Agreement of spatio-temporal gait parameters between a vertical ground reaction force decomposition algorithm and a motion capture system.

INTRODUCTION A ground reaction force decomposition algorithm based on large force platform measurements has recently been developed to analyze ground reaction forces under each foot during the double support phase of gait. However, its accuracy for the measurement of the spatiotemporal gait parameters remains to be established. OBJECTIVE The aim of the present study was to establish the agreement between the spatiotemporal gait parameters obtained using (1) a walkway (composed of six large force platforms) and the newly developed algorithm, and (2) an optoelectronic motion capture system. METHODS Twenty healthy children and adolescents (age range: 6-17 years) and 19 healthy adults (age range: 19-51 years) participated in this study. They were asked to walk at their preferred speed and at a speed that was faster than the preferred one. Each participant performed three blocks of three trials in each of the two walking speed conditions. RESULTS The spatiotemporal gait parameters measured with the algorithm did not differ by more than 2.5% from those obtained with the motion capture system. The limits of agreement represented between 3% and 8% of the average spatiotemporal gait parameters. Repeatability of the algorithm was slightly higher than that of the motion capture system as the coefficient of variations ranged from 2.5% to 6%, and from 1.5% to 3.5% for the algorithm and the motion capture system, respectively. CONCLUSION The proposed algorithm provides valid and repeatable spatiotemporal gait parameter measurements and offers a promising tool for clinical gait analysis. Further studies are warranted to test the algorithm in people with impaired gait.

[1]  S. Morita,et al.  Gait analysis of hemiplegic patients by measurement of ground reaction force. , 1995, Scandinavian journal of rehabilitation medicine.

[2]  Catherine A Macleod,et al.  Development and validation of a low-cost, portable and wireless gait assessment tool. , 2014, Medical engineering & physics.

[3]  C Detrembleur,et al.  Decomposition of the vertical ground reaction forces during gait on a single force plate. , 2013, Journal of musculoskeletal & neuronal interactions.

[4]  J. Eng,et al.  Symmetry in vertical ground reaction force is accompanied by symmetry in temporal but not distance variables of gait in persons with stroke. , 2003, Gait & posture.

[5]  Kelly J. Bower,et al.  Concurrent validity of the Microsoft Kinect for assessment of spatiotemporal gait variables. , 2013, Journal of biomechanics.

[6]  P Calmels,et al.  Fatigue and neuromuscular diseases. , 2006, Annales de readaptation et de medecine physique : revue scientifique de la Societe francaise de reeducation fonctionnelle de readaptation et de medecine physique.

[7]  M. Morris,et al.  The reliability of three-dimensional kinematic gait measurements: a systematic review. , 2009, Gait & posture.

[8]  David A. Hawkins,et al.  Estimating Youth Locomotion Ground Reaction Forces Using an Accelerometer-Based Activity Monitor , 2012, PloS one.

[9]  D G Altman,et al.  Statistics Notes: Measurement error proportional to the mean , 1996, BMJ.

[10]  Mario Bizzini,et al.  Concurrent validity and intrasession reliability of the IDEEA accelerometry system for the quantification of spatiotemporal gait parameters. , 2008, Gait & posture.

[11]  P R Cavanagh,et al.  Decomposition of superimposed ground reaction forces into left and right force profiles. , 1993, Journal of biomechanics.

[12]  S. Studenski,et al.  Gait speed and survival in older adults. , 2011, JAMA.

[13]  Sheldon R Simon,et al.  Quantification of human motion: gait analysis-benefits and limitations to its application to clinical problems. , 2004, Journal of biomechanics.

[14]  Richard E Bowen,et al.  Outcomes of lower extremity orthopedic surgery in ambulatory children with cerebral palsy with and without gait analysis: results of a randomized controlled trial. , 2013, Gait & posture.

[15]  S. Hasan,et al.  Relationship between vertical ground reaction force and speed during walking, slow jogging, and running. , 1996, Clinical biomechanics.

[16]  K. Webster,et al.  Validity of the GAITRite walkway system for the measurement of averaged and individual step parameters of gait. , 2005, Gait & posture.

