K-Complex Detection Using a Hybrid-Synergic Machine Learning Method

@article{Vu2012KComplexDU,
  title={K-Complex Detection Using a Hybrid-Synergic Machine Learning Method},
  author={Huy Quan Vu and Gang Li and Nadezda Sukhorukova and Gleb Beliakov and Shaowu Liu and Carole Philippe and H{\'e}l{\`e}ne Amiel and Adrien Ugon},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)},
  year={2012},
  volume={42},
  pages={1478-1490}
}
Sleep stage identification is the first step in modern sleep disorder diagnostics process. K-complex is an indicator for the sleep stage 2. However, due to the ambiguity of the translation of the medical standards into a computer-based procedure, reliability of automated K-complex detection from the EEG wave is still far from expectation. More specifically, there are some significant barriers to the research of automatic K-complex detection. First, there is no adequate description of K-complex… CONTINUE READING

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