Literature DB >> 18672243

Whole body inverse dynamics over a complete gait cycle based only on measured kinematics.

Lei Ren1, Richard K Jones, David Howard.   

Abstract

This paper presents a three-dimensional (3D) whole body multi-segment model for inverse dynamics analysis over a complete gait cycle, based only on measured kinematic data. The sequence of inverse dynamics calculations differs significantly from the conventional application of inverse dynamics using force plate data. A new validated "Smooth Transition Assumption" was used to solve the indeterminacy problem in the double support phase. Kinematic data is required for all major body segments and, hence, a whole body gait measurement protocol is presented. Finally, sensitivity analyses were conducted to evaluate the effects of digital filtering and body segment parameters on the accuracy of the prediction results. The model gave reasonably good estimates of sagittal plane ground forces and moment; however, the estimates in the other planes were less good, which we believe is largely due to their small magnitudes in comparison to the sagittal forces and moment. The errors observed are most likely caused by errors in the kinematic data resulting from skin movement artefact and by errors in the estimated body segment parameters. A digital filtering cut-off frequency of 4.5 Hz was found to produce the best results. It was also shown that errors in the mass properties of body segments can play a crucial role, with changes in properties sometimes having a disproportionate effect on the calculated ground reactions. The implication of these results is that, even when force plate data is available, the estimated joint forces are likely to suffer from similar errors.

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Year:  2008        PMID: 18672243     DOI: 10.1016/j.jbiomech.2008.06.001

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  32 in total

1.  Development of a Subject-Specific Foot-Ground Contact Model for Walking.

Authors:  Jennifer N Jackson; Chris J Hass; Benjamin J Fregly
Journal:  J Biomech Eng       Date:  2016-09-01       Impact factor: 2.097

Review 2.  Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review.

Authors:  Valentina Camomilla; Andrea Cereatti; Andrea Giovanni Cutti; Silvia Fantozzi; Rita Stagni; Giuseppe Vannozzi
Journal:  Biomed Eng Online       Date:  2017-08-18       Impact factor: 2.819

3.  Predicting the Internal Knee Abduction Impulse During Walking Using Deep Learning.

Authors:  Issam Boukhennoufa; Zainab Altai; Xiaojun Zhai; Victor Utti; Klaus D McDonald-Maier; Bernard X W Liew
Journal:  Front Bioeng Biotechnol       Date:  2022-05-12

4.  Determination of rigid body registration marker error from edge error.

Authors:  Clark R Andersen
Journal:  J Biomech       Date:  2009-03-09       Impact factor: 2.712

5.  Sit-to-stand-and-walk from 120% Knee Height: A Novel Approach to Assess Dynamic Postural Control Independent of Lead-limb.

Authors:  Gareth D Jones; Darren C James; Michael Thacker; David A Green
Journal:  J Vis Exp       Date:  2016-08-30       Impact factor: 1.355

6.  Estimation of 3D Body Center of Mass Acceleration and Instantaneous Velocity from a Wearable Inertial Sensor Network in Transfemoral Amputee Gait: A Case Study.

Authors:  Emeline Simonetti; Elena Bergamini; Giuseppe Vannozzi; Joseph Bascou; Hélène Pillet
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

7.  Kinematics observed during ACL injury are associated with large early peak knee abduction moments during a change of direction task in healthy adolescents.

Authors:  Haraldur B Sigurðsson; Jón Karlsson; Lynn Snyder-Mackler; Kristín Briem
Journal:  J Orthop Res       Date:  2020-12-16       Impact factor: 3.494

8.  Step descent strategy is altered bilaterally despite unilateral muscle strength impairment after total knee arthroplasty.

Authors:  Paul W Kline; Cale A Jacobs; Stephen T Duncan; Brian Noehren
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2019-06-14       Impact factor: 4.114

9.  A statistical frame based TDMA protocol for human body communication.

Authors:  Zedong Nie; Zhao Li; Renwei Huang; Yuhang Liu; Jingzhen Li; Lei Wang
Journal:  Biomed Eng Online       Date:  2015-07-09       Impact factor: 2.819

10.  Application of computational lower extremity model to investigate different muscle activities and joint force patterns in knee osteoarthritis patients during walking.

Authors:  Kyung Wook Nha; Ariunzaya Dorj; Jun Feng; Jun Ho Shin; Jong In Kim; Jae Ho Kwon; Kyungsoo Kim; Yoon Hyuk Kim
Journal:  Comput Math Methods Med       Date:  2013-11-04       Impact factor: 2.238

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