Understanding the complexity of human movement through novel developments in vector coding

About this project

• Centre for Biomechanics and Rehabilitation Technologies (CBRT)

Aim one - To provide a step-by-step approach on necessary VC calculations and confirm all outcome measures were defined and calculated correctly.

Aim two - To devise a new coordination pattern classification. In addition to previous classifications, the significance of the new classification also offers researchers the opportunity to quantify the percentage each segment contributes to movement.

Aim three - To development new data visualisations that detail outcome measures from VC in a time-domain.

Impact to date – The above developments are recognised by the citation status and inclusion in recent manuscript methodologies. Further recognition is evident via invitations to deliver tutorials at international conferences, contribute to book chapters and developed research collaborations.

Aim four (on-going) – To develop an open-source package that provides a graphical user interface to support data processing, analysis, and visualisation of vector coding outcome measures. This will help researchers and clinicians will little experience of using coding software to quickly analyse research findings.

• NEEDHAM, Robert, NAEMI, Roozbeh and CHOCKALINGAM, Nachiappan (2014) Quantifying lumbar-pelvis coordination during gait using a modified vector coding technique. Journal of biomechanics, 47 (5). pp. 1020-1026. ISSN 1873-2380 )
• NEEDHAM, Robert, NAEMI, Roozbeh and CHOCKALINGAM, Nachiappan (2015) A new coordination pattern classification to assess gait kinematics when utilising a modified vector coding technique. Journal of biomechanics, 48 (12). pp. 3506-3511. ISSN 1873-2380 )
• NEEDHAM, Robert, NAEMI, Roozbeh, Hamill, Joseph and CHOCKALINGAM, Nachiappan (2020) Analysing patterns of coordination and patterns of control using novel data visualisation techniques in vector coding. The Foot. p. 101678. ISSN 09582592 )