Feature selection using binary simulated Kalman filter for peak classification of EEG signals

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[PDF][PDF] A comparative study of application of different non-conventional filters on electroencephalogram

GS Gupta, M Bhatnagar, S Kumar, RK Sinha - Biomed. Res, 2020 - academia.edu
Electroencephalography (EEG) is an electrophysiological monitoring technique to capture
the brains electrical activity. It is a noninvasive recording technique in which electrodes are …
被引用次数：4 相关文章

A Diversity-Based Adaptive Synchronous-Asynchronous Switching Simulated Kalman Filter Optimizer

NAA Aziz, NHA Aziz, B Muhammad, Z Ibrahim… - … : Proceedings of the 5th …, 2020 - Springer
Abstract The original Simulated Kalman Filter (SKF) is an optimizer that employs
synchronous update mechanism. The agents in SKF update their solutions after all fitness …
被引用次数：2 相关文章 所有 6 个版本