An automatic sleep spindle detector based on wavelets and the teager energy operator

@article{Ahmed2009AnAS,
  title={An automatic sleep spindle detector based on wavelets and the teager energy operator},
  author={Beena Ahmed and Amira Redissi and Reza Tafreshi},
  journal={2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2009},
  pages={2596-2599}
}
Sleep spindles are one of the most important short-lasting rhythmic events occurring in the EEG during Non-Rapid Eye Movement sleep. Their accurate identification in a polysomnographic signal is essential for sleep professionals to help them mark Stage 2 sleep. Visual spindle scoring however is a tedious workload, as there are often a thousand spindles in an all-night recording. In this paper a novel approach for the automatic detection of sleep spindles based upon the Teager Energy Operator… CONTINUE READING
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