Ergonomic study on nurses that attend the feeding task to neonates through data Acquisition, Validation, and processing obtained from depth sensors

Luis Zambrano Moya, José María Baydal-Bertomeú, Daysi Baño Morales, Patricio Fuentes Rosero, Iván Zambrano Orejuela, Mario Cesén Arteaga

Research output: Contribution to journalConference articlepeer-review

Abstract

The present study is focused on nurses that attend neonates, and more in detail on the standing bottle-feeding activity. To measure the ergonomic risk, REBA method analyzes the human body in two parts in order to get a final score that represents the risk level and the required action level in this task. Data will be obtained through the repetition of the task in a controlled and settled space with two different systems, a referenced one that is a photogrammetry laboratory and the other about depth sensors, which will be assessed. Besides setting the risk level of the task, the project assesses the sensor in a functional way and looks for using this experimental method in the future in real time and in real areas that need a quick and reliable ergonomic risk analysis. The results showed that depth sensors can be used as a reliable instrument to determine the risk level and that the feeding task presents a medium risk level which means that an action should be taken.

Original languageEnglish
Pages (from-to)23-27
Number of pages5
JournalMaterials Today: Proceedings
Volume49
DOIs
StatePublished - 2022
Externally publishedYes
Event1st International Virtual Conference on Mechanical Engineering Trends, MET 2021 - Virtual, Online, Ecuador
Duration: 24 Mar 202126 Mar 2021

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd. All rights reserved.

Keywords

  • Assessment
  • Ergonomic risk
  • Kinect V2 sensor
  • Kinescan
  • Musculoskeletal disorders
  • REBA

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