Temporal Patient State Characterization Using Iterative Order and Noise (ION) Estimation: Applications to Anesthesia Patient Monitoring

@article{Alterovitz2002TemporalPS,
  title={Temporal Patient State Characterization Using Iterative Order and Noise (ION) Estimation: Applications to Anesthesia Patient Monitoring},
  author={Gil Alterovitz and David H. Staelin and James H. Philip},
  journal={Journal of Clinical Monitoring and Computing},
  year={2002},
  volume={17},
  pages={351-359}
}
Objective.As more sensors are added to increasingly technology-dependent operating rooms (OR), physicians such as anesthesiologists must sift through an ever-increasing number of patient parameters every few seconds as part of their OR duties. To the extent these many parameters are correlated and redundant, manually monitoring all of them may not be an optimal physician strategy for assessing patient state or predicting future changes to guide their actions. Methods.The method is illustrated… CONTINUE READING
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