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 |
|---|---|
| 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 |
|---|---|
| Country | Canada |
| City | Ottawa, ON |
| Period | 5/9/08 → 5/10/08 |
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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)
Cite this
Characterization and design of EEG classifier : Uncertainty and modeling. / Lay-Ekuakille, Aimé; Vendramin, Giuseppe; Trotta, Amerigo; De Rinaldis, Marta; Trabacca, Antonio.
MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings. 2008. p. 44-48 4542995.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Characterization and design of EEG classifier
T2 - Uncertainty and modeling
AU - Lay-Ekuakille, Aimé
AU - Vendramin, Giuseppe
AU - Trotta, Amerigo
AU - De Rinaldis, Marta
AU - Trabacca, Antonio
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Adaptive filtering
KW - BCI (Brain Computer Interface)
KW - Biomedical instrumentation
KW - EEG signal processing
KW - Epilepsy
KW - Muscular dystrophy
KW - WAI (Web Accessibility Initiative)
UR - http://www.scopus.com/inward/record.url?scp=50849138907&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50849138907&partnerID=8YFLogxK
U2 - 10.1109/MEMEA.2008.4542995
DO - 10.1109/MEMEA.2008.4542995
M3 - Conference contribution
AN - SCOPUS:50849138907
SN - 9781424419388
SP - 44
EP - 48
BT - MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings
ER -