Detection of hidden rhythms in surface EMG signals with a non-linear time-series tool.

@article{Filligoi1999DetectionOH,
  title={Detection of hidden rhythms in surface EMG signals with a non-linear time-series tool.},
  author={Gian Carlo Filligoi and Federico Felici},
  journal={Medical engineering & physics},
  year={1999},
  volume={21 6-7},
  pages={439-48}
}
The analysis of the surface electromyographic (sEMG) signal is particularly attractive because it provides relatively easy access to those physiological processes that allow the muscle to generate force and movement. In this paper, one of the possible applications of recurrence plot strategy to the analysis of sEMG is described. Recurrence Quantification Analysis (RQA) is an efficient time-series analysis tool pertaining to the class of non-linear dynamics time-domain processing. We analysed… CONTINUE READING

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