Joint time and time-frequency optimal detection of K-complexes in sleep EEG.

@article{Richard1998JointTA,
  title={Joint time and time-frequency optimal detection of K-complexes in sleep EEG.},
  author={Christelle Richard and R{\'e}gis Lengell{\'e}},
  journal={Computers and biomedical research, an international journal},
  year={1998},
  volume={31 3},
  pages={209-29}
}
Automated detection of waveforms such as delta and K-complex in the EEG is an important component of sleep stage monitoring. The K-complex is a key feature that contributes to sleep stages assessment. However, its automated detection is still difficult due to the stochastic nature of the EEG. In this paper, we propose a detection structure which can be interpreted as joint linear filtering operations in time and time-frequency domains. We also introduce a method of obtaining the optimum… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 28 references

Une nouvelle approche pour la détection linéaire optimale dans le plan temps-fréquence

  • Richard, C And, Lengelle
  • Proceedings, Seizième Colloque GRETSI sur le…
  • 1997

A Probabilistic Theory of Pattern Recognition

  • Devroye, L Gyorfi, L And, Lugosi
  • A Probabilistic Theory of Pattern Recognition
  • 1996

Detection of the K-Complex using a New Method of Recognizing Waveform Based on the Discrete Wavelet Transform

  • Z Tang, Ishii And
  • IEICE Trans. Inf. Syst
  • 1995

An Introduction to Signal Detection in Noise

  • H Poor
  • An Introduction to Signal Detection in Noise
  • 1994

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