KNEEMO – ESR 3 Biofeedback: intervention & evaluation Jaap Harlaar & Josien van den Noort VU medical center, dept Rehabilitation medicine MOVE Research Institute Amsterdam Dieter Rosenbaum, Münster
Dec 23, 2015
KNEEMO – ESR 3Biofeedback: intervention & evaluation
Jaap Harlaar & Josien van den NoortVU medical center, dept Rehabilitation medicine
MOVE Research Institute Amsterdam
Dieter Rosenbaum, Münster
Department of Rehabilitation Medicine
... to make people walk better
Clinical Gait Analysis
Intervention?
Motion Capture in a gait lab > joint kinematics
GroundReactionForce vector
Quantifying Knee load:Measuring the Knee Adduction Moment
Asymp Severe
Knee OsteoArthritis
9
10
From Force to Tissue Stress
Lateral
FBFFGRF
FMed
RBF RGRF
RKAdM
FMed = FGRF x (1 + RGRF / RBF)
RBF = 0.09m FGRF = 800N
KAdM = FGRF x RKAdM
Medial
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)The simple case
Advanced Musculoskeletal modelling
- Aim: precise quantitative data on: cartilage load intensity; location;and dynamics- alignment (> external load)
+ shape +cartilage properties + EMG (> muscle forces) cartilage loading
KAdM is a proxy for Knee Load
Asymp Severe
Baliunas et al. 2002, Mundermann et al. 2005, Thorp et al. 2006, Rutherford et al. 2008, Foroughi et al. 2009
Kinematic strategies
- To unload the kneeHunt et al. 2008, Simic et al. 2011, Shull et al. 2013, van den Noort et al. 2013
- E.g. toe-angle, trunk sway, step width, hip rotation
- Effect on ground reaction force and knee position- Change knee adduction moment
Toe-inNormal Trunk sway
How gait modifications affect the KAdM
Toe-inNormal Trunk sway
Toe-Out
van den Noort JC, Schaffers I, Snijders J, Harlaar J. The effectiveness of voluntary modifications of gait pattern to reduce the knee adduction moment. Hum Mov Sci. 2013 Jun;32(3):412-24
Role of visual feedback?
- May be effective for gait retrainingBarrios et al. 2010, Hunt et al. 2010, Shull et al. 2011, Wheeler et al. 2011
Gait Analysis in an VR environment
Overground gait lab GRAIL by
Questions
1. What is the most effective type of feedback to reduce knee load?
2. What is the best feedback parameter ?
GRAIL
- Gait Real-time Analysis Interactive Lab- Virtual environment with visual feedback- Motion capture system (Vicon)- Dual-belt instrumented treadmill
- 17 healthy subjects
4 types of Feedback using 2 variables
- Kinetic: Knee adduction moment- Kinematic: Hip internal rotation (promotes toeing
in)
- Four feedback types
KAdM feedback
- Decrease KAdM:- Bar 55%- Polar 56%- Color 53%- Graph 49%
- Different types feedback:- No effect
Hip angle feedback
- Increase hip endorotation- Bar 9o
- Polar 10o
- Color 8o
- Graph 7o
- Different types feedback:- No effect
Hip angle feedback
- However…KAdM did not decrease significantly with increased hip endorotation
Conclusion
- Real-time visual feedback effective to modify gait- ↓KAdM - ↑hip endorotation
- Feedback type made no difference
- To lower the KAdM, direct but implicit feedback is more effective than indirect (but explicit) kinematic feedback
How to proceed in ESR 3 ?Part1 - What are kinematic strategies used in lowering KAdM ?- Will KOA patients perform alike ?- Do their kinematic strategies differ from healthy ?
Part 2 - Will this training sustain ?
- Or is permanent feedback needed ? - >> wearable sensors – ESR11- based on personalized kinematic strategy & tactile feedback
- Does it promote functional gain ?- Does it decelerate joint status decline ?
Discussion – part 2
- Training intensity - Training frequency - Evaluation- Period- outcome measures
- KAdM- Functional Gain- ..
- pitfalls ?
KadM feedback to modify gait in KOA
A promising approach ?
Knee instability
Fitzgerald et al. 2004, Lewek et al. 2005, Felson et al. 2007, Schmitt et al. 2008
A measure of stability..
- Definition stability to maintain a position or control movement under
differing external loads Schipplein and Andriacchi 1991
- Via active neuromuscular system & passive restraint
- Joint laxity- No relation with self-reported instability Schmitt et al. 2008
- Not dynamic or functional
- Varus-valgus motion van der Esch et al. 2008
- Not related to muscle strength, joint proprioception, joint laxity and skeletal alignment
Mechanical measure of stability
Gait sensitivity norm (robotics)
Hobbelen and Wisse 2008
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