Abstract
Event-related potentials elicited by two individual oddball tone sequences presented to both right and left ears can be used to realize auditory BCI to detect selected attention. In this study, event-related potentials elicited by oddball tone sequences were examined and the methods to pre-process the data (spatial filter, frequency filter and down sampling) were investigated to improve pattern classification accuracies. As a result, it was shown that the down sampling (100 Hz) of the measured data was prominent for improving the classification accuracies (over 85%) in all of six subjects.
Original language | English |
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Title of host publication | BMEiCON 2017 - 10th Biomedical Engineering International Conference |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-5 |
Number of pages | 5 |
Volume | 2017-January |
ISBN (Electronic) | 9781538608821 |
DOIs | |
Publication status | Published - 2017 Dec 19 |
Event | 10th Biomedical Engineering International Conference, BMEiCON 2017 - Hokkaido, Japan Duration: 2017 Aug 31 → 2017 Sep 2 |
Other
Other | 10th Biomedical Engineering International Conference, BMEiCON 2017 |
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Country | Japan |
City | Hokkaido |
Period | 17/8/31 → 17/9/2 |
Keywords
- auditory oddball paradigm
- brain-computer interface (BCI)
- event-related potential (ERP)
- linear discriminant analysis (LDA)
- pattern classification
- selective attention
ASJC Scopus subject areas
- Health Informatics
- Instrumentation
- Biomedical Engineering
- Medicine (miscellaneous)
- Health(social science)