[17]  C. Detrembleur,et al.  Impact of ankle osteoarthritis on the energetics and mechanics of gait: the case of hemophilic arthropathy. , 2012, Clinical biomechanics.

[18]  M. Lemay,et al.  Group aquatic training improves gait efficiency in adolescents with cerebral palsy , 2011, Disability and rehabilitation.

[19]  B. E. Maki,et al.  Gait Changes in Older Adults: Predictors of Falls or Indicators of Fear? , 1997, Journal of the American Geriatrics Society.

[20]  S. Hirokawa,et al.  Normal gait characteristics under temporal and distance constraints. , 1989, Journal of biomedical engineering.

[21]  H J Stam,et al.  Techniques for measuring weight bearing during standing and walking. , 2003, Clinical biomechanics.

[22]  K. McGraw,et al.  Forming inferences about some intraclass correlation coefficients. , 1996 .

[23]  Xiaonan Xue,et al.  Quantitative gait dysfunction and risk of cognitive decline and dementia , 2007, Journal of Neurology, Neurosurgery & Psychiatry.

[24]  L Ballaz,et al.  Gait analysis using a force-measuring gangway: intrasession repeatability in healthy adults. , 2011, Journal of musculoskeletal & neuronal interactions.

[25]  Richard E Bowen,et al.  Influence of gait analysis on decision-making for lower extremity orthopaedic surgery: Baseline data from a randomized controlled trial. , 2011, Gait & posture.

[26]  B. Nigg,et al.  Asymmetries in ground reaction force patterns in normal human gait. , 1989, Medicine and science in sports and exercise.

[27]  Ciara M O'Connor,et al.  Automatic detection of gait events using kinematic data. , 2007, Gait & posture.

[28]  P. E. Martin,et al.  Step length and frequency effects on ground reaction forces during walking. , 1992, Journal of biomechanics.

[29]  Kamiar Aminian,et al.  3D gait assessment in young and elderly subjects using foot-worn inertial sensors. , 2010, Journal of biomechanics.

[30]  D. Winter,et al.  Overall principle of lower limb support during stance phase of gait. , 1980, Journal of biomechanics.

[31]  Analysing gait using a force-measuring walkway: intrasession repeatability in healthy children and adolescents , 2014, Computer methods in biomechanics and biomedical engineering.

[32]  Paul DeVita,et al.  Effects of added trunk load and corresponding trunk position adaptations on lower extremity biomechanics during drop-landings. , 2008, Journal of biomechanics.

[33]  K Aminian,et al.  Spatio-temporal gait analysis in children with cerebral palsy using, foot-worn inertial sensors. , 2014, Gait & posture.

[34]  John W Chow,et al.  Agreement Between Temporospatial Gait Parameters of an Electronic Walkway and a Motion Capture System in Healthy and Chronic Stroke Populations , 2009, American journal of physical medicine & rehabilitation.

[35]  P Desjardins,et al.  A force platform for large human displacements. , 2001, Medical engineering & physics.

[36]  F C T van der Helm,et al.  Use of pressure insoles to calculate the complete ground reaction forces. , 2004, Journal of biomechanics.

[37]  K. Meijer,et al.  Acceleration-based gait test for healthy subjects: reliability and reference data. , 2009, Gait & posture.

[38]  James E. Smeathers,et al.  Frequency-Domain Analysis Detects Previously Unidentified Changes in Ground Reaction Force With Visually Guided Foot Placement , 2003 .

[39]  Simon C. Potter,et al.  A Genome-Wide Association Search for Type 2 Diabetes Genes in African Americans , 2012, PLoS ONE.

[40]  D. Elliott,et al.  The effects of targeting on the ground reaction forces during level walking , 1993 .

[41]  R. Moe-Nilssen,et al.  Temporal and spatial gait parameters in patients dependent on walking assistance after stroke: reliability and agreement between simple and advanced methods of assessment. , 2014, Gait & posture.

[42]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[43]  N Berme,et al.  Probability of valid gait data acquisition using currently available force plates. , 1997, Biomedical sciences instrumentation.

[44]  A. Patla,et al.  Visual control of step length during overground locomotion: task-specific modulation of the locomotor synergy , 1989 .

[45]  A. Beckett,et al.  AKUFO AND IBARAPA. , 1965, Lancet.