DocumentCode
2988362
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
Volume
1
fYear
1995
fDate
20-25 Sep 1995
Firstpage
703
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location
Montreal, Que.
Print_ISBN
0-7803-2475-7
Type
conf
DOI
10.1109/IEMBS.1995.575321
Filename
575321
Link To Document