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.
|Titolo:||Characterization and Design of EEG Classifier: Uncertainty and Modeling|
|Data di pubblicazione:||2008|
|Nome del convegno:||MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/MEMEA.2008.4542995|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|