English

Posture Recognition in the Critical Care Settings using Wearable Devices

Human-Computer Interaction 2021-10-08 v2 Machine Learning Signal Processing Applications

Abstract

Low physical activity levels in the intensive care units (ICU) patients have been linked to adverse clinical outcomes. Therefore, there is a need for continuous and objective measurement of physical activity in the ICU to quantify the association between physical activity and patient outcomes. This measurement would also help clinicians evaluate the efficacy of proposed rehabilitation and physical therapy regimens in improving physical activity. In this study, we examined the feasibility of posture recognition in an ICU population using data from wearable sensors.

Keywords

Cite

@article{arxiv.2110.02768,
  title  = {Posture Recognition in the Critical Care Settings using Wearable Devices},
  author = {Anis Davoudi and Patrick J. Tighe and Azra Bihorac and Parisa Rashidi},
  journal= {arXiv preprint arXiv:2110.02768},
  year   = {2021}
}

Comments

8 pages

R2 v1 2026-06-24T06:40:15.314Z