The Journal of Korean Physical Therapy

The Korean Society of Physical Therapy (대한물리치료학회)
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Validity and Reliability of an Inertial Measurement Unit-Based 3D Angular Measurement of Shoulder Joint Motion

  • Yoon, Tae-Lim (Department of Physical Therapy, College of Health Science, Cheongju University)
  • Received : 2017.06.08
  • Accepted : 2017.06.16
  • Published : 2017.06.30
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Abstract

Purpose: The purpose of this study was to investigate the validity and reliability of the measurement of shoulder joint motions using an inertial measurement unit (IMU). Methods: For this study, 33 participants (32 females and 1 male) were recruited. The subjects were passively positioned with the shoulder placed at specific angles using a goniometer (shoulder flexion $0^{\circ}-170^{\circ}$, abduction $0^{\circ}-170^{\circ}$, external rotation $0^{\circ}-90^{\circ}$, and internal rotation $0^{\circ}-60^{\circ}$ angles). Kinematic data on the shoulder joints were simultaneously obtained using IMU three-dimensional (3D) angular measurement (MyoMotion) and photographic measurement. Test-retest reliability and concurrent validity were examined. Results: The MyoMotion system provided good to very good relative reliability with small standard error of measurement (SEM) and minimal detectable change (MDC) values from all three planes. It also presented acceptable validity, except for some of shoulder flexion, shoulder external rotation, and shoulder abduction. There was a trend for the shoulder joint measurements to be underestimated using the IMU 3D angular measurement system compared to the goniometer and photo methods in all planes. Conclusion: The IMU 3D angular measurement provided a reliable measurement and presented acceptable validity. However, it showed relatively low accuracy in some shoulder positions. Therefore, using the MyoMotion measurement system to assess shoulder joint angles would be recommended only with careful consideration and supervision in all situations.

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References

  1. Awan R, Smith J, Boon AJ. Measuring shoulder internal rotation range of motion: a comparison of 3 techniques. Arch Phys Med Rehabil. 2002; 83(9):1229-34. https://doi.org/10.1053/apmr.2002.34815
  2. Terwee CB, de Winter AF, Scholten RJ et al. Interobserver reproducibility of the visual estimation of range of motion of the shoulder. Arch Phys Med Rehabil. 2005;86(7):1356-61. https://doi.org/10.1016/j.apmr.2004.12.031
  3. Hayes K, Walton JR, Szomor ZR et al. Reliability of five methods for assessing shoulder range of motion. Aust J Physiother. 2001;47(4):289-94. https://doi.org/10.1016/S0004-9514(14)60274-9
  4. Williams JG, Callaghan M. Comparison of visual estimation and goniometry in determination of a shoulder joint angle. Physiotherapy. 1990; 76(10):655-7. https://doi.org/10.1016/S0031-9406(10)63103-3
  5. Omkar SN, Kumar MM, Mudigere D. Postural assessment of arbitrarily taken portrait and profile photographs using ImageJ. J Bodyw Mov Ther. 2007;11(3):231-7. https://doi.org/10.1016/j.jbmt.2006.12.003
  6. Cutti AG, Giovanardi A, Rocchi L et al. Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors. Med Biol Eng Comput. 2008;46(2):169-78. https://doi.org/10.1007/s11517-007-0296-5
  7. de Vries WH, Veeger HE, Cutti AG et al. Functionally interpretable local coordinate systems for the upper extremity using inertial & magnetic measurement systems. J Biomech. 2010;43(10):1983-8. https://doi.org/10.1016/j.jbiomech.2010.03.007
  8. Faber GS, Kingma I, Bruijn SM et al. Optimal inertial sensor location for ambulatory measurement of trunk inclination. J Biomech. 2009;42(14): 2406-9. https://doi.org/10.1016/j.jbiomech.2009.06.024
  9. Kang GE, Gross MM. Concurrent validation of magnetic and inertial measurement units in estimating upper body posture during gait. Measurement. 2016;82:240-5. https://doi.org/10.1016/j.measurement.2016.01.007
  10. Maykut JN, Taylor-Haas JA, Paterno MV et al. Concurrent validity and reliability of 2d kinematic analysis of frontal plane motion during running. Int J Sports Phys Ther. 2015;10(2):136-46.
  11. Bullock MP, Foster NE, Wright CC. Shoulder impingement: the effect of sitting posture on shoulder pain and range of motion. Man Ther. 2005; 10(1):28-37. https://doi.org/10.1016/j.math.2004.07.002
  12. Struzik A, Konieczny G, Stawarz M et al. Relationship between lower limb angular kinematic variables and the effectiveness of sprinting during the acceleration phase. Appl Bionics Biomech. 2016;2016:7840709.
  13. Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420-8. https://doi.org/10.1037/0033-2909.86.2.420
  14. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1997;33(1):159-74. https://doi.org/10.2307/2529310
  15. Stratford PW, Binkley JM, Riddle DL. Health status measures: strategies and analytic methods for assessing change scores. Phys Ther. 1996; 76(10):1109-23. https://doi.org/10.1093/ptj/76.10.1109
  16. Stratford PW, Binkley J, Solomon P et al. Defining the minimum level of detectable change for the Roland-Morris questionnaire. Phys Ther. 1996;76(4):359-65. https://doi.org/10.1093/ptj/76.4.359
  17. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;8(1):307-10
  18. Huber ME, Seitz AL, Leeser M et al. Validity and reliability of Kinect skeleton for measuring shoulder joint angles: a feasibility study. Physiotherapy. 2015;101(4):389-93. https://doi.org/10.1016/j.physio.2015.02.002
  19. Leardini A, Lullini G, Giannini S et al. Validation of the angular measurements of a new inertial-measurement-unit based rehabilitation system: comparison with state-of-the-art gait analysis. J Neuroeng Rehabil. 2014;11:136. https://doi.org/10.1186/1743-0003-11-136
  20. Orlowski K, Eckardt F, Herold F et al. Examination of the reliability of an inertial sensor-based gait analysis system. Biomed Tech (Berl). 2017.
  21. Zhou H, Stone T, Hu H et al. Use of multiple wearable inertial sensors in upper limb motion tracking. Med Eng Phys. 2008;30(1):123-33. https://doi.org/10.1016/j.medengphy.2006.11.010
  22. Cuesta-Vargas AI, Galan-Mercant A, Williams JM. The use of inertial sensors system for human motion analysis. Phys Ther Rev. 2010;15(6): 462-73. https://doi.org/10.1179/1743288X11Y.0000000006
  23. Gribble P, Hertel J, Denegar C et al. Reliability and validity of a 2-D video digitizing system during a static and a dynamic task. J Sport Rehabil. 2005;14(2):137-49. https://doi.org/10.1123/jsr.14.2.137
  24. Richards JG. The measurement of human motion: a comparison of commercially available systems. Hum Mov Sci. 1999;18(5):589-602. https://doi.org/10.1016/S0167-9457(99)00023-8
  25. Reinold MM, Wilk KE, Fleisig GS et al. Electromyographic analysis of the rotator cuff and deltoid musculature during common shoulder external rotation exercises. J Orthop Sports Phys Ther. 2004;34(7):385-94. https://doi.org/10.2519/jospt.2004.34.7.385

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