Implementation of K nearest neighbour algorithm to minimize the false detection rate of epilepsy using novel classification approach in comparison with artificial neural network algorithm
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0179045
Reference10 articles.
1. Bugeja, Sylvia, and Eliazar E. Audu. 2016. “A Novel Method of EEG Data Acquisition, Feature Extraction and Feature Space Creation for Early Detection of Epileptic Seizures.” IEEE Engineering in Medicine and Biology Society. Conference 2016: 837–40.
2. Chen, Duo, and Forrest Sheng Bao. 2017. “A High-Performance Seizure Detection Algorithm Based on Discrete Wavelet Transform (DWT) and EEG.” PloS One 12 (3): 73138.
3. Comparison of different input modalities and network structures for deep learning-based seizure detection
4. An efficient automated technique for epilepsy seizure detection using EEG signals
5. Li, Chaosong, Yanli Zhang, Minxing Geng, Zhen Liu, Shang Wang, and Wei Shang. 2021. “Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern.” A Publication of the IEEE Engineering in Medicine and Biology Society 29: 458–67.
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