A Novel Method for Fast Extraction of Auditory Evoked Potentials

We compare performance of adaptive schemes which are based on radial-basis functions and Kalman filters for fast extraction of auditory evoked potentials. Moreover, we propose a new method based on evoked potential modeling in the Kalman filter framework, which can improve the accuracy compared to the existing methods. Simulation results show that adaptive schemes and the Kalman method are not significantly different in reducing the number of trials needed for accurate extract on of auditory evoked potentials, and that the proposed method significantly improves the extraction accuracy of the evoked potentials even when the number of trials is small.

کلیدواژه ها:

Auditory Evoked Potentials ، Radial Basis Functions ، Kalman Smoother ، EEG ، پتانسیل های برانگیخته شنوایی ، شبکه توابع پایه شعاعی ، هموارساز کالمن ، الکتروانسفالوگرافی