Visualising Coordination Patterns during human movement

Here’s an introduction and highlights of our work

  • Proposed coordination pattern classification can offer an interpretation of the CA that provides either in-phase or anti-phase coordination information, along with an understanding of the direction of segmental rotations and the segment that is the dominant mover at each point in time.

Introduction to Vector Coding

  • The traditional approach of reporting time-series data from vector coding can be problematic when overlaying multiple trials on the same illustration.
  • The use of colour mapping and profiling techniques highlighted differences in coordination pattern and coordination variability data across several participants that questions the interpretation and relevance of reporting group data.

Coordinatiion Mapping

  • Colour mapping and profiling techniques are ideal reporting methods to compliment prospective multiple single-subject design studies and to classify commonalities and differences in patterns of coordination and patterns of control between individuals or trials.
  • The data visualisation approaches in the current study may provide further insight on overuse injuries, exercise prescription and rehabilitation interventions.
  • Our approach can have important implications in demonstrating gait coordination data in an easily comprehensible fashion by clinicians and scientists alike.

Key References

Needham, R., Naemi, R. and Chockalingam, N., 2014. Quantifying lumbar–pelvis coordination during gait using a modified vector coding technique. Journal of biomechanics47(5), pp.1020-1026. https://doi.org/10.1016/j.jbiomech.2013.12.032

Needham, R.A., Naemi, R. and Chockalingam, N., 2015. A new coordination pattern classification to assess gait kinematics when utilising a modified vector coding technique. Journal of biomechanics48(12), pp.3506-3511. https://doi.org/10.1016/j.jbiomech.2015.07.023

Needham, R.A., Naemi, R., Hamill, J. and Chockalingam, N., 2020. Analysing patterns of coordination and patterns of control using novel data visualisation techniques in vector coding. The Foot, p.101678.  https://doi.org/10.1016/j.foot.2020.101678

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