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In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects

Year 2014, Volume: 18 Issue: 3, 157 - 166, 04.01.2015

Abstract

Hip joint is one of the most stable joints in human body. It has intrinsic stability provided by its relatively rigid ball and socket configuration. The hip joint also has a wide range of motion, which allows normal locomotion and daily activities. Location of hip joint center (HJC) is an important parameter in gait analysis, biomechanical and clinical research laboratories to calculate human lower extremity kinematics and kinetics. Inaccuracies in estimation of hip joint center are shown to propagate errors in kinematic and kinetic calculations of lower extremities. In literature there are different methods to determine HJC. Although invasive methods like radiography, computed tomography and magnetic resonance imaging may be used to determine the location of HJC, in gait analysis laboratories, non-invasive functional and/or predictive methods are generally found to be more advantageous. Calculation of gait parameters from stereophotogrammetric data requires utilization of classical mechanics together with biomechanical models which represents human body as a mechanical system. Obviously, procedures employed in these calculations are directly associated with the experimental protocol. Adaptation of various joint center estimation methods to Middle East Technical University (METU) gait analysis system Kiss (Kinematic Support System in English, Kas İskelet Sistemi in Turkish) and investigation of the effects of joint center location on kinematic results undoubtedly require modifications to be introduced to the
experimental protocol, and consequently, to the calculation methodology. METU gait analysis system, utilizes one of the predictive methods, the Davis method to determine hip joint center location. This method is very straightforward and easy to use. However, in this method, the determination of the positions of anatomical landmarks depends on the experience of the conductor and anatomical properties of the specimens (any anatomical variations of the specific subject will cause errors). One of the major sources of error propagation in kinematic and kinetic calculations is due to misplacement of hip joint center. This study aims to experimentally verify different HJC estimation methods with those obtained from MRI in healthy subjects for the purpose of demonstrating and validating the contribution of MRI procedure in METU gait analysis system. Also combination of Bell’s method in posterior direction, Davis method in distal direction and Bell’s method in medial direction was analyzed and the results were criticized for the accuracy

References

  • Andriacchi, T. P., Andresson, R.W. Stern D. and Galante, J.O., 1980. A study of lower-limb mechanics during stair climbing. Journal of Bone Joint Surgery 62, 749-757.
  • Andriacchi, T.P. and Alexander E.J., 2000. Studies of human locomotion: past, present and future. Journal of Biomechanics 33, 1217-1224.
  • Bell, A.L., Brand, R.A. and Pedersen, D.R., 1989. Prediction of hip joint center location from external landmarks. Human Movement Science 8, 3-16.
  • Bell, A. L., Pedersen, D. R. and Brand, R. A., 1990. A comparison of the accuracy of several hip center location prediction methods. Journal of Biomechanics 23, 617-621.
  • Cappozzo, A., 1984. Gait analysis methodology. Human Movement Science 3, 27-50.
  • Davis III, R.B., Ounpuu, S., Tyburski, D. and Gage, J.R., 1991. A gait analysis data collection and reduction technique. Human Movement Science 10, 575- 587.
  • Güler H.C., 1998. Biomechanical modeling of lower extremity and simulation of foot during gait. PhD Thesis, Middle East Technical University, Ankara, Turkey.
  • Harrington M.E., Zavatsky A.B., Lawson S.E.M., Yuan Z., Theologis T.N., 2007. Prediction of the hip joint center in adults, children, and patients with cerebral palsy based on magnetic resonance imaging. Journal of Biomechanics 40, 595–602.
  • Hicks, J.L. and Richards, J.G., 2005. Clinical applicability of using spherical fitting to find hip joint centers. Gait and Posture 22, 138-145.
  • Piazza, S.J., Okita, N. and Cavanagh, P.R., 2001. Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation. Journal of Biomechanics 34, 967– 973.
  • Piazza, S. J., Erdemir, A., Okita, N. and Cavanagh, P. R., 2004. Assessment of the functional method of hip joint center location subject to reduced range of hip motion. Journal of Biomechanics 37, 349-356.
  • Seidel G.K., Marchinda D.M., Dijkers M., Soutas-Little, R.W. ,1995. Hip joint center location from palpable bony landmarks – a cadaver study. Journal of Biomechanics 28, 995-998.
  • Stagni, R., Leardini, A., Cappozzo, A., Benedetti, M.G. and Capello, A., 2000. Effects of hip joint centre mislocation on gait analysis results. Journal of Biomechanics 33, 1479-1487.
  • Shafiq, M.S., 1998. Motion tracking in gait analysis. MSc. Thesis, Middle East Technical University, Ankara, Turkey.
  • Söylemez, B., 2002. An investigation on the gait analysis protocol of the “KISS” motion analysis system.
  • University, Ankara, Turkey. Middle East
  • Technical Shafiq, MS; Tumer, ST; Guler, HC 2001 , Marker detection and trajectory generation algorithms for a multicamera
  • MECHATRONICS Volume: 11 Issue: 4 Pages: 409- 437 gait based analysis system.

