf http://dro.deakin.edu.au/eserv/DU:30088806/haggag-signalprocessing-2016A.pdf |
| Direitos |
The Author. All Rights Reserved |
| Palavras-Chave | #Engineering #Neuroscience #Brain Compter Interface #Brain signals |
| Tipo |
Thesis |
