Higher Order Spectra Analysis of EEG Signals in Emotional Stress States

@article{Hosseini2010HigherOS,
  title={Higher Order Spectra Analysis of EEG Signals in Emotional Stress States},
  author={Seyyed Abed Hosseini and Mohammad Ali Khalilzadeh and Mohammad bagher Naghibi-Sistani and Vahid Niazmand},
  journal={2010 Second International Conference on Information Technology and Computer Science},
  year={2010},
  pages={60-63}
}
This paper proposes an emotional stress recognition system with EEG signals using higher order spectra (HOS). A visual induction based acquisition protocol is designed for recording the EEG signals in five channels (FP1, FP2, T3, T4 and Pz) under two emotional stress states of participants, Calm neutral and Negatively exited. After pre-processing the signals, higher order spectra are employed to extract the features for classifying human emotions. We used Genetic Algorithm for optimum features… CONTINUE READING

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