Analysis and classification of sleep EEG
نویسندگان
چکیده
منابع مشابه
Automatic Sleep Stage Classification Using Frequency Analysis of Eeg Signals
An automated sleep stage classification system relying only on the frequency analysis of the EEG signal is developed and analyzed in this paper. The classification system consists of the feature extraction algorithm and a neural network classifier. We investigate two different feature extraction methods: a classical FFT frequency analysis and a novel LMS based feature extraction. The same two-l...
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ژورنال
عنوان ژورنال: The International Conference on Electrical Engineering
سال: 2012
ISSN: 2636-4441
DOI: 10.21608/iceeng.2012.32692