Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms.

@article{Clifford2012SignalQI,
  title={Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms.},
  author={Gari D. Clifford and Joachim A. Behar and Qiao Li and Iead Rezek},
  journal={Physiological measurement},
  year={2012},
  volume={33 9},
  pages={
          1419-33
        }
}
A completely automated algorithm to detect poor-quality electrocardiograms (ECGs) is described. The algorithm is based on both novel and previously published signal quality metrics, originally designed for intensive care monitoring. The algorithms have been adapted for use on short (5-10 s) single- and multi-lead ECGs. The metrics quantify spectral energy distribution, higher order moments and inter-channel and inter-algorithm agreement. Seven metrics were calculated for each channel (84… CONTINUE READING

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