Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm
نویسندگان
چکیده
منابع مشابه
Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm
ss as: Pa aud Un Abstract Electroencephalogram (EEG) signals are often used to diagnose diseases such as seizure, alzheimer, and schizophrenia. One main problem with the recorded EEG samples is that they are not equally reliable due to the artifacts at the time of recording. EEG signal classification algorithms should have a mechanism to handle this issue. It seems that using adaptive classifie...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2014
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2013.01.001