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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9099306/ |