Classifying EEG-based motor imagery tasks by means of time–frequency synthesized spatial patterns

@article{Wang2004ClassifyingEM,
  title={Classifying EEG-based motor imagery tasks by means of time–frequency synthesized spatial patterns},
  author={Tao Wang and Jie Deng and Bin He},
  journal={Clinical Neurophysiology},
  year={2004},
  volume={115},
  pages={2744-2753}
}
OBJECTIVE To develop a single trial motor imagery (MI) classification strategy for the brain-computer interface (BCI) applications by using time-frequency synthesis approach to accommodate the individual difference, and using the spatial patterns derived from electroencephalogram (EEG) rhythmic components as the feature description. METHODS The EEGs are decomposed into a series of frequency bands, and the instantaneous power is represented by the envelop of oscillatory activity, which forms… CONTINUE READING
Highly Cited
This paper has 209 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 91 extracted citations

210 Citations

0102030'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 210 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 44 references

Time-course of cortical activation during overt and imagined movements

  • A Osman, A. Robert
  • Cognitive Neuroscience Annual Meeting,
  • 2001
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…