An Improved kNN Classifier for Epilepsy Diagnosis

The electroencephalogram (EEG) signals are important for reflecting seizures and the diagnosis of epilepsy. In this paper, a weighted k-nearest neighbor classifier based on Bray Curtis distance (WBCKNN) is proposed to implement automatic detection of epilepsy. The Fourier transform can transform the...

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Bibliographic Details
Main Authors: Zhiping Wang, Junying Na, Baoyou Zheng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
EEG
Online Access:https://ieeexplore.ieee.org/document/9099306/