Brain computer interfacing: A spectrum estimation based neurophysiological signal interpretation

@article{Seth2017BrainCI,
  title={Brain computer interfacing: A spectrum estimation based neurophysiological signal interpretation},
  author={Debojyoti Seth and Debashis Chakraborty and Prasun Ghosal and Salil Kumar Sanyal},
  journal={2017 4th International Conference on Signal Processing and Integrated Networks (SPIN)},
  year={2017},
  pages={534-539}
}
  • Debojyoti Seth, Debashis Chakraborty, +1 author Salil Kumar Sanyal
  • Published in
    4th International Conference…
    2017
  • Computer Science
  • Non-invasive process like Electroencephalogram or Electromyogram are much preferred among various Brain-Computer Interfaces techniques. Parametric method for spectral density calculation could be beneficial for such signal due to certain advantages over non-parametric methods like avoiding side-lobe leakages. Auto-regressive and Crosscorrelative analysis of EEG or EMG signals are performed to infer their nature. Nowadays, doctors can prescribe medicines or further investigations simply based on… CONTINUE READING

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