Abstract
EEG signals reveal interesting information about human being's cerebral activity. Nowadays information contents can help physicians especially in rehabilitation operations, that is, it is possible to design specific biomedical experimentation in order to help patients to retrieve acceptable and good conditions of their physical apparatus or specific areas of them. In this paper, preliminary criteria of designing and implementing an EEG classification are proposed. A modeling of classification rules is also described.
Original language | English |
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Title of host publication | MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings |
Pages | 44-48 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2008 |
Event | MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications - Ottawa, ON, Canada Duration: May 9 2008 → May 10 2008 |
Other
Other | MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications |
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Country/Territory | Canada |
City | Ottawa, ON |
Period | 5/9/08 → 5/10/08 |
Keywords
- Adaptive filtering
- BCI (Brain Computer Interface)
- Biomedical instrumentation
- EEG signal processing
- Epilepsy
- Muscular dystrophy
- WAI (Web Accessibility Initiative)
ASJC Scopus subject areas
- Biomedical Engineering
- Medicine (miscellaneous)