Autoregressive Integrated Adaptive Neural Networks Classifier for EEG-P300 Classification
نویسندگان
چکیده
منابع مشابه
Classifying Mental Activities from Eeg-p300 Signals Using Adaptive Neural Networks
In this paper, a new adaptive neural network classifier (ANNC) of EEGP300 signals from mental activities is proposed. To overcome an overtraining of the classifier caused by noisy and non-stationary data, the EEG signals are filtered and their autoregressive (AR) properties are extracted using an AR model before being passed to the ANNC. For evaluation purposes, the same data in Hoffmann et al....
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ژورنال
عنوان ژورنال: Journal of Mechatronics, Electrical Power, and Vehicular Technology
سال: 2013
ISSN: 2087-3379,2088-6985
DOI: 10.14203/j.mev.2013.v4.1-8