In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects

Year 2014, Volume: 18 Issue: 3, 157 - 166, 04.01.2015

Abstract

Hip joint is one of the most stable joints in human body. It has
intrinsic stability provided by its relatively rigid ball and socket configuration.
The hip joint also has a wide range of motion, which allows normal locomotion
and daily activities. Location of hip joint center (HJC) is an important
parameter in gait analysis, biomechanical and clinical research laboratories to
calculate human lower extremity kinematics and kinetics. Inaccuracies in
estimation of hip joint center are shown to propagate errors in kinematic and
kinetic calculations of lower extremities.
In literature there are different methods to determine HJC. Although invasive
methods like radiography, computed tomography and magnetic resonance
imaging may be used to determine the location of HJC, in gait analysis
laboratories, non-invasive functional and/or predictive methods are generally
found to be more advantageous. Calculation of gait parameters from
stereophotogrammetric data requires utilization of classical mechanics
together with biomechanical models which represents human body as a
mechanical system. Obviously, procedures employed in these calculations are
directly associated with the experimental protocol. Adaptation of various joint
center estimation methods to Middle East Technical University (METU) gait
analysis system Kiss (Kinematic Support System in English, Kas İskelet Sistemi
in Turkish) and investigation of the effects of joint center location on kinematic
results undoubtedly require modifications to be introduced to the
experimental protocol, and consequently, to the calculation methodology.
METU gait analysis system, utilizes one of the predictive methods, the Davis
method to determine hip joint center location. This method is very
straightforward and easy to use. However, in this method, the determination of
the positions of anatomical landmarks depends on the experience of the
conductor and anatomical properties of the specimens (any anatomical
variations of the specific subject will cause errors). One of the major sources of
error propagation in kinematic and kinetic calculations is due to misplacement
of hip joint center.
This study aims to experimentally verify different HJC estimation methods
with those obtained from MRI in healthy subjects for the purpose of
demonstrating and validating the contribution of MRI procedure in METU gait
analysis system. Also combination of Bell's method in posterior direction,
Davis method in distal direction and Bell's method in medial direction was
analyzed and the results were criticized for the accuracy.

