Title :
AI-based classification of single-trial EEG data
Author :
Ivanova, Irena ; Pfurtscheller, Gert ; Andrew, Colin
Author_Institution :
Dept. of Med. Inf., Graz Univ. of Technol., Austria
Abstract :
This paper studies the potential of six artificial intelligence (AI)-based approaches for classification of non-averaged EEG data that is on important issue for the building of a brain-computer interface (BCI). The effectiveness of the methods in terms of classification accuracy, stability and speed is reported
Keywords :
artificial intelligence; backpropagation; brain; electroencephalography; interactive devices; medical signal processing; multilayer perceptrons; pattern classification; AI-based classification; artificial intelligence; brain-computer interface; classification accuracy; nonaveraged EEG data; single-trial EEG data; speed; stability; Artificial intelligence; Biomedical engineering; Biomedical informatics; Brain computer interfaces; Electrodes; Electroencephalography; Information technology; Monitoring; Pattern recognition; Stability;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575321
