Estimating Depth of Anesthesia from EEG Signals Using Wavelet Transform
نویسندگان
چکیده
منابع مشابه
Classification of EEG signals using the wavelet transform
Ahsrr-ucr-This paper describes the application of an artificial neural network (ANN) technique together with a feature extraction technique, viz., the wavelet transform, for the classification of EEG signals. Three classes of EEG signals were used: Normal, Schizophrenia (SCH), and Obsessive Compulsive Disorder (OCD). The architecture of the artificial neural network used in the classification i...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Information Systems
سال: 2014
ISSN: 2328-7675
DOI: 10.11648/j.ijiis.20140304.12