Improved Functional Approach on Hip Joint Center Estimation

Article Preview

Abstract:

Finding the hip joint center (HJC) is crucial in human gait analysis since it affects kinematics and kinetics calculation of human lower limbs. Currently, the HJC location is found by either functional or prediction approaches. Prediction approaches simply use the pelvic geometric parameters to predict the HJC location. Functional approaches have been verified that they are more accurate than prediction methods with sufficient range of motion (ROM) data. However, for patients with locomotion problems to conduct full-ROM data, this paper proposes a method to fuse the functional and prediction approaches to have an intermediate result with less ROM data. The proposed method simulates large ROM data for the functional method to obtain an accurate HJC. We tested and verified the proposed method on three male subjects at the age of 25 with different body-mass indices. The experiment showed that the worst result of the proposed method was at least the same as that predicted by the prediction approach. While larger ROM data was applied, our result was significantly improved.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1547-1551

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Benedetti M G, Catani F, Leardini A, Pognotti E & Giannini S, Clinical Biomechanics, Vol. 13 (1998), pp.204-215.

DOI: 10.1016/s0268-0033(97)00041-7

Google Scholar

[2] Pennock G R & Clark K J, Journal of Biomechanics, Vol. 23 (1990), pp.1209-1218.

Google Scholar

[3] Croce U D, Leardini A, Chiari L & Cappozzo A, Gait and Posture, Vol. 21 (2005), pp.226-237.

DOI: 10.1016/j.gaitpost.2004.05.003

Google Scholar

[4] Kadaba M P, Ramakrichnan H K & Wootten M E, Journal of Orthopaedic Research, Vol. 8 (1990), pp.383-392. Seidel G K, Marchinda D M, Dijkers M & Soutas-Little R W, Journal of Biomechanics, 28 (1995) 995-998.

DOI: 10.1016/0021-9290(94)00149-x

Google Scholar

[5] Ramakrishnan H K & Kadaba M P, Journal of Biomechanics, Vol. 24 (1991), pp.969-977.

Google Scholar

[6] Stagni R, Leardini A, Cappozzo A, Benedetti M G & Cappello A, Journal of Biomechanics, Vol. 33 (2000), pp.1479-1487.

DOI: 10.1016/s0021-9290(00)00093-2

Google Scholar

[7] Cappozzo A, Human Movement Science, Vol. 3 (1984), pp.25-54.

Google Scholar

[8] Piazza S J, Okita N & Cavanagh P R, Journal of Biomechanics, Vol. 34 (2001), pp.967-973.

Google Scholar

[9] Bell A L, Pedersen D R & Brand R A, Journal of Biomechanics, Vol. 23 (1990), pp.617-621.

Google Scholar

[10] Davis III R B, Ounpuu S, Tyburski D & Gage J R, Human Movement Science, Vol. 10 (1991), pp.575-587.

Google Scholar

[11] Gamage S S H U & Lasenby J, Journal of Biomechanics, Vol. 35 (2002), pp.87-93.

Google Scholar

[12] Leardini A, Coppozzo A, Catani F, Toksvig-Larsen S, Petitto A, Sforza V, Cassanelli G & Giannini S, Journal of Biomechanics, Vol. 32 (1999), pp.99-103.

DOI: 10.1016/s0021-9290(98)00148-1

Google Scholar

[13] Seidel G K, Marchinda D M, Dijkers M & Soutas-Little R W, Journal of Biomechanics, Vol. 28 (1995), pp.995-998.

DOI: 10.1016/0021-9290(94)00149-x

Google Scholar