Literature DB >> 29137725

A gait retraining system using augmented-reality to modify footprint parameters: Effects on lower-limb sagittal-plane kinematics.

Sami Bennour1, Baptiste Ulrich2, Thomas Legrand2, Brigitte M Jolles3, Julien Favre4.   

Abstract

Improving lower-limb flexion/extension angles during walking is important for the treatment of numerous pathologies. Currently, these gait retraining procedures are mostly qualitative, often based on visual assessment and oral instructions. This study aimed to propose an alternative method combining motion capture and display of target footprints on the floor. The second objectives were to determine the error in footprint modifications and the effects of footprint modifications on lower-limb flexion/extension angles. An augmented-reality system made of an optoelectronic motion capture device and video projectors displaying target footprints on the floor was designed. 10 young healthy subjects performed a series of 27 trials, consisting of increased and decreased amplitudes in stride length, step width and foot progression angle. 11 standard features were used to describe and compare lower-limb flexion/extension angles among footprint modifications. Subjects became accustomed to walk on target footprints in less than 10 min, with mean (± SD) precision of 0.020 ± 0.002 m in stride length, 0.022 ± 0.006 m in step width, and 2.7 ± 0.6° in progression angle. Modifying stride length had significant effects on 3/3 hip, 2/4 knee and 4/4 ankle features. Similarly, step width and progression angle modifications affected 2/3 and 1/3 hip, 2/4 and 1/4 knee as well as 3/4 and 2/4 ankle features, respectively. In conclusion, this study introduced an augmented-reality method allowing healthy subjects to modify their footprint parameters rapidly and precisely. Walking with modified footprints changed lower-limb sagittal-plane kinematics. Further research is needed to design rehabilitation protocols for specific pathologies.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Foot progression angle; Rehabilitation; Step width; Stride length; Video projection

Mesh:

Year:  2017        PMID: 29137725     DOI: 10.1016/j.jbiomech.2017.10.030

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


  4 in total

1.  Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim.

Authors:  Giacomo Di Raimondo; Benedicte Vanwanseele; Arthur van der Have; Jill Emmerzaal; Miel Willems; Bryce Adrian Killen; Ilse Jonkers
Journal:  Sensors (Basel)       Date:  2022-04-24       Impact factor: 3.847

Review 2.  Augmented Reality in Physical Therapy: Systematic Review and Meta-analysis.

Authors:  Maria Jesus Vinolo Gil; Gloria Gonzalez-Medina; David Lucena-Anton; Veronica Perez-Cabezas; María Del Carmen Ruiz-Molinero; Rocío Martín-Valero
Journal:  JMIR Serious Games       Date:  2021-12-15       Impact factor: 4.143

3.  A Quality of Experience assessment of haptic and augmented reality feedback modalities in a gait analysis system.

Authors:  Thiago Braga Rodrigues; Ciarán Ó Catháin; Noel E O'Connor; Niall Murray
Journal:  PLoS One       Date:  2020-03-23       Impact factor: 3.240

4.  Real-Time Musculoskeletal Kinematics and Dynamics Analysis Using Marker- and IMU-Based Solutions in Rehabilitation.

Authors:  Dimitar Stanev; Konstantinos Filip; Dimitrios Bitzas; Sokratis Zouras; Georgios Giarmatzis; Dimitrios Tsaopoulos; Konstantinos Moustakas
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

  4 in total

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