An Ultralow-Power Sleep Spindle Detection System on Chip

  title={An Ultralow-Power Sleep Spindle Detection System on Chip},
  author={Saam Iranmanesh and Esther Rodr{\'i}guez-Villegas},
  journal={IEEE Transactions on Biomedical Circuits and Systems},
This paper describes a full system-on-chip to automatically detect sleep spindle events from scalp EEG signals. These events, which are known to play an important role on memory consolidation during sleep, are also characteristic of a number of neurological diseases. The operation of the system is based on a previously reported algorithm, which used the Teager energy operator, together with the Spectral Edge Frequency (SEF50) achieving more than 70% sensitivity and 98% specificity. The… 
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