Prediction and early detection of delirium in the intensive care unit by using heart rate variability and machine learning.

Journal: Physiological measurement
Published Date: Mar 27, 2018

Abstract

OBJECTIVE: Delirium is an important syndrome found in patients in the intensive care unit (ICU), however, it is usually under-recognized during treatment. This study was performed to investigate whether delirious patients can be successfully distinguished from non-delirious patients by using heart rate variability (HRV) and machine learning.

Authors

  • Jooyoung Oh
    Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea. These authors contributed equally to this work.
  • Dongrae Cho
  • Jaesub Park
  • Se Hee Na
  • Jongin Kim
  • Jaeseok Heo
  • Cheung Soo Shin
  • Jae-Jin Kim
  • Jin Young Park
  • Boreom Lee
    Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.

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