Effective data validation of high-frequency data: time-point-, time-interval-, and trend-based methods.

@article{Horn1997EffectiveDV,
  title={Effective data validation of high-frequency data: time-point-, time-interval-, and trend-based methods.},
  author={Werner Horn and Silvia Miksch and Gerhilde Egghart and Christian Popow and Franz Paky},
  journal={Computers in biology and medicine},
  year={1997},
  volume={27 5},
  pages={389-409}
}
Real-time systems for monitoring and therapy planning, which receive their data from on-line monitoring equipment and computer-based patient records, require reliable data. Data validation has to utilize and combine a set of fast methods to detect, eliminate, and repair faulty data, which may lead to life-threatening conclusions. The strength of data validation results from the combination of numerical and knowledge-based methods applied to both continuously-assessed high-frequency data and… CONTINUE READING

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