Ergonomic risk analysis inherent in neonate bathing activity performed by nurses using the REBA methodology through kinect depth sensors

Miguel Pérez Sancho, Daysi Baño Morales, José María Baydal-Bertomeu, Iván Zambrano, Ricardo Soto


The absence of quantitative parameters to determine the mobility of the body segments required by functional assessment scales such as Rapid Entire Body Assessment (REBA) reduces its reliability by identifying risks based only on postural observation. This work measures the ergonomic risk associated with the neonatal bathing activity performed by nurses, the influence of the introduction of Kinect sensors, and their marker-less skeleton tracking function in conjunction with the postural analysis tool REBA to reduce the inter-observer variability and the subjectivity of the results. Many people without injuries reproduced the sequence of movements of a baby's body wash task, selected as the most critical within the activity. The use of a reference motion capture system, such as photogrammetry, was used to check the validity of Kinect as a measurement instrument and its precision. Variables such as the recording frequency of the sensors, and their location to the participants, influence the detection of body positions. This paper demonstrates the need for improving the nurses’ posture because it is associated with an intermediate level of ergonomic risk and requires intervention.


Functional assessment; Ergonomic risk; Kinect sensors; REBA; Photogrammetry

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A. F. Macedo Ribeiro et al., “Reference Values for Human Posture Measurements Based on Computerized Photogrammetry: A Systematic Review,” J. Manipulative Physiol. Ther., vol. 40, no. 3, pp. 156–168, Mar. 2017, DOI: 10.1016/j.jmpt.2016.12.001.

C. Soler et al., “Cuadernos De Biomecánica - Valoración Funcional,” Valencia, 2012.

A. y S. Instituto Sindical de Trabajo, “Daños a la salud. Trastornos musculoesqueléticos (TME) Módulo 2 1,” 8-25, 2015.

L. Rik, O. De Beeck, and V. Hermans, “work-related low back disorders report prepared by,” Luxembourg, 2000.

A. Magora, “Investigation of the relation between low back pain and occupation. 6. Medical history and symptoms.,” Scand. J. Rehabil. Med., vol. 6, no. 2, pp. 81–8, 1974.

A. Calso, V. Carrilero, N. Moreno, and M. del M. Sustacha, “Fatiga Postural: Centrada En La Espalda Del Personal De Enfermeria De Las Unidades De Medicina Interna,” Retos las nuevas Unidades Docentes Med. del Trab., pp. 53–59, 2006.

C. Fedorak, N. Ashworth, J. Marshall, and H. Paull, “Reliability of the visual assessment of cervical and lumbar lordosis: How good are we?,” Spine (Phila. Pa. 1976)., vol. 28, no. 16, pp. 1857–1859, Aug. 2003, DOI: 10.1097/01.BRS.0000083281.48923.BD.

Ergonomic Plus Inc., “A Step-by-Step Guide Rapid Entire Body Assessment (REBA),” 2018.

M. Joshi and V. Deshpande, “Investigative study and sensitivity analysis of Rapid Entire Body Assessment (REBA),” Int. J. Ind. Ergon., vol. 79, p. 103004, Sep. 2020, DOI: 10.1016/j.ergon.2020.103004.

T. T. An Shen, “Marker-less motion capture for biomechanical analysis using the Kinect sensor,” 2014.

P. Plantard, A. Muller, C. Pontonnier, G. Dumont, H. P. H. Shum, and F. Multon, “Inverse dynamics based on occlusion-resistant Kinect data: Is it usable for ergonomics?,” Int. J. Ind. Ergon., vol. 61, pp. 71–80, 2017, DOI: 10.1016/j.ergon.2017.05.010.

P. Plantard, H. P. H. Shum, A. S. Le Pierres, and F. Multon, “Validation of an ergonomic assessment method using Kinect data in real workplace conditions,” Appl. Ergon., vol. 65, pp. 562–569, 2017, DOI: 10.1016/j.apergo.2016.10.015.

H. Haggag, M. Hossny, S. Nahavandi, and D. Creighton, “Real-time ergonomic assessment for assembly operations using Kinect,” in Proceedings - UKSim 15th International Conference on Computer Modelling and Simulation, UKSim 2013, 2013, pp. 495–500, DOI: 10.1109/UKSim.2013.105.

D. Nahavandi and M. Hossny, “Skeleton-free RULA ergonomic assessment using Kinect sensors,” Intell. Decis. Technol., vol. 11, no. 3, pp. 275–284, Jan. 2017, DOI: 10.3233/IDT-170292.

R. A. Clark et al., “Validity of the Microsoft Kinect for assessment of postural control,” Gait Posture, vol. 36, no. 3, pp. 372–377, Jul. 2012, DOI: 10.1016/j.gaitpost.2012.03.033.

T. Dutta, “Evaluation of the KinectTM sensor for 3-D kinematic measurement in the workplace,” Appl. Ergon., vol. 43, no. 4, pp. 645–649, 2012, DOI: 10.1016/j.apergo.2011.09.011.

D. Mas and J. Antonio, “Evaluación postural mediante el método REBA. Ergonauas,” Universidad Politécnica de Valencia, 2015.

C. Berlin and C. Adams, Production Ergonomics: Designing Work Systems to Support Optimal Human Performance, First. London: Ubiquity Press, 2017.

G. Wilhelmus Johannes Andreas and E. Johanssons, “Observational Methods for Assessing Ergonomic Risks for Work-Related Musculoskeletal Disorders. A Scoping Review,” Rev. Ciencias la Salud, vol. 16, no. Special Issue, pp. 8–38, Jun. 2018, DOI: 10.12804/

J. R. Terven and D. M. Córdova-Esparza, “Kin2. A Kinect 2 toolbox for MATLAB,” Sci. Comput. Program., vol. 130, pp. 97–106, 2016, doi: 10.1016/j.scico.2016.05.009.

D. Sow, D. S. Turaga, and M. Schmidt, “Mining of sensor data in healthcare: A survey,” in Managing and Mining Sensor Data, vol. 9781461463, Springer US, 2013, pp. 459–504.

A. I. Faisal, S. Majumder, T. Mondal, D. Cowan, S. Naseh, and M. J. Deen, “Monitoring methods of human body joints: State-of-the-art and research challenges,” Sensors (Switzerland), vol. 19, no. 11, Jun. 2019, DOI: 10.3390/s19112629.

M. A. Rahman, M. A. Rashid, and M. Ahmad, “Selecting the optimal conditions of Savitzky–Golay filter for fNIRS signal,” Biocybern. Biomed. Eng., vol. 39, no. 3, pp. 624–637, Jul. 2019, DOI: 10.1016/j.bbe.2019.06.004.

Instituto de Biomecánica de Valencia (IBV), “Kinescan/IBV V2014,” Valencia, España, 2018.

S. Choppin, B. Lane, and J. Wheat, “The accuracy of the Microsoft Kinect in joint angle measurement,” Sport. Technol., vol. 7, no. 1–2, pp. 98–105, Apr. 2014, DOI: 10.1080/19346182.2014.968165.

S. Cilveti Gubía and V. Idoate Gracía, “Protocolos De Vigilancia Sanitaria Específica Posturas Forzadas Comisión De Salud Pública Consejo Interterritorial Del Sistema Nacional De Salud,” Madrid, 2000.



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Copyright (c) 2021 Miguel Pérez Sancho, Daysi Baño Morales, José María Baydal-Bertomeu, Iván Zambrano, Ricardo Soto

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ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License