Literature DB >> 17518287

Ambulatory assessment of ankle and foot dynamics.

H Martin Schepers1, H F J M Koopman, Peter H Veltink.   

Abstract

Ground reaction force (GRF) measurement is important in the analysis of human body movements. The main drawback of the existing measurement systems is the restriction to a laboratory environment. This paper proposes an ambulatory system for assessing the dynamics of ankle and foot, which integrates the measurement of the GRF with the measurement of human body movement. The GRF and the center of pressure (CoP) are measured using two six-degrees-of-freedom force sensors mounted beneath the shoe. The movement of foot and lower leg is measured using three miniature inertial sensors, two rigidly attached to the shoe and one on the lower leg. The proposed system is validated using a force plate and an optical position measurement system as a reference. The results show good correspondence between both measurement systems, except for the ankle power estimation. The root mean square (RMS) difference of the magnitude of the GRF over 10 evaluated trials was (0.012 +/- 0.001) N/N (mean +/- standard deviation), being (1.1 +/- 0.1)% of the maximal GRF magnitude. It should be noted that the forces, moments, and powers are normalized with respect to body weight. The CoP estimation using both methods shows good correspondence, as indicated by the RMS difference of (5.1 +/- 0.7) mm, corresponding to (1.7 +/- 0.3)% of the length of the shoe. The RMS difference between the magnitudes of the heel position estimates was calculated as (18 +/- 6) mm, being (1.4 +/- 0.5)% of the maximal magnitude. The ankle moment RMS difference was (0.004 +/- 0.001) Nm/N, being (2.3 +/- 0.5)% of the maximal magnitude. Finally, the RMS difference of the estimated power at the ankle was (0.02 +/- 0.005) W/N, being (14 +/- 5)% of the maximal power. This power difference is caused by an inaccurate estimation of the angular velocities using the optical reference measurement system, which is due to considering the foot as a single segment. The ambulatory system considers separate heel and forefoot segments, thus allowing an additional foot moment and power to be estimated. Based on the results of this research, it is concluded that the combination of the instrumented shoe and inertial sensing is a promising tool for the assessment of the dynamics of foot and ankle in an ambulatory setting.

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Mesh:

Year:  2007        PMID: 17518287     DOI: 10.1109/TBME.2006.889769

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  26 in total

1.  BioKin: an ambulatory platform for gait kinematic and feature assessment.

Authors:  Samitha W Ekanayake; Andrew J Morris; Mike Forrester; Pubudu N Pathirana
Journal:  Healthc Technol Lett       Date:  2015-02-25

Review 2.  Unobtrusive sensing and wearable devices for health informatics.

Authors:  Ya-Li Zheng; Xiao-Rong Ding; Carmen Chung Yan Poon; Benny Ping Lai Lo; Heye Zhang; Xiao-Lin Zhou; Guang-Zhong Yang; Ni Zhao; Yuan-Ting Zhang
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

3.  Robots with a sense of touch.

Authors:  Chiara Bartolozzi; Lorenzo Natale; Francesco Nori; Giorgio Metta
Journal:  Nat Mater       Date:  2016-08-24       Impact factor: 43.841

4.  Influence of the instrumented force shoe on gait pattern in patients with osteoarthritis of the knee.

Authors:  Josien van den Noort; Martin van der Esch; Martijn P Steultjens; Joost Dekker; Martin Schepers; Peter H Veltink; Jaap Harlaar
Journal:  Med Biol Eng Comput       Date:  2011-08-25       Impact factor: 2.602

5.  Gait analysis in children with cerebral palsy via inertial and magnetic sensors.

Authors:  Josien C van den Noort; Alberto Ferrari; Andrea G Cutti; Jules G Becher; Jaap Harlaar
Journal:  Med Biol Eng Comput       Date:  2012-12-09       Impact factor: 2.602

6.  Ambulatory human motion tracking by fusion of inertial and magnetic sensing with adaptive actuation.

Authors:  H Martin Schepers; Daniel Roetenberg; Peter H Veltink
Journal:  Med Biol Eng Comput       Date:  2009-12-17       Impact factor: 2.602

7.  Inertial sensor-based two feet motion tracking for gait analysis.

Authors:  Tran Nhat Hung; Young Soo Suh
Journal:  Sensors (Basel)       Date:  2013-04-29       Impact factor: 3.576

8.  A wearable ground reaction force sensor system and its application to the measurement of extrinsic gait variability.

Authors:  Tao Liu; Yoshio Inoue; Kyoko Shibata
Journal:  Sensors (Basel)       Date:  2010-11-16       Impact factor: 3.576

Review 9.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

10.  Pre-operative ambulatory measurement of asymmetric lower limb loading during walking in total hip arthroplasty patients.

Authors:  Alicia Martínez-Ramírez; Dirk Weenk; Pablo Lecumberri; Nico Verdonschot; Dean Pakvis; Peter H Veltink
Journal:  J Neuroeng Rehabil       Date:  2013-04-20       Impact factor: 4.262

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