Background: Data smoothing of vital signs has been reported in the anesthesia literature, suggesting that clinical staff are biased toward measurements of normal physiology. However, these findings may be partially explained by clinicians interpolating spurious values from noisy signals and by the undersampling of physiological changes by infrequent manual observations. We explored the phenomenon of data smoothing using a method robust to these effects in a large postoperativ... Expand abstract
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- Anesthesia and Analgesia Journal website
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- Tomlinson et al.
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Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc.
on behalf of the International Anesthesia Research Society. This is an open
access article distributed under the Creative Commons Attribution License
4.0 (CCBY), which permits unrestricted use, distribution, and reproduction
in any medium, provided the original work is properly cited.
Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care