A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform

@article{Peker2016ANA,
  title={A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform},
  author={Musa Peker},
  journal={Computer methods and programs in biomedicine},
  year={2016},
  volume={129},
  pages={203-16}
}
Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and difficult process. Generally, electroencephalogram (EEG) signals are used in sleep scoring. In this study, a new complex classifier-based approach is presented for automatic sleep scoring using EEG signals. In this context, complex-valued methods were utilized in the feature… CONTINUE READING