Segment-embedded frame definition affects the hip joint centre precision during walking.

Due to marker-specific soft tissue artefacts, the choice of the markers defining the segment-embedded frame affects the functional joint centre location, with subsequent error propagation to joint kinematics and kinetics in gait analysis. Our aim was to assess the effect of the number and placement of markers on the precision of the hip joint centre (HJC) location during walking. Twelve markers (2x6) were attached to the pelvis and left thigh of 15 young male subjects. Set-up movements were collected to locate an optimised functional HJC. For all permutations of three from six markers, a HJC was located and subsequently reconstructed in a static trial and during walking. Precision measures with two different definitions of the origin, namely a single maker or their mean-point, and using three, four, five and six were calculated. Finally, marker triads that reduced the variability of the HJC location were determined. Both the number of markers and method for defining the origin significantly affected the HJC precision during static and walking trials. For walking, precision of 39 mm using three markers improved to 5mm using redundant markers and the mean marker position as the segment origin. Markers placed close to the joint gave more consistent results.

[1]  P. Wedin,et al.  On condition numbers and algorithms for determining a rigid body movement , 1994 .

[2]  Patrick Lacouture,et al.  Comparison of the SCoRE and HA methods for locating in vivo the glenohumeral joint centre. , 2007, Journal of biomechanics.

[3]  Jerrod H. Levy.  Biomechanics : principles, trends and applications , 2010 .

[4]  Ahmet Erdemir,et al.  Assessment of the functional method of hip joint center location subject to reduced range of hip motion. , 2004, Journal of biomechanics.

[5]  Aurelio Cappozzo,et al.  Hip joint centre location: an ex vivo study. , 2009, Journal of biomechanics.

[6]  T P Andriacchi,et al.  A point cluster method for in vivo motion analysis: applied to a study of knee kinematics. , 1998, Journal of biomechanical engineering.

[7]  R. B. Davis,et al.  A gait analysis data collection and reduction technique , 1991 .

[8]  Angelo Cappello,et al.  Quantification of soft tissue artefact in motion analysis by combining 3D fluoroscopy and stereophotogrammetry: a study on two subjects. , 2005, Clinical biomechanics.

[9]  Mickaël Begon,et al.  Limitations of functionally determined joint centers for the analysis of athletic human movement: a case study of the upper limb. , 2009, Journal of applied biomechanics.

[10]  Morgan Sangeux,et al.  Determination of the optimal locations of surface-mounted markers on the tibial segment. , 2009, Gait & posture.

[11]  M Graw,et al.  Determination of sex from femora. , 2000, Forensic science international.

[12]  C. Bouby,et al.  Direct determination of the rotation in the polar decomposition of the deformation gradient by maximizing a Rayleigh quotient , 2005 .

[13]  A Cappello,et al.  Skin movement artefact assessment and compensation in the estimation of knee-joint kinematics. , 1998, Journal of biomechanics.

[14]  S Toksvig-Larsen,et al.  Validation of a functional method for the estimation of hip joint centre location. , 1999, Journal of biomechanics.

[15]  Herman J. Woltring,et al.  Representation and calculation of 3-D joint movement , 1991 .

[16]  J. Challis.  A procedure for determining rigid body transformation parameters. , 1995, Journal of biomechanics.

[17]  P R Cavanagh,et al.  Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation. , 2001, Journal of biomechanics.

[18]  W. Taylor,et al.  A survey of formal methods for determining the centre of rotation of ball joints. , 2006, Journal of biomechanics.

[19]  A Leardini,et al.  Position and orientation in space of bones during movement: experimental artefacts. , 1996, Clinical biomechanics.

[20]  Aurelio Cappozzo,et al.  An optimized protocol for hip joint centre determination using the functional method. , 2006, Journal of biomechanics.

[21]  M O Heller,et al.  Effective marker placement for functional identification of the centre of rotation at the hip. , 2012, Gait & posture.

[22]  P Lacouture,et al.  Effects of movement for estimating the hip joint centre. , 2007, Gait & posture.

[23]  A Cappello,et al.  Effects of hip joint centre mislocation on gait analysis results. , 2000, Journal of biomechanics.

[24]  U.D. Croce,et al.  Surface-marker cluster design criteria for 3-D bone movement reconstruction , 1997, IEEE Transactions on Biomedical Engineering.

[25]  Hartmut Witte,et al.  ISB recommendation on definitions of joint coordinate system of various joints for the reporting of human joint motion--part I: ankle, hip, and spine. International Society of Biomechanics. , 2002, Journal of biomechanics.

[26]  D R Pedersen,et al.  A comparison of the accuracy of several hip center location prediction methods. , 1990, Journal of biomechanics.

[27]  A. J. van den Bogert,et al.  Effect of skin movement on the analysis of skeletal knee joint motion during running. , 1997, Journal of biomechanics.

[28]  William R Taylor,et al.  The weighted optimal common shape technique improves identification of the hip joint center of rotation in vivo , 2011, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.