References

  • Andriacchi, T. P., Andresson, R.W. Stern D. and Galante, J.O., 1980. A study of lower-limb mechanics during stair climbing. Journal of Bone Joint Surgery 62, 749-757.
  • Andriacchi, T.P. and Alexander E.J., 2000. Studies of human locomotion: past, present and future. Journal of Biomechanics 33, 1217-1224.
  • Bell, A.L., Brand, R.A. and Pedersen, D.R., 1989. Prediction of hip joint center location from external landmarks. Human Movement Science 8, 3-16.
  • Bell, A. L., Pedersen, D. R. and Brand, R. A., 1990. A comparison of the accuracy of several hip center location prediction methods. Journal of Biomechanics 23, 617-621.
  • Cappozzo, A., 1984. Gait analysis methodology. Human Movement Science 3, 27-50.
  • Davis III, R.B., Ounpuu, S., Tyburski, D. and Gage, J.R., 1991. A gait analysis data collection and reduction technique. Human Movement Science 10, 575- 587.
  • Güler H.C., 1998. Biomechanical modeling of lower extremity and simulation of foot during gait. PhD Thesis, Middle East Technical University, Ankara, Turkey.
  • Harrington M.E., Zavatsky A.B., Lawson S.E.M., Yuan Z., Theologis T.N., 2007. Prediction of the hip joint center in adults, children, and patients with cerebral palsy based on magnetic resonance imaging. Journal of Biomechanics 40, 595–602.
  • Hicks, J.L. and Richards, J.G., 2005. Clinical applicability of using spherical fitting to find hip joint centers. Gait and Posture 22, 138-145.
  • Piazza, S.J., Okita, N. and Cavanagh, P.R., 2001. Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation. Journal of Biomechanics 34, 967– 973.
  • Piazza, S. J., Erdemir, A., Okita, N. and Cavanagh, P. R., 2004. Assessment of the functional method of hip joint center location subject to reduced range of hip motion. Journal of Biomechanics 37, 349-356.
  • Seidel G.K., Marchinda D.M., Dijkers M., Soutas-Little, R.W. ,1995. Hip joint center location from palpable bony landmarks – a cadaver study. Journal of Biomechanics 28, 995-998.
  • Stagni, R., Leardini, A., Cappozzo, A., Benedetti, M.G. and Capello, A., 2000. Effects of hip joint centre mislocation on gait analysis results. Journal of Biomechanics 33, 1479-1487.
  • Shafiq, M.S., 1998. Motion tracking in gait analysis. MSc. Thesis, Middle East Technical University, Ankara, Turkey.
  • Söylemez, B., 2002. An investigation on the gait analysis protocol of the “KISS” motion analysis system.
  • University, Ankara, Turkey. Middle East
  • Technical Shafiq, MS; Tumer, ST; Guler, HC 2001 , Marker detection and trajectory generation algorithms for a multicamera
  • MECHATRONICS Volume: 11 Issue: 4 Pages: 409- 437 gait based analysis system.
There are 18 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Özel Sayı
Authors

Abdollah Yousefı This is me

Ergin Tönük This is me

Behzat Kentel This is me

Publication Date January 4, 2015
Published in Issue Year 2014 Volume: 18 Issue: 3

Cite

APA Yousefı, A., Tönük, E., & Kentel, B. (2015). In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 18(3), 157-166.
AMA Yousefı A, Tönük E, Kentel B. In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects. SDÜ Fen Bil Enst Der. January 2015;18(3):157-166.
Chicago Yousefı, Abdollah, Ergin Tönük, and Behzat Kentel. “In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 18, no. 3 (January 2015): 157-66.
EndNote Yousefı A, Tönük E, Kentel B (January 1, 2015) In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 18 3 157–166.
IEEE A. Yousefı, E. Tönük, and B. Kentel, “In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects”, SDÜ Fen Bil Enst Der, vol. 18, no. 3, pp. 157–166, 2015.
ISNAD Yousefı, Abdollah et al. “In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 18/3 (January 2015), 157-166.
JAMA Yousefı A, Tönük E, Kentel B. In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects. SDÜ Fen Bil Enst Der. 2015;18:157–166.
MLA Yousefı, Abdollah et al. “In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 18, no. 3, 2015, pp. 157-66.
Vancouver Yousefı A, Tönük E, Kentel B. In Vivo Verification of Different Hip Joint Center Estimation Methods in Gait Analysis For Healthy Subjects. SDÜ Fen Bil Enst Der. 2015;18(3):157-66.

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