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RIWC_PARA_A029 Gait Analysis

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A029 Gait Analysis

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RIWC_PARA_A029 Gait Analysis

  1. 1. Gait Analysis: Its Use as a Treatment and Rehabilitative Tool Gwenllian Tawy¹, Philip Riches¹, Philip Rowe¹ ¹University of Strathclyde, Glasgow, UK
  2. 2. • Method of analysing movement • Joint kinematics and kinetics • 2D or 3D • Identify pathological movement patterns • Guide rehabilitation and treatment programmes1,2 WHAT IS GAIT ANALYSIS?
  3. 3. CLINICAL USE Rarely used in clinical environments3,4 Problems: • Large footprint • Time consuming • Marker placement protocols • Complicated software • Complicated data • Limited training available to clinicians • Expensive Consequences: • Limited accessibility • Limited evidence of effectiveness
  4. 4. WHY SHOULD WE USE IT? • Gold standard method4 • Non-invasive • Multiple measurements can be recorded simultaneously • Information on functional abilities • Guide rehabilitative and treatment plans • Improve functional outcome following a treatment • Feedback to patients on progress • Evidence of its benefits Aim: Develop a clinic-appropriate motion capture system to assess lower limb function.
  5. 5. DEVELOPMENT
  6. 6. ASSESSING RANGE OF MOTION • Important outcome of interest5 • Commonly used in orthopaedics • Traditionally measured with a goniometer 5 • Method is familiar to clinicians
  7. 7. ASSESSING STRENGTH • Informative outcome measure 6 • Not always carried out in a clinical environment 6 • Chair dynamometers/myometers occasionally used 6 • Method familiar to clinicians
  8. 8. ASSESSING GAIT PATTERN AND STABILITY • Walking kinematics • Balance (Motor control) • Identify pathalogical gait • Gauge level of mobility
  9. 9. EASE OF USE • Quick set-up time • Patient friendly assessments • Computer control with footswitch • No need to label markers and process data • Results in real-time • Results in simple formats • Total assessment time is <20 minutes
  10. 10. CONCLUSIONS • Gait Analysis is a gold standard method • Appropriate for a clinical environment • Can record large amounts of data quickly • Real-time • Potential for large-scale use
  11. 11. ACKNOWLEDGEMENTS Supervisors: Professor Philip Rowe & Dr Philip Riches Trial Team: Miss Leela Biant, Mr Michiel Simons, Lorna MacLeod, Andre Attard 1Wren, T.A.L., Otsuka, N.Y., Bowen, R.E., Scaduto, A.A., Chan, L.S., Sheng, M., Hara, R., Kay, R.M (2011b). “Influence of gait analysis on decision-making for lower extremity orthopaedic surgery: Baseline data from a randomized controlled trial.” Gait & posture 34(3): 364–9. 2Lofterød, B., Terjesen, T., Skaaret, I., Huse, A-B., Jahnsen, R (2007). “Preoperative gait analysis has a substantial effect on orthopedic decision making in children with cerebral palsy: comparison between clinical evaluation and gait analysis in 60 patients.” Acta orthopaedica 78(1): 74–80. 3Dimanico, U., Gastaldi, L., Caramella, M., Marachetti, P., Pastorelli, S., Soragnese, F (2009). “Inter-therapist and inter-methodology marker placement influence on clinical gait analysis.” Gait & Posture 30: S138–S139. 4Meldrum, D., Shouldice, C., Conroy, R., Jones, K., Forward, M (2014). “Test-retest reliability of three dimensional gait analysis: including a novel approach to visualising agreement of gait cycle waveforms with Bland and Altman plots.” Gait & posture 39(1): 265–71. 5Austin, M.S., Ghanem E., Joshi, A., Trappler, R., Parvizi, J., Hozack, W.J (2008). “The assessment of intraoperative prosthetic knee range of motion using two methods.” The Journal of arthroplasty, 23(4): 515–21. 6Henriksen, M., Rosager, S., Aaboe, J., Graven-Nielsen, T., Bliddal, H (2011). “Experimental knee pain reduces muscle strength.” The journal of pain : official journal of the American Pain Society 12(4):460–7.

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