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Article

Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task

by
Ce Zhang
1,*,
Christian Greve
1,2,
Gijsbertus Jacob Verkerke
1,3,
Charlotte Christina Roossien
2,
Han Houdijk
2 and
Juha M. Hijmans
1
1
Department of Rehabilitation Medicine, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
2
Department of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
3
Department of Biomechanical Engineering, University of Twente, Drienerlolaan 5, 7522 NB Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(21), 8342; https://doi.org/10.3390/s22218342
Submission received: 3 October 2022 / Revised: 24 October 2022 / Accepted: 27 October 2022 / Published: 30 October 2022
(This article belongs to the Special Issue Wearable Sensors for Physical Activity and Healthcare Monitoring)

Abstract

Surgeons are at high risk for developing musculoskeletal symptoms (MSS), like neck and back pain. Quantitative analysis of 3D neck and trunk movements during surgery can help to develop preventive devices such as exoskeletons. Inertial Measurement Units (IMU) and markerless motion capture methods are allowed in the operating room (OR) and are a good alternative for bulky optoelectronic systems. We aim to validate IMU and markerless methods against an optoelectronic system during a simulated surgery task. Intraclass correlation coefficient (ICC (2,1)), root mean square error (RMSE), range of motion (ROM) difference and Bland–Altman plots were used for evaluating both methods. The IMU-based motion analysis showed good-to-excellent (ICC 0.80–0.97) agreement with the gold standard within 2.3 to 3.9 degrees RMSE accuracy during simulated surgery tasks. The markerless method shows 5.5 to 8.7 degrees RMSE accuracy (ICC 0.31–0.70). Therefore, the IMU method is recommended over the markerless motion capture.
Keywords: inertial measurement unit; markerless motion capture; validation study; movement analysis inertial measurement unit; markerless motion capture; validation study; movement analysis

Share and Cite

MDPI and ACS Style

Zhang, C.; Greve, C.; Verkerke, G.J.; Roossien, C.C.; Houdijk, H.; Hijmans, J.M. Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task. Sensors 2022, 22, 8342. https://doi.org/10.3390/s22218342

AMA Style

Zhang C, Greve C, Verkerke GJ, Roossien CC, Houdijk H, Hijmans JM. Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task. Sensors. 2022; 22(21):8342. https://doi.org/10.3390/s22218342

Chicago/Turabian Style

Zhang, Ce, Christian Greve, Gijsbertus Jacob Verkerke, Charlotte Christina Roossien, Han Houdijk, and Juha M. Hijmans. 2022. "Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task" Sensors 22, no. 21: 8342. https://doi.org/10.3390/s22218342

APA Style

Zhang, C., Greve, C., Verkerke, G. J., Roossien, C. C., Houdijk, H., & Hijmans, J. M. (2022). Pilot Validation Study of Inertial Measurement Units and Markerless Methods for 3D Neck and Trunk Kinematics during a Simulated Surgery Task. Sensors, 22(21), 8342. https://doi.org/10.3390/s22218342

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