TY - JOUR
T1 - Ergonomic study on nurses that attend the feeding task to neonates through data Acquisition, Validation, and processing obtained from depth sensors
AU - Moya, Luis Zambrano
AU - Baydal-Bertomeú, José María
AU - Baño Morales, Daysi
AU - Rosero, Patricio Fuentes
AU - Orejuela, Iván Zambrano
AU - Arteaga, Mario Cesén
N1 - Publisher Copyright:
© 2022 Elsevier Ltd. All rights reserved.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Assessment
KW - Ergonomic risk
KW - Kinect V2 sensor
KW - Kinescan
KW - Musculoskeletal disorders
KW - REBA
UR - http://www.scopus.com/inward/record.url?scp=85123623514&partnerID=8YFLogxK
U2 - 10.1016/j.matpr.2021.07.436
DO - 10.1016/j.matpr.2021.07.436
M3 - Artículo de la conferencia
AN - SCOPUS:85123623514
SN - 2214-7853
VL - 49
SP - 23
EP - 27
JO - Materials Today: Proceedings
JF - Materials Today: Proceedings
T2 - 1st International Virtual Conference on Mechanical Engineering Trends, MET 2021
Y2 - 24 March 2021 through 26 March 2021
ER -