Investigating the Effect of Motion Capture Suits on the Test–Retest Reliability of Gait Parameters
Source abstract
Abstract
When collecting marker-based motion capture data from clinical populations, speed of collection and comfort for the participant is a priority. This could be achieved by attaching markers to motion capture Velcro suits, as opposed to the skin. This study aimed to ascertain the reliability of sagittal-plane gait parameters estimated using Plug-in Gait (PiG) and Conventional Gait Model 2 (CGM2) marker sets from data collected in Suited and Non-suited (markers placed onto skin) conditions. For ten participants, markers were placed based on PiG and CGM2 models and data captured during a 2-min treadmill walk. Trials were repeated in suited and non-suited conditions. PiG ankle flexion/extension measurements had poor/moderate reliability (Non-suited ICC = 0.531, Suited ICC = 0.435). CGM2 ankle flexion/extension measurements had good/excellent reliability (Non-suited ICC = 0.916, Suited ICC = 0.900). There were significant differences in minimal detectable change (MDC) between conditions at the ankle for PiG (Non-suited MDC = 2.32°, Suited MDC = 18.90°), but not for CGM2 (Non-suited MDC = 0.63°, Suited MDC = 0.95°). When using CGM2, knee (Non-suited ICC = 0.878, Suited ICC = 0.855) and hip (Non-suited ICC = 0.897, Suited ICC = 0.948) showed good/excellent reliability in both conditions. A motion capture suit is not a reliable solution when collecting joint angle data using the PiG model but is reliable enough to consider when using the CGM2 model.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Winter Sports Injuries and Performance · Musculoskeletal pain and rehabilitation · Human-Automation Interaction and Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedical and Clinical Sciences, Public Health and Sports Sciences Department, University of Exeter Medical School, Exeter EX1 2HZ, UK
Public Health and Sports Sciences Department, University of Exeter Medical School, Exeter EX1 2HZ, UK
Genetics of Complex Traits, Department of Biomedical and Clinical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4QJ, UK
Clinical and Biomedical Science, University of Exeter Medical School, Exeter EX1 2LU, UK
Funding
Graham Cole Ph.D. Studentship · National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre (BRC)
References (31)
Show source-provided references
1. The reliability of three-dimensional kinematic gait measurements: A systematic review10.1016/j.gaitpost.2008.09.003 ↗
2. Molina-Rueda, F., Fernández-González, P., Cuesta-Gómez, A., Koutsou, A., Carratalá-Tejada, M., and Miangolarra-Page, J.C. (2021). Test-Retest Reliability of a Conventional Gait Model for Registering Joint Angles during Initial Contact and Toe-Off in Healthy Subjects. Int. J. Environ. Res. Public Health, 18.10.3390/ijerph18031343 ↗
3. The conventional gait model, an open-source implementation that reproduces the past but prepares for the future10.1016/j.gaitpost.2019.04.015 ↗
4. Between-day reliability and minimum detectable change of the Conventional Gait Model 2 and Plug-in Gait Model during running10.1016/j.gaitpost.2022.12.006 ↗
5. Minimising pain and medical adhesive related skin injuries in vulnerable patients10.12968/bjon.2019.28.15.S26 ↗
6. Stam Repeatability of lower limb three-dimensional kinematics in patients with stroke10.1016/j.gaitpost.2006.12.016 ↗
7. The effect of footwear and foot orthoses on transverse plane knee motion during running—A pilot study10.1016/j.jsams.2014.11.007 ↗
8. The Influence of Heal Lift Manipulation on Sagittal Plane Kinematics in Running10.1123/jab.15.2.139 ↗
9. Can Strength Training Predictably Improve Gait Kinematics? A Pilot Study on the Effects of Hip and Knee Extensor Strengthening on Lower-Extremity Alignment in Cerebral Palsy
10. The effects of ankle stiffness on mechanics and energetics of walking with added loads: A prosthetic emulator study10.1186/s12984-019-0621-x ↗
11. Systematic review and meta-analysis of gait mechanics in young and older adults10.1016/j.exger.2017.05.005 ↗
12. (2023). Motek R Mill M-Gait, Motek Medical.
13. Vicon (2024, September 21). About the Conventional Gait Model 2.3, Available online: https://help.vicon.com/download/attachments/12651006/Vicon%20ProCalc%20Generating%20VSKs%20Tutorial.pdf.
14. (2021). Qualisys Qualisys Track Manager, Qualisys.
15. C-Motion (2024). Visual 3D, C-Motion.
16. (2024, September 15). Tutorial: Plug-In Gait Lower-Limb, Available online: https://www.c-motion.com/v3dwiki/index.php?title=Tutorial:_Plug-In_Gait_Lower-Limb.
17. Vicon (2021). Vicon Procalc Generating Vsks Tutorial, Vicon.
18. Two simple methods for determining gait events during treadmill and overground walking using kinematic data10.1016/j.gaitpost.2007.07.007 ↗
19. ISB recommendation on definitions of joint coordinate system of various joint motion—Part I: Ankle, hip, and spine10.1016/S0021-9290(01)00222-6 ↗
20. Landers, R.N. (2015). Computing intraclass correlations (ICC) as estimates of interrater reliability in SPSS. Authorea.
21. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research10.1016/j.jcm.2016.02.012 ↗
22. Furlan, L., and Sterr, A. (2018). The applicability of standard error of measurement and minimal detectable change to motor learning research—A behavioral study. Front. Hum. Neurosci., 12.10.3389/fnhum.2018.00095 ↗
23. IBM Corp (2021). SPSS Statistics for Windows, IBM.
24. Standard measurement error and minimal detectable change of the Back-PAQ ArgSpan questionnaire: Secondary analysis10.1016/j.msksp.2020.102315 ↗
25. Amanda Ross, V.L.W. (2017). Paired Samples T-Test. Basic and Advanced Statistical Tests, Springer.10.1007/978-94-6351-086-8 ↗
26. Barefoot vs common footwear: A systematic review of the kinematic, kinetic and muscle activity differences during walking10.1016/j.gaitpost.2015.05.019 ↗
27. ASB Clinical Biomechanics Award Winner 2006: Prospective study of the biomechanical factors associated with iliotibial band syndrome10.1016/j.clinbiomech.2007.07.001 ↗
28. Reliability and minimum detectable change of the gait profile score for post-stroke patients10.1016/j.gaitpost.2016.07.149 ↗
29. Rethlefsen Comparison of kinematics between Theia markerless and conventional marker-based gait analysis in clinical patients10.1016/j.gaitpost.2023.05.029 ↗
30. Robert, M., Kanko, E.K.L., Elysia, M., Davis, W., and Scott Selbie Kevin, J. (2021). Deluzio Comparison of kinematics between Theia markerless and conventional marker-based gait analysis in clinical patients. J. Biomech., 127.
31. (2024, September 15). Optitrack.com. Available online: https://optitrack.com/accessories/wear/.