Adaptive spatio-temporal filtration of bioelectrical signals

@article{Ostlund2005AdaptiveSF,
  title={Adaptive spatio-temporal filtration of bioelectrical signals},
  author={N. Ostlund and Urban Wiklund and Jike Yu and J. S. Karlsson},
  journal={2005 IEEE Engineering in Medicine and Biology 27th Annual Conference},
  year={2005},
  pages={5983-5986}
}
In this paper we show how independent component analysis (ICA) algorithms can be used to perform spatio-temporal filtration of electromyographic (EMG) and electrocardiographic (ECG) signals. The technique was used to decompose the EMG signals into motor unit action potential (MUAP) trains. From the 88 outputs of the adaptive spatio-temporal filtration, three groups of different MUAP train patterns were found. The technique was also used to obtain a fetus' ECG and showed better result compared… CONTINUE READING

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