Topology Preserving Domain Adaptation for Addressing Subject Based Variability in SEMG Signal

@inproceedings{Chattopadhyay2011TopologyPD,
  title={Topology Preserving Domain Adaptation for Addressing Subject Based Variability in SEMG Signal},
  author={Rita Chattopadhyay and Narayanan Chatapuram Krishnan and Sethuraman Panchanathan},
  booktitle={AAAI Spring Symposium: Computational Physiology},
  year={2011}
}
A subject independent computational framework is one which does not require to be calibrated by the specific subject data to be ready to be used on the subject. The greatest challenge in developing such a framework is the variation in parameters across subjects which is termed as subject based variability. Spectral and amplitude variations in surface myoelectric signals (SEMG) are analyzed to determine the fatigue state of a muscle. But variations in the spectrum and magnitude of myoelectric… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
15 Citations
20 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 15 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Similar Papers

Loading similar papers…