Signal quality indices and data fusion for determining clinical acceptability of electrocardiograms.
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-...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2